{"id":9300,"date":"2026-08-01T16:15:13","date_gmt":"2026-08-01T16:15:13","guid":{"rendered":"https:\/\/wuyegallery.com\/wuyeblog\/?p=9300"},"modified":"2026-08-01T16:37:23","modified_gmt":"2026-08-01T16:37:23","slug":"neuro-science-history-09","status":"publish","type":"post","link":"https:\/\/wuyegallery.com\/wuyeblog\/index.php\/2026\/08\/01\/neuro-science-history-09\/","title":{"rendered":"\u6211\u5728\u795e\u7ecf\u79d1\u5b66\u7814\u7a76\u4e4b\u8def\u4e0a\u7684\u5f80\u4e8b \uff08\u4e5d\uff09\u6700\u540e\u4e00\u7ae0\u2014\u6211\u5bf9\u795e\u7ecf\u79d1\u5b66\u7814\u7a76\u7684\u4e3b\u8981\u8d21\u732e\uff08\u8c37\u6b4c\u641c\u7d22\u7ed3\u679c\uff09"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/wuyegallery.com\/wuyeblog\/wp-content\/uploads\/2026\/08\/1000076817-1024x683.png\" alt=\"\" class=\"wp-image-9434\" srcset=\"https:\/\/wuyegallery.com\/wuyeblog\/wp-content\/uploads\/2026\/08\/1000076817-1024x683.png 1024w, https:\/\/wuyegallery.com\/wuyeblog\/wp-content\/uploads\/2026\/08\/1000076817-300x200.png 300w, https:\/\/wuyegallery.com\/wuyeblog\/wp-content\/uploads\/2026\/08\/1000076817-768x512.png 768w, https:\/\/wuyegallery.com\/wuyeblog\/wp-content\/uploads\/2026\/08\/1000076817.png 1536w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">AI\u521b\u4f5c\u7684\u6709\u5173\u8111\u6d3b\u52a8\u4e0e\u8fd0\u52a8\u53c2\u6570\u76f8\u5173\u6027\u7684\u793a\u610f\u56fe\uff08\u57fa\u4e8e\u6211\u7684\u7814\u7a76\uff09<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e3a\u4e86\u603b\u7ed3\u6211\u5728\u795e\u7ecf\u79d1\u5b66\u7814\u7a76\u65b9\u9762\u7684\u5de5\u4f5c\uff0c\u6211\u5411\u8c37\u6b4c\u641c\u7d22\u5f15\u64ce\u4f9d\u6b21\u63d0\u51fa\u4e86\u4ee5\u4e0b\u56db\u4e2a\u95ee\u9898\uff1a<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">1\uff09\u8be6\u7ec6\u4ecb\u7ecd\u5085\u5e86\u529f\u5173\u4e8e\u8fd0\u52a8\u63a7\u5236\u7684\u5177\u4f53\u8bba\u6587\u548c\u7814\u7a76\u6210\u679c<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">2\uff09\u8bba\u6587\u4e2d\u4f7f\u7528\u7684\u201c\u6cca\u677e\u56de\u5f52\u6a21\u578b\u201d\u662f\u5982\u4f55\u89e3\u7801\u795e\u7ecf\u653e\u7535\u6570\u636e\u7684<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">3\uff09\u4ed6\u7684\u53d1\u73b0\u4e0e\u73b0\u4ee3\u8111\u673a\u63a5\u53e3\uff08BCI\uff09\u8fd0\u52a8\u89e3\u7801\u7b97\u6cd5\u7684\u5177\u4f53\u8054\u7cfb<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">4\uff09\u6df1\u5165\u62c6\u89e3\u7b80\u5355\u5c16\u5cf0\u4e0e\u590d\u5408\u5c16\u5cf0\u5728\u8fd0\u52a8\u5b66\u4e60\u4e2d\u7684\u4e0d\u540c\u5206\u5de5<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u8c37\u6b4c\u7b54\u6848\u5982\u4e0b\uff1a<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\uff08\u4e00\uff09\u8be6\u7ec6\u4ecb\u7ecd\u5085\u5e86\u529f\u5173\u4e8e\u8fd0\u52a8\u63a7\u5236\u7684\u5177\u4f53\u8bba\u6587\u548c\u7814\u7a76\u6210\u679c<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">\u5085\u5e86\u529f\uff08Qinggong Fu\uff09\u5728\u795e\u7ecf\u751f\u7406\u5b66\u548c\u8fd0\u52a8\u63a7\u5236\u9886\u57df\u7684\u7ecf\u5178\u7814\u7a76\uff0c\u4e3b\u8981\u96c6\u4e2d\u4e8e 20 \u4e16\u7eaa 90 \u5e74\u4ee3\u4e2d\u540e\u671f\u3002\u4ed6\u4f5c\u4e3a\u6838\u5fc3\u4f5c\u8005\uff0c\u4e0e\u8fd0\u52a8\u63a7\u5236\u9886\u57df\u9876\u5c16\u79d1\u5b66\u5bb6\uff08\u5982 Timothy J. Ebner \u7b49\uff09\u5408\u4f5c\uff0c\u5728 \u300aJournal of Neurophysiology\u300b\uff08\u795e\u7ecf\u751f\u7406\u5b66\u6742\u5fd7\uff09\u7b49\u56fd\u9645\u6743\u5a01\u671f\u520a\u4e0a\u53d1\u8868\u4e86\u4e00\u7cfb\u5217\u6781\u5177\u5f71\u54cd\u529b\u7684\u7535\u751f\u7406\u5b66\u7814\u7a76\u6210\u679c\u3002 [1]<br>\u4ed6\u7684\u7814\u7a76\u6838\u5fc3\u5728\u4e8e\u63ed\u793a\u5927\u8111\uff08\u7279\u522b\u662f\u5c0f\u8111\u4e0e\u8fd0\u52a8\u76ae\u5c42\uff09\u5982\u4f55\u7f16\u7801\u548c\u5b9e\u65f6\u63a7\u5236\u80a2\u4f53\u8fd0\u52a8\u7684\u52a8\u6001\u53c2\u6570\uff08\u5982\u65b9\u5411\u3001\u901f\u5ea6\u3001\u8ddd\u79bb\uff09\u3002\u4ee5\u4e0b\u662f\u5176\u6838\u5fc3\u8bba\u6587\u4e0e\u5177\u4f53\u7814\u7a76\u6210\u679c\u7684\u8be6\u7ec6\u89e3\u6790\uff1a [1, 2]<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e00\u3001 \u6838\u5fc3\u7814\u7a76\u6210\u679c<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u63ed\u793a\u5c0f\u8111\u666e\u80af\u91ce\u7ec6\u80de\uff08Purkinje Cells\uff09\u5bf9\u8fd0\u52a8\u52a8\u529b\u5b66\u7684\u53cc\u91cd\u7f16\u7801\u673a\u5236<br>\u5728\u5c0f\u8111\u63a7\u5236\u80a2\u4f53\u8fd0\u52a8\u7684\u7814\u7a76\u4e2d\uff0c\u5085\u5e86\u529f\u505a\u51fa\u4e86\u91cc\u7a0b\u7891\u5f0f\u7684\u8d21\u732e\u3002\u4ed6\u901a\u8fc7\u8bad\u7ec3\u975e\u4eba\u7075\u957f\u7c7b\u52a8\u7269\uff08\u7315\u7334\uff09\u6267\u884c\u9ad8\u5ea6\u7cbe\u51c6\u7684\u624b\u52a8\u8ffd\u8e2a\u4efb\u52a1\uff08Manual-tracking task\uff09\uff0c\u5229\u7528\u5fae\u7535\u6781\u6280\u672f\u5b9e\u65f6\u8bb0\u5f55\u4e86\u5c0f\u8111\u76ae\u5c42\u666e\u80af\u91ce\u7ec6\u80de\u7684\u4e24\u79cd\u7535\u4fe1\u53f7\u53d1\u653e\uff1a\u7b80\u5355\u5c16\u5cf0\uff08Simple Spikes\uff09\u548c\u590d\u5408\u5c16\u5cf0\uff08Complex Spikes\uff09\u3002 [1, 2, 3]<br>\u2022 \u7b80\u5355\u5c16\u5cf0\uff08Simple Spikes\uff09\u7684\u7a7a\u95f4\u4e0e\u901f\u5ea6\u7f16\u7801\uff1a\u4ed6\u7684\u7814\u7a76\uff08\u53d1\u8868\u4e8e 1997 \u5e74\u53ca\u540e\u7eed\uff09\u660e\u786e\u8bc1\u5b9e\uff0c\u666e\u80af\u91ce\u7ec6\u80de\u7684\u7b80\u5355\u5c16\u5cf0\u6d3b\u52a8\u80fd\u591f\u9ad8\u5ea6\u7cbe\u786e\u5730\u540c\u65f6\u7f16\u7801\u624b\u81c2\u8fd0\u52a8\u7684\u65b9\u5411\uff08Direction\uff09\u548c\u901f\u5ea6\uff08Speed\uff09\u3002\u8fd9\u4e00\u53d1\u73b0\u6709\u529b\u652f\u6301\u4e86\u5c0f\u8111\u4f5c\u4e3a\u201c\u5185\u90e8\u524d\u5411\u6a21\u578b\uff08Forward Internal Model\uff09\u201d\u7684\u7406\u8bba\u2014\u2014\u5373\u5c0f\u8111\u80fd\u591f\u9884\u6d4b\u8fd0\u52a8\u7684\u5b9e\u65f6\u8f68\u8ff9\u548c\u52a8\u529b\u5b66\u72b6\u6001\u3002 [1, 2, 3, 4]<br>\u2022 \u590d\u5408\u5c16\u5cf0\uff08Complex Spikes\uff09\u7684\u4fe1\u606f\u89e3\u7801\uff1a\u957f\u4e45\u4ee5\u6765\uff0c\u5b66\u672f\u754c\u5bf9\u4f4e\u9891\u53d1\u653e\u7684\u590d\u5408\u5c16\u5cf0\u7a76\u7adf\u4f20\u9012\u4ec0\u4e48\u4fe1\u53f7\u4e89\u8bba\u4e0d\u4f11\uff08\u8fd0\u52a8\u8bef\u5dee\u8fd8\u662f\u8fd0\u52a8\u672c\u8eab\uff09\u3002\u5085\u5e86\u529f\u91c7\u7528\u6cca\u677e\u56de\u5f52\u6a21\u578b\uff08Poisson Regression Modeling\uff09\u5bf9\u5355\u6b21\u8fd0\u52a8\u8bd5\u9a8c\u6570\u636e\u8fdb\u884c\u91cf\u5316\u5206\u6790\uff0c\u9996\u6b21\u8bc1\u5b9e\u590d\u5408\u5c16\u5cf0\u7684\u53d1\u653e\u540c\u6837\u663e\u8457\u5730\u7f16\u7801\u4e86\u8ffd\u8e2a\u8fd0\u52a8\u7684\u65b9\u5411\u548c\u901f\u5ea6\uff0c\u800c\u5e76\u975e\u4ec5\u4ec5\u5bf9\u8fd0\u52a8\u8bef\u5dee\u505a\u51fa\u53cd\u5e94\u3002 [1, 2]<br>\u2022 \u4ea4\u4e92\u4e92\u8865\u89c4\u5f8b\uff08Reciprocal Relationship\uff09\uff1a\u4ed6\u8fdb\u4e00\u6b65\u53d1\u73b0\uff0c\u8bb8\u591a\u666e\u80af\u91ce\u7ec6\u80de\u7684\u590d\u5408\u5c16\u5cf0\u7684\u201c\u6700\u4f73\u504f\u597d\u65b9\u5411\uff08Preferred Direction\uff09\u201d\u4e0e\u7b80\u5355\u5c16\u5cf0\u5448\u73b0\u51fa\u7a7a\u95f4\u4e92\u8865\u6216\u76f8\u53cd\u7684\u5bf9\u5e94\u5173\u7cfb\uff0c\u8fd9\u63ed\u793a\u4e86\u4e0b\u6a44\u6984\u6838-\u5c0f\u8111\u76ae\u5c42\u56de\u8def\u5728\u534f\u8c03\u808c\u8089\u7cbe\u7ec6\u8fd0\u52a8\u65f6\u7684\u5bf9\u51b2\u548c\u7a33\u5b9a\u673a\u5236\u3002 [1, 2]<\/li>\n\n\n\n<li>\u8fd0\u52a8\u76ae\u5c42\uff08Motor Cortex\uff09\u5bf9\u901f\u5ea6\u4e0e\u65b9\u5411\u7684\u6570\u5b66\u6a21\u578b\u6784\u5efa<br>\u5728\u8fd0\u52a8\u76ae\u5c42\u7684\u7814\u7a76\u4e2d\uff0c\u5085\u5e86\u529f\u540c\u6837\u63a2\u8ba8\u4e86\u5927\u8111\u76ae\u5c42\u795e\u7ecf\u5143\u5982\u4f55\u5c06\u9ad8\u7ea7\u7684\u201c\u8fd0\u52a8\u610f\u56fe\u201d\u8f6c\u5316\u4e3a\u5177\u4f53\u7684\u201c\u8fd0\u52a8\u53c2\u6570\u201d\u3002 [1, 2]<br>\u2022 \u8054\u5408\u7f16\u7801\u65b9\u7a0b\uff08Joint Representation Equation\uff09\uff1a\u5728\u4f20\u7edf\u7684\u201c\u504f\u597d\u65b9\u5411\u201d\u7406\u8bba\u57fa\u7840\u4e0a\uff0c\u5085\u5e86\u529f\u53ca\u5176\u5408\u4f5c\u8005\u53d1\u73b0\uff0c\u521d\u7ea7\u8fd0\u52a8\u76ae\u5c42\u795e\u7ecf\u5143\u7684\u653e\u7535\u7387\u4e0d\u4ec5\u4e0e\u65b9\u5411\u6709\u5173\uff0c\u8fd8\u88ab\u8fd0\u52a8\u7684\u65f6\u53d8\u901f\u5ea6\uff08Time-varying speed\uff09\u6df1\u5ea6\u8c03\u5236\u3002\u5979\u4eec\u5f00\u53d1\u51fa\u4e86\u4e00\u4e2a\u7edf\u4e00\u7684\u6570\u5b66\u65b9\u7a0b\uff0c\u8be5\u65b9\u7a0b\u5305\u542b\u72ec\u7acb\u7684\u201c\u901f\u5ea6\u201d\u7ec4\u4ef6\u4ee5\u53ca\u201c\u901f\u5ea6\u4e0e\u65b9\u5411\u201d\u7684\u4ea4\u4e92\u7ec4\u4ef6\uff0c\u80fd\u591f\u89e3\u91ca\u7334\u5b50\u5728\u8fdb\u884c\u591a\u65b9\u5411\u5230\u8fbe\uff08Reaching\uff09\u4efb\u52a1\u65f6\uff0c\u8fd0\u52a8\u76ae\u5c42\u5f88\u5927\u4e00\u90e8\u5206\u7684\u65f6\u53d8\u795e\u7ecf\u5143\u653e\u7535\u89c4\u5f8b\u3002 [1]<br>\u2022 \u76ae\u5c42\u653e\u7535\u4e0e\u808c\u8089\u6d3b\u52a8\u7684\u5b9e\u8d28\u5dee\u5f02\uff1a\u901a\u8fc7\u540c\u6b65\u8bb0\u5f55\u4e0a\u80a2\u591a\u5757\u808c\u8089\u7684\u808c\u7535\u56fe\uff08EMG\uff09\u6d3b\u52a8\uff0c\u5085\u5e86\u529f\u5bf9\u6bd4\u53d1\u73b0\uff0c\u867d\u7136\u808c\u8089\u6d3b\u52a8\u4e5f\u8868\u73b0\u51fa\u65b9\u5411\u9009\u62e9\u6027\uff0c\u4f46\u8fd0\u52a8\u76ae\u5c42\u7684\u7a7a\u95f4\u65b9\u5411\u5206\u5e03\u548c\u901f\u5ea6\u654f\u611f\u5ea6\u4e0e\u5916\u5468\u808c\u8089\u7684\u5b9e\u9645\u8868\u73b0\u6709\u7740\u672c\u8d28\u7684\u4e0d\u540c\u3002\u8fd9\u8868\u660e\u8fd0\u52a8\u76ae\u5c42\u7f16\u7801\u7684\u662f\u66f4\u9ad8\u7ea7\u7684\u201c\u8fd0\u52a8\u8fd0\u52a8\u5b66\uff08Kinematics\uff09\u201d\u53c2\u6570\uff0c\u800c\u975e\u7b80\u5355\u7684\u4e00\u5bf9\u4e00\u808c\u8089\u9a71\u52a8\u4fe1\u53f7\u3002 [1, 2]<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e8c\u3001 \u4ee3\u8868\u6027\u8bba\u6587\u6e05\u5355\uff08\u90e8\u5206\u7ecf\u5178\uff09<br>\u5085\u5e86\u529f\u53d1\u8868\u7684\u4ee3\u8868\u6027\u9ad8\u5f15\u8bba\u6587\u4e3b\u8981\u5305\u542b\u4ee5\u4e0b\u4e24\u7bc7\u6838\u5fc3\u8457\u4f5c\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u300a\u8fd0\u52a8\u76ae\u5c42\u5728\u5230\u8fbe\u4efb\u52a1\u4e2d\u5bf9\u901f\u5ea6\u548c\u65b9\u5411\u7684\u8868\u5f81\u300b<br>o \u82f1\u6587\u9898\u76ee\uff1aMotor Cortical Representation of Speed and Direction During a Reaching Task.<br>o \u53d1\u8868\u671f\u520a\uff1aJournal of Neurophysiology (1999)<br>o \u6838\u5fc3\u8d21\u732e\uff1a\u63d0\u51fa\u4e86\u8fd0\u52a8\u76ae\u5c42\u795e\u7ecf\u5143\u540c\u65f6\u5904\u7406\u901f\u5ea6\u4e0e\u65b9\u5411\u7684\u975e\u7ebf\u6027\u4ea4\u4e92\u6570\u5b66\u65b9\u7a0b\uff0c\u660e\u786e\u4e86\u76ae\u5c42\u4e0e\u5916\u5468\u808c\u7535\u56fe\u5728\u53c2\u6570\u7f16\u7801\u4e0a\u7684\u5dee\u5f02\u3002 [1, 2]<\/li>\n\n\n\n<li>\u300a\u590d\u5408\u5c16\u5cf0\u53d1\u653e\u5230\u80a2\u4f53\u8fd0\u52a8\u65f6\u4fe1\u53f7\u4f20\u9012\u4e86\u4ec0\u4e48\uff1f\u300b<br>o \u82f1\u6587\u9898\u76ee\uff1aWhat Do Complex Spikes Signal about Limb Movements?<br>o \u53d1\u8868\u671f\u520a\uff1aAnnals of the New York Academy of Sciences (2002)<br>o \u6838\u5fc3\u8d21\u732e\uff1a\u4f7f\u7528\u5355\u6b21\u8bd5\u9a8c\u7684\u6cca\u677e\u6a21\u578b\uff0c\u8bba\u8bc1\u4e86\u5c0f\u8111\u666e\u80af\u91ce\u7ec6\u80de\u7684\u590d\u5408\u5c16\u5cf0\u5bf9\u8fd0\u52a8\u901f\u5ea6\u548c\u65b9\u5411\u7684\u5b9e\u65f6\u7f16\u7801\uff0c\u63a8\u52a8\u4e86\u5b66\u672f\u754c\u5bf9\u5c0f\u8111\u4fe1\u606f\u5904\u7406\u673a\u5236\u7684\u91cd\u6784\u3002 [1]<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e09\u3001 \u5728\u73b0\u4ee3\u795e\u7ecf\u79d1\u5b66\u4e2d\u7684\u7406\u8bba\u4ef7\u503c<br>\u5085\u5e86\u529f\u7684\u7814\u7a76\u6210\u679c\u4e3a\u73b0\u4ee3\u8fd0\u52a8\u63a7\u5236\u7406\u8bba\u5960\u5b9a\u4e86\u91cd\u8981\u7684\u5fae\u89c2\u7535\u751f\u7406\u57fa\u7840\uff1a<br>\u2022 \u63a8\u52a8\u4e86\u8111\u673a\u63a5\u53e3\uff08BCI\uff09\u7684\u53d1\u5c55\uff1a\u4ed6\u63d0\u51fa\u7684\u8fd0\u52a8\u76ae\u5c42\u65b9\u5411\/\u901f\u5ea6\u8054\u5408\u7f16\u7801\u65b9\u7a0b\uff0c\u540e\u6765\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u8fd0\u52a8\u8111\u673a\u63a5\u53e3\u7684\u201c\u89e3\u7801\u7b97\u6cd5\u201d\u4e2d\uff0c\u5e2e\u52a9\u79d1\u5b66\u5bb6\u901a\u8fc7\u8fc7\u6ee4\u8fd0\u52a8\u76ae\u5c42\u4fe1\u53f7\u6765\u9ad8\u7cbe\u5ea6\u9884\u6d4b\u673a\u68b0\u81c2\u7684\u79fb\u52a8\u901f\u5ea6\u548c\u8f68\u8ff9\u3002<br>\u2022 \u5b8c\u5584\u4e86\u5c0f\u8111\u5185\u90e8\u6a21\u578b\u7406\u8bba\uff1a\u5bf9\u666e\u80af\u91ce\u7ec6\u80de\u7b80\u5355\u5c16\u5cf0\u4e0e\u590d\u5408\u5c16\u5cf0\u7684\u5b9a\u91cf\u5206\u6790\uff0c\u8bc1\u5b9e\u4e86\u8fd0\u52a8\u5b66\u53c2\u6570\uff08\u4f4d\u7f6e\u3001\u901f\u5ea6\u3001\u65b9\u5411\uff09\u5728\u5c0f\u8111\u76ae\u5c42\u4e2d\u5b58\u5728\u6781\u5176\u7cbe\u786e\u7684\u7ec6\u80de\u7ea7\u8868\u5f81\uff0c\u4e3a\u7406\u89e3\u4eba\u7c7b\u8fd0\u52a8\u534f\u8c03\u6027\u53ca\u5c0f\u8111\u5171\u6d4e\u5931\u8c03\uff08Ataxia\uff09\u75c5\u7406\u63d0\u4f9b\u4e86\u5173\u952e\u652f\u6491\u3002 [1, 2]<br><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\uff08\u4e8c)\u8bba\u6587\u4e2d\u4f7f\u7528\u7684\u201c\u6cca\u677e\u56de\u5f52\u6a21\u578b\u201d\u662f\u5982\u4f55\u89e3\u7801\u795e\u7ecf\u653e\u7535\u6570\u636e\u7684<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><br>\u5728\u5085\u5e86\u529f\uff08Qinggong Fu\uff09\u5173\u4e8e\u80a2\u4f53\u8fd0\u52a8\u63a7\u5236\u7684\u795e\u7ecf\u751f\u7406\u5b66\u7814\u7a76\u4e2d\uff0c\u201c\u6cca\u677e\u56de\u5f52\u6a21\u578b\u201d\uff08Poisson Regression Model\uff09\u5e76\u975e\u76f4\u63a5\u7528\u4e8e\u201c\u89e3\u7801\u201d\uff08\u5373\u4ece\u795e\u7ecf\u4fe1\u53f7\u53cd\u63a8\u8fd0\u52a8\u8f68\u8ff9\uff09\uff0c\u800c\u662f\u4f5c\u4e3a\u4e00\u79cd\u5148\u8fdb\u7684\u7f16\u7801\/\u7edf\u8ba1\u5efa\u6a21\u5de5\u5177\uff0c\u7528\u4e8e\u5206\u6790\u795e\u7ecf\u5143\u653e\u7535\u6570\u636e\uff08Spike Counts\uff09\u4e0e\u8fd0\u52a8\u8fd0\u52a8\u5b66\u53c2\u6570\uff08\u5982\u901f\u5ea6\u3001\u65b9\u5411\uff09\u4e4b\u95f4\u7684\u5b9a\u91cf\u5173\u7cfb\u3002<br>\u4f20\u7edf\u7684\u7ebf\u6027\u56de\u5f52\u5728\u5904\u7406\u5355\u6b21\u8bd5\u9a8c\uff08Single-trial\uff09\u7684\u795e\u7ecf\u6570\u636e\u65f6\u9047\u5230\u4e86\u7edf\u8ba1\u74f6\u9888\uff0c\u800c\u5085\u5e86\u529f\u901a\u8fc7\u5f15\u5165\u6cca\u677e\u56de\u5f52\uff0c\u5b8c\u7f8e\u5730\u89e3\u51b3\u4e86\u795e\u7ecf\u5143\u8109\u51b2\u8ba1\u6570\u7684\u79bb\u6563\u6027\u4e0e\u975e\u7ebf\u6027\u7279\u5f81\u3002\u4ee5\u4e0b\u662f\u8be5\u6a21\u578b\u5904\u7406\u548c\u89e3\u6790\u795e\u7ecf\u653e\u7535\u6570\u636e\u7684\u5177\u4f53\u673a\u5236\uff1a [1, 2]<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e00\u3001 \u4e3a\u4ec0\u4e48\u5fc5\u987b\u4f7f\u7528\u6cca\u677e\u56de\u5f52\uff1f\uff08\u4f20\u7edf\u6a21\u578b\u7684\u75db\u70b9\uff09<br>\u5728\u7535\u751f\u7406\u5b9e\u9a8c\u4e2d\uff0c\u8bb0\u5f55\u5230\u7684\u795e\u7ecf\u4fe1\u53f7\u662f\u79bb\u6563\u7684\u8109\u51b2\u3002\u5982\u679c\u5728\u5f88\u77ed\u7684\u65f6\u95f4\u7a97\u5185\u8ba1\u6570\uff0c\u6570\u636e\u8868\u73b0\u4e3a (0, 1, 2, 3 <math data-latex=\"\\dots\"><semantics><mo lspace=\"0em\" rspace=\"0em\">\u2026<\/mo><annotation encoding=\"application\/x-tex\">\\dots<\/annotation><\/semantics><\/math>) \u8fd9\u6837\u7684\u975e\u8d1f\u6574\u6570\uff08Count Data\uff09\u3002 [1, 2]<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u4f20\u7edf\u666e\u901a\u6700\u5c0f\u4e8c\u4e58\u7ebf\u6027\u56de\u5f52\uff08OLS\uff09\u7684\u7f3a\u9677\uff1a<br>o OLS \u5047\u8bbe\u6570\u636e\u662f\u8fde\u7eed\u7684\uff0c\u4e14\u8bef\u5dee\u5448\u6b63\u6001\uff08\u9ad8\u65af\uff09\u5206\u5e03\u3002<br>o \u7ebf\u6027\u6a21\u578b\u9884\u6d4b\u7684\u653e\u7535\u7387\u53ef\u80fd\u4f1a\u51fa\u73b0\u8d1f\u6570\uff0c\u8fd9\u5728\u795e\u7ecf\u751f\u7406\u5b66\u4e0a\u662f\u4e0d\u53ef\u80fd\u7684\u3002<br>o \u795e\u7ecf\u653e\u7535\u7684\u65b9\u5dee\u5f80\u5f80\u968f\u7740\u5e73\u5747\u653e\u7535\u7387\u7684\u589e\u52a0\u800c\u589e\u5927\uff08\u5373\u653e\u7535\u8d8a\u5feb\uff0c\u6ce2\u52a8\u8d8a\u5927\uff09\uff0c\u8fdd\u53cd\u4e86 OLS \u7684\u540c\u65b9\u5dee\u5047\u8bbe\u3002 [1, 2]<\/li>\n\n\n\n<li>\u6cca\u677e\u5206\u5e03\u7684\u5929\u7136\u5951\u5408\u6027\uff1a<br>o \u795e\u7ecf\u5143\u7684\u8109\u51b2\u53d1\u653e\u662f\u4e00\u4e2a\u5178\u578b\u7684\u968f\u673a\u70b9\u8fc7\u7a0b\uff08Point Process\uff09\u3002\u5728\u5fae\u5c0f\u7684\u65f6\u95f4\u95f4\u9694\u5185\uff0c\u795e\u7ecf\u5143\u662f\u5426\u653e\u7535\u6ee1\u8db3\u6cca\u677e\u8fc7\u7a0b\u7684\u7279\u5f81\u3002<br>o \u6cca\u677e\u56de\u5f52\u4e13\u95e8\u9488\u5bf9\u975e\u8d1f\u6574\u6570\u8bbe\u8ba1\uff0c\u5e76\u81ea\u5e26\u201c\u65b9\u5dee\u7b49\u4e8e\u5747\u503c\u201d\u7684\u7279\u6027\uff0c\u80fd\u591f\u5b8c\u7f8e\u8d34\u5408\u795e\u7ecf\u5143\u5355\u6b21\u8bd5\u9a8c\uff08Single-trial\uff09\u7684\u566a\u58f0\u7ed3\u6784\u3002 [1]<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e8c\u3001 \u6cca\u677e\u56de\u5f52\u6a21\u578b\u7684\u6570\u5b66\u6784\u5efa<br>\u5085\u5e86\u529f\u5728\u7814\u7a76\u8fd0\u52a8\u76ae\u5c42\u548c\u5c0f\u8111\u666e\u80af\u91ce\u7ec6\u80de\u65f6\uff0c\u5229\u7528\u6cca\u677e\u56de\u5f52\u5c06\u795e\u7ecf\u5143\u77ac\u95f4\u653e\u7535\u7387\uff08(\\lambda )\uff09\u4e0e\u8fd0\u52a8\u53c2\u6570\u8054\u7cfb\u8d77\u6765\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"487\" height=\"41\" src=\"https:\/\/wuyegallery.com\/wuyeblog\/wp-content\/uploads\/2026\/08\/Screenshot-2026-08-01-113527.png\" alt=\"\" class=\"wp-image-9425\" srcset=\"https:\/\/wuyegallery.com\/wuyeblog\/wp-content\/uploads\/2026\/08\/Screenshot-2026-08-01-113527.png 487w, https:\/\/wuyegallery.com\/wuyeblog\/wp-content\/uploads\/2026\/08\/Screenshot-2026-08-01-113527-300x25.png 300w\" sizes=\"auto, (max-width: 487px) 100vw, 487px\" \/><\/figure>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u6838\u5fc3\u6570\u5b66\u516c\u5f0f<br>\u6a21\u578b\u7684\u6807\u51c6\u5f62\u5f0f\u5982\u4e0b\uff1a<br><math data-latex=\"(\\ln (\\lambda )=\\beta {0}+\\beta {1}\\cdot \\text{Speed}+\\beta {2}\\cdot \\cos (\\theta -\\theta {\\text{pref}})+\\beta {3}\\cdot (\\text{Speed}\\cdot \\cos (\\theta -\\theta {\\text{pref}})))\"><semantics><mrow><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mrow><mi>ln<\/mi><mo>\u2061<\/mo><\/mrow><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mi>\u03bb<\/mi><mo form=\"postfix\" stretchy=\"false\">)<\/mo><mo>=<\/mo><mi>\u03b2<\/mi><mn>0<\/mn><mo>+<\/mo><mi>\u03b2<\/mi><mn>1<\/mn><mo>\u22c5<\/mo><mtext>Speed<\/mtext><mo>+<\/mo><mi>\u03b2<\/mi><mn>2<\/mn><mo>\u22c5<\/mo><mrow><mi>cos<\/mi><mo>\u2061<\/mo><\/mrow><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mi>\u03b8<\/mi><mo>\u2212<\/mo><mi>\u03b8<\/mi><mtext>pref<\/mtext><mo form=\"postfix\" stretchy=\"false\">)<\/mo><mo>+<\/mo><mi>\u03b2<\/mi><mn>3<\/mn><mo>\u22c5<\/mo><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mtext>Speed<\/mtext><mo>\u22c5<\/mo><mrow><mi>cos<\/mi><mo>\u2061<\/mo><\/mrow><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mi>\u03b8<\/mi><mo>\u2212<\/mo><mi>\u03b8<\/mi><mtext>pref<\/mtext><mo form=\"postfix\" stretchy=\"false\">)<\/mo><mo form=\"postfix\" stretchy=\"false\">)<\/mo><mo form=\"postfix\" stretchy=\"false\">)<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">(\\ln (\\lambda )=\\beta {0}+\\beta {1}\\cdot \\text{Speed}+\\beta {2}\\cdot \\cos (\\theta -\\theta {\\text{pref}})+\\beta {3}\\cdot (\\text{Speed}\\cdot \\cos (\\theta -\\theta {\\text{pref}})))<\/annotation><\/semantics><\/math><br>\u6216\u8005\u901a\u8fc7\u5bf9\u6570\u94fe\u63a5\u51fd\u6570\uff08Log Link Function\uff09\u91cd\u5199\u4e3a\u6307\u6570\u5f62\u5f0f\uff1a<br><math data-latex=\"(\\lambda =\\exp \\left(\\beta {0}+\\beta {1}\\cdot \\text{Speed}+\\beta {2}\\cdot \\cos (\\theta -\\theta {\\text{pref}})+\\beta {3}\\cdot (\\text{Speed}\\cdot \\cos (\\theta -\\theta {\\text{pref}}))\\right))\"><semantics><mrow><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mi>\u03bb<\/mi><mo>=<\/mo><mrow><mi>exp<\/mi><mo>\u2061<\/mo><\/mrow><mrow><mo fence=\"true\" form=\"prefix\">(<\/mo><mi>\u03b2<\/mi><mn>0<\/mn><mo>+<\/mo><mi>\u03b2<\/mi><mn>1<\/mn><mo>\u22c5<\/mo><mtext>Speed<\/mtext><mo>+<\/mo><mi>\u03b2<\/mi><mn>2<\/mn><mo>\u22c5<\/mo><mrow><mi>cos<\/mi><mo>\u2061<\/mo><\/mrow><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mi>\u03b8<\/mi><mo>\u2212<\/mo><mi>\u03b8<\/mi><mtext>pref<\/mtext><mo form=\"postfix\" stretchy=\"false\">)<\/mo><mo>+<\/mo><mi>\u03b2<\/mi><mn>3<\/mn><mo>\u22c5<\/mo><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mtext>Speed<\/mtext><mo>\u22c5<\/mo><mrow><mi>cos<\/mi><mo>\u2061<\/mo><\/mrow><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mi>\u03b8<\/mi><mo>\u2212<\/mo><mi>\u03b8<\/mi><mtext>pref<\/mtext><mo form=\"postfix\" stretchy=\"false\">)<\/mo><mo form=\"postfix\" stretchy=\"false\">)<\/mo><mo fence=\"true\" form=\"postfix\">)<\/mo><\/mrow><mo form=\"postfix\" stretchy=\"false\">)<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">(\\lambda =\\exp \\left(\\beta {0}+\\beta {1}\\cdot \\text{Speed}+\\beta {2}\\cdot \\cos (\\theta -\\theta {\\text{pref}})+\\beta {3}\\cdot (\\text{Speed}\\cdot \\cos (\\theta -\\theta {\\text{pref}}))\\right))<\/annotation><\/semantics><\/math><\/li>\n\n\n\n<li>\u516c\u5f0f\u4e2d\u7684\u53c2\u6570\u89e3\u6790<br>\u2022 (<math data-latex=\"\\lambda \"><semantics><mi>\u03bb<\/mi><annotation encoding=\"application\/x-tex\">\\lambda <\/annotation><\/semantics><\/math>)\uff08\u56e0\u53d8\u91cf\uff09\uff1a\u795e\u7ecf\u5143\u5728\u7279\u5b9a\u65f6\u95f4\u7a97\u5185\u7684\u9884\u671f\u653e\u7535\u7387\uff08Expected Firing Rate\uff09\u3002<br>\u2022 (Speed)\uff08\u81ea\u53d8\u91cf1\uff09\uff1a\u80a2\u4f53\u8fd0\u52a8\u7684\u65f6\u53d8\u901f\u5ea6\u3002<br>\u2022 <math data-latex=\"(\\theta \"><semantics><mrow><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mi>\u03b8<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">(\\theta<\/annotation><\/semantics><\/math> ) \u4e0e<math data-latex=\"\\theta \"><semantics><mi>\u03b8<\/mi><annotation encoding=\"application\/x-tex\">\\theta <\/annotation><\/semantics><\/math> <em>{pref})<\/em><em>\uff08\u81ea\u53d8\u91cf2\uff09\uff1a(<\/em><math data-latex=\"\\theta\"><semantics><mi>\u03b8<\/mi><annotation encoding=\"application\/x-tex\">\\theta<\/annotation><\/semantics><\/math><em> ) \u4e3a\u5f53\u524d\u80a2\u4f53\u8fd0\u52a8\u7684\u5b9e\u65f6\u65b9\u5411\uff1b(<\/em><math data-latex=\"\\theta \"><semantics><mi>\u03b8<\/mi><annotation encoding=\"application\/x-tex\">\\theta <\/annotation><\/semantics><\/math>{pref}) \u4e3a\u8be5\u795e\u7ecf\u5143\u6700\u504f\u597d\u7684\u8fd0\u52a8\u65b9\u5411\uff08Preferred Direction\uff09\u3002\u4e24\u8005\u76f8\u51cf\u7684\u4f59\u5f26\u503c\u53cd\u6620\u4e86\u65b9\u5411\u7684\u5339\u914d\u5ea6\u3002<br>\u2022 \u4ea4\u53c9\u4e58\u79ef\u9879\uff08Interaction Term\uff09\uff1a({Speed} <math data-latex=\"\\cdot \\cos\"><semantics><mrow><mo>\u22c5<\/mo><mrow><mi>cos<\/mi><mo>\u2061<\/mo><mspace width=\"0.1667em\"><\/mspace><\/mrow><\/mrow><annotation encoding=\"application\/x-tex\">\\cdot \\cos<\/annotation><\/semantics><\/math> &#8211; \\<math data-latex=\"(\\theta\"><semantics><mrow><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mi>\u03b8<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">(\\theta<\/annotation><\/semantics><\/math>{pref})\uff0c\u8fd9\u662f\u5085\u5e86\u529f\u8bba\u6587\u7684\u6838\u5fc3\u8d21\u732e\uff0c\u7528\u4e8e\u8bc4\u4f30\u901f\u5ea6\u548c\u65b9\u5411\u662f\u5426\u5728\u795e\u7ecf\u5143\u4f53\u5185\u53d1\u751f\u4e86\u975e\u7ebf\u6027\u7684\u4ea4\u4e92\u8c03\u5236\u3002<br>\u2022 (<math data-latex=\"\\beta\"><semantics><mi>\u03b2<\/mi><annotation encoding=\"application\/x-tex\">\\beta<\/annotation><\/semantics><\/math>0, <math data-latex=\"\\beta\"><semantics><mi>\u03b2<\/mi><annotation encoding=\"application\/x-tex\">\\beta<\/annotation><\/semantics><\/math>1, <math data-latex=\"\\beta\"><semantics><mi>\u03b2<\/mi><annotation encoding=\"application\/x-tex\">\\beta<\/annotation><\/semantics><\/math>2, <math data-latex=\"\\beta\"><semantics><mi>\u03b2<\/mi><annotation encoding=\"application\/x-tex\">\\beta<\/annotation><\/semantics><\/math>3)\uff08\u5f85\u4f30\u53c2\u6570\uff09\uff1a\u901a\u8fc7\u6700\u5927\u4f3c\u7136\u4f30\u8ba1\uff08Maximum Likelihood Estimation, MLE\uff09\u8ba1\u7b97\u51fa\u7684\u6743\u91cd\u3002 [1]<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e09\u3001 \u6a21\u578b\u662f\u5982\u4f55\u89e3\u6790\u548c\u201c\u89e3\u7801\u201d\u6570\u636e\u7684\uff1f<br>\u5085\u5e86\u529f\u901a\u8fc7\u5c06\u5927\u91cf\u7684\u5355\u6b21\u8ffd\u8e2a\u5b9e\u9a8c\u6570\u636e\u8f93\u5165\u8be5\u6a21\u578b\uff0c\u5b9e\u73b0\u4e86\u4ee5\u4e0b\u591a\u7ef4\u5ea6\u7684\u795e\u7ecf\u4fe1\u606f\u89e3\u6790\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u4ece\u566a\u58f0\u4e2d\u5265\u79bb\u5355\u6b21\u8bd5\u9a8c\uff08Single-trial\uff09\u7684\u771f\u5b9e\u4fe1\u53f7<br>\u7531\u4e8e\u8fd0\u52a8\u63a7\u5236\u662f\u5b9e\u65f6\u7684\uff0c\u4f20\u7edf\u7684\u201c\u591a\u8f6e\u8bd5\u9a8c\u53d6\u5e73\u5747\uff08PSTH\uff09\u201d\u65b9\u6cd5\u4f1a\u62b9\u6740\u5355\u6b21\u8fd0\u52a8\u4e2d\u7684\u52a8\u6001\u8bef\u5dee\u3002\u6cca\u677e\u56de\u5f52\u5141\u8bb8\u7814\u7a76\u8005\u5728\u6ca1\u6709\u5e73\u5747\u5316\u7684\u60c5\u51b5\u4e0b\uff0c\u76f4\u63a5\u8ba1\u7b97\u51fa\u5355\u6b21\u8fd0\u52a8\u4e2d\u67d0\u4e2a\u77ac\u95f4\u795e\u7ecf\u5143\u653e\u7535\u7684\u6982\u7387\u5bc6\u5ea6\u3002<\/li>\n\n\n\n<li>\u91cf\u5316\u4e0d\u540c\u8fd0\u52a8\u53c2\u6570\u7684\u201c\u8d21\u732e\u5ea6\u201d<br>\u901a\u8fc7\u5bf9\u62df\u5408\u51fa\u7684 (\\beta ) \u53c2\u6570\u8fdb\u884c\u7edf\u8ba1\u5b66\u663e\u8457\u6027\u68c0\u9a8c\uff08\u5982\u5e03\u62c9\u5fb7\u5229-\u6c83\u5c14\u5fb7\u68c0\u9a8c\uff09\uff1a<br>\u2022 \u5982\u679c (<math data-latex=\"\\beta\"><semantics><mi>\u03b2<\/mi><annotation encoding=\"application\/x-tex\">\\beta<\/annotation><\/semantics><\/math><em>{1}) \u663e\u8457\u800c (<\/em><math data-latex=\"\\beta\"><semantics><mi>\u03b2<\/mi><annotation encoding=\"application\/x-tex\">\\beta<\/annotation><\/semantics><\/math><em> <\/em>{2}) \u4e0d\u663e\u8457\uff0c\u8bf4\u660e\u8be5\u795e\u7ecf\u5143\u662f\u4e00\u4e2a\u7eaf\u7cb9\u7684\u201c\u901f\u5ea6\u4f20\u611f\u5668\u201d\u3002<br>\u2022 \u5982\u679c (<math data-latex=\"\\beta\"><semantics><mi>\u03b2<\/mi><annotation encoding=\"application\/x-tex\">\\beta<\/annotation><\/semantics><\/math> <em>{2}) \u663e\u8457\uff0c\u8bf4\u660e\u5b83\u662f\u4e00\u4e2a\u201c\u65b9\u5411\u7f16\u7801\u5668\u201d\u3002 \u2022 \u5982\u679c (<\/em><math data-latex=\"\\beta\"><semantics><mi>\u03b2<\/mi><annotation encoding=\"application\/x-tex\">\\beta<\/annotation><\/semantics><\/math><em> <\/em>{3})\uff08\u4ea4\u4e92\u9879\uff09\u663e\u8457\uff0c\u5219\u8bc1\u5b9e\u4e86\u5927\u8111\u5e76\u4e0d\u662f\u5b64\u7acb\u5904\u7406\u901f\u5ea6\u548c\u65b9\u5411\u7684\uff0c\u800c\u662f\u901a\u8fc7\u975e\u7ebf\u6027\u8054\u5408\u7f16\u7801\uff08Joint Representation\uff09\u6765\u89c4\u5212\u590d\u6742\u7684\u8fd0\u52a8\u8f68\u8ff9\u3002<\/li>\n\n\n\n<li>\u786e\u8bc1\u4e86\u590d\u5408\u5c16\u5cf0\uff08Complex Spikes\uff09\u7684\u529f\u80fd<br>\u5728\u5173\u4e8e\u5c0f\u8111\u7684\u8bba\u6587\u4e2d\uff0c\u5085\u5e86\u529f\u7528\u8be5\u6a21\u578b\u5bf9\u666e\u80af\u91ce\u7ec6\u80de\u7684\u590d\u5408\u5c16\u5cf0\u8fdb\u884c\u62df\u5408\u3002\u7531\u4e8e\u590d\u5408\u5c16\u5cf0\u53d1\u653e\u7387\u6781\u4f4e\uff08\u7ea6 1 Hz\uff09\uff0c\u4f20\u7edf\u7ebf\u6027\u65b9\u6cd5\u6839\u672c\u65e0\u6cd5\u5206\u6790\u3002\u6cca\u677e\u56de\u5f52\u6210\u529f\u8bc1\u660e\u4e86\u5373\u4f7f\u5728\u5982\u6b64\u4f4e\u7684\u653e\u7535\u9891\u6b21\u4e0b\uff0c\u590d\u5408\u5c16\u5cf0\u7684\u653e\u7535\u6982\u7387\u4f9d\u7136\u4e25\u683c\u53d7\u8fd0\u52a8\u901f\u5ea6\u548c\u65b9\u5411\u7684\u6307\u6570\u8c03\u5236\uff0c\u4ece\u800c\u6253\u7834\u4e86\u4f20\u7edf\u201c\u590d\u5408\u5c16\u5cf0\u53ea\u62a5\u544a\u8fd0\u52a8\u8bef\u5dee\u201d\u7684\u56fa\u6709\u89c2\u5ff5\u3002 [1]<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u56db\u3001 \u603b\u7ed3\uff1a\u5bf9\u73b0\u4ee3\u8111\u673a\u63a5\u53e3\uff08BCI\uff09\u7684\u542f\u793a<br>\u5085\u5e86\u529f\u5e94\u7528\u7684\u6cca\u677e\u56de\u5f52\u6a21\u578b\uff0c\u6210\u4e3a\u4e86\u540e\u6765\u73b0\u4ee3\u8fd0\u52a8\u89e3\u7801\u7b97\u6cd5\u7684\u7406\u8bba\u57fa\u77f3\u3002\u5728\u76ee\u524d\u7684\u8111\u673a\u63a5\u53e3\uff08BCI\uff09\u548c\u8ba1\u7b97\u795e\u7ecf\u79d1\u5b66\u4e2d\uff1a<br>\u2022 \u6b63\u5411\u7f16\u7801\uff1a\u4f7f\u7528\u5085\u5e86\u529f\u5f0f\u7684\u6cca\u677e\u5e7f\u4e49\u7ebf\u6027\u6a21\u578b\uff08GLM\uff09\u6765\u9884\u6d4b\u795e\u7ecf\u5143\u5728\u8f93\u5165\u67d0\u79cd\u8fd0\u52a8\u610f\u56fe\u65f6\u7684\u653e\u7535\u6982\u7387\u3002<br>\u2022 \u53cd\u5411\u89e3\u7801\uff08\u771f\u6b63\u610f\u4e49\u4e0a\u7684\u89e3\u7801\uff09\uff1a\u57fa\u4e8e\u8be5\u6cca\u677e\u6982\u7387\u6a21\u578b\uff0c\u5229\u7528\u8d1d\u53f6\u65af\u5b9a\u7406\uff08Bayesian Decoding\uff09\u6216\u5361\u5c14\u66fc\u6ee4\u6ce2\uff08Kalman Filter\uff09\u3002\u5f53 BCI \u7cfb\u7edf\u5b9e\u65f6\u89c2\u6d4b\u5230\u4e00\u4e32\u795e\u7ecf\u8109\u51b2\uff08Spike train\uff09\u65f6\uff0c\u7b97\u6cd5\u4f1a\u53cd\u5411\u5bfb\u627e\u54ea\u4e00\u4e2a\u8fd0\u52a8\u901f\u5ea6\u548c\u65b9\u5411\uff08{Speed},<math data-latex=\" \\theta\"><semantics><mi>\u03b8<\/mi><annotation encoding=\"application\/x-tex\"> \\theta<\/annotation><\/semantics><\/math>\uff09\u80fd\u591f\u4f7f\u8fd9\u4e2a\u6cca\u677e\u5206\u5e03\u7684\u4f3c\u7136\u51fd\u6570\u8fbe\u5230\u6700\u5927\u503c\uff0c\u4ece\u800c\u7cbe\u786e\u63a7\u5236\u5916\u90e8\u7684\u673a\u68b0\u81c2\u6216\u8f6e\u6905\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\uff08\u4e09\uff09\u4ed6\u7684\u53d1\u73b0\u4e0e\u73b0\u4ee3\u8111\u673a\u63a5\u53e3\uff08BCI\uff09\u8fd0\u52a8\u89e3\u7801\u7b97\u6cd5\u7684\u5177\u4f53\u8054\u7cfb<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">\u5085\u5e86\u529f\uff08Qinggong Fu\uff09\u5728 20 \u4e16\u7eaa 90 \u5e74\u4ee3\u4e2d\u540e\u671f\u5173\u4e8e\u8fd0\u52a8\u76ae\u5c42\u548c\u5c0f\u8111\u5bf9\u201c\u901f\u5ea6\u4e0e\u65b9\u5411\u975e\u7ebf\u6027\u8054\u5408\u7f16\u7801\u201d\u7684\u7814\u7a76\uff0c\u4e0e\u73b0\u4ee3\u8fd0\u52a8\u8111\u673a\u63a5\u53e3\uff08Motor BCI\uff09\u7684\u89e3\u7801\u7b97\u6cd5\u6709\u7740\u6781\u5176\u7d27\u5bc6\u7684\u8840\u7f18\u5173\u7cfb\u3002<br>\u5728\u8111\u673a\u63a5\u53e3\u4e2d\uff0c\u201c\u89e3\u7801\u201d\u662f\u6307\u5c06\u673a\u68b0\u81c2\u6216\u5c4f\u5e55\u5149\u6807\u7684\u7269\u7406\u8fd0\u52a8\u53c2\u6570\uff08\u5982\u4f4d\u7f6e\u3001\u901f\u5ea6\u3001\u52a0\u901f\u5ea6\uff09\uff0c\u4ece\u91c7\u96c6\u5230\u7684\u6210\u767e\u4e0a\u5343\u4e2a\u795e\u7ecf\u5143\u7684\u8109\u51b2\u53d1\u653e\uff08Spike trains\uff09\u4e2d\u5b9e\u65f6\u8ba1\u7b97\u8fd8\u539f\u51fa\u6765\u3002\u5085\u5e86\u529f\u7684\u53d1\u73b0\u4ece\u6839\u672c\u4e0a\u6539\u53d8\u4e86\u79d1\u5b66\u5bb6\u5bf9\u201c\u5927\u8111\u5982\u4f55\u4ea7\u751f\u8fd0\u52a8\u4fe1\u53f7\u201d\u7684\u8ba4\u77e5\uff0c\u76f4\u63a5\u51b3\u5b9a\u4e86\u73b0\u4ee3 BCI \u89e3\u7801\u5668\u7684\u6570\u5b66\u67b6\u6784\u3002<br>\u5177\u4f53\u8054\u7cfb\u4e3b\u8981\u4f53\u73b0\u5728\u4ee5\u4e0b\u56db\u4e2a\u6838\u5fc3\u7ef4\u5ea6\uff1a<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e00\u3001 \u5960\u5b9a\u4e86\u73b0\u4ee3 BCI\u201c\u5e7f\u4e49\u7ebf\u6027\u6a21\u578b\uff08GLM\uff09\u201d\u89e3\u7801\u5668\u7684\u6570\u5b66\u5185\u6838<br>\u73b0\u4ee3 BCI \u89e3\u7801\u7b97\u6cd5\uff08\u5982\u57fa\u4e8e\u8d1d\u53f6\u65af\u6ee4\u6ce2\u3001\u5361\u5c14\u66fc\u6ee4\u6ce2\u7684\u89e3\u7801\u5668\uff09\u5728\u5de5\u4f5c\u524d\uff0c\u5fc5\u987b\u5148\u5efa\u7acb\u4e00\u4e2a\u201c\u795e\u7ecf\u7f16\u7801\u6a21\u578b\uff08Encoding Model\uff09\u201d\uff0c\u5373\u641e\u6e05\u695a\u201c\u8fd0\u52a8\u53c2\u6570\u662f\u5982\u4f55\u6539\u53d8\u795e\u7ecf\u5143\u653e\u7535\u7387\u7684\u201d\u3002<br>\u2022 \u5085\u5e86\u529f\u7684\u8d21\u732e\uff1a\u4ed6\u901a\u8fc7\u6cca\u677e\u56de\u5f52\u8bc1\u660e\uff0c\u795e\u7ecf\u5143\u7684\u9884\u671f\u653e\u7535\u7387\uff08\u03bb\uff09\u662f\u901f\u5ea6\u3001\u65b9\u5411\u9009\u62e9\u6027\uff08\u4f59\u5f26\u51fd\u6570\uff09\u4ee5\u53ca\u4e8c\u8005\u4ea4\u53c9\u76f8\u4e58\u9879\uff08Interaction Term\uff09\u7684\u4e58\u6027\uff08\u6307\u6570\uff09\u7ec4\u5408\uff0c\u5373\uff1a<br><math data-latex=\"(\\lambda =\\exp (\\beta {0}+\\beta {1}\\cdot \\text{Speed}+\\beta {2}\\cdot \\cos (\\theta -\\theta {\\text{pref}})+\\beta {3}\\cdot (\\text{Speed}\\cdot \\cos (\\theta -\\theta {\\text{pref}}))))\"><semantics><mrow><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mi>\u03bb<\/mi><mo>=<\/mo><mrow><mi>exp<\/mi><mo>\u2061<\/mo><\/mrow><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mi>\u03b2<\/mi><mn>0<\/mn><mo>+<\/mo><mi>\u03b2<\/mi><mn>1<\/mn><mo>\u22c5<\/mo><mtext>Speed<\/mtext><mo>+<\/mo><mi>\u03b2<\/mi><mn>2<\/mn><mo>\u22c5<\/mo><mrow><mi>cos<\/mi><mo>\u2061<\/mo><\/mrow><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mi>\u03b8<\/mi><mo>\u2212<\/mo><mi>\u03b8<\/mi><mtext>pref<\/mtext><mo form=\"postfix\" stretchy=\"false\">)<\/mo><mo>+<\/mo><mi>\u03b2<\/mi><mn>3<\/mn><mo>\u22c5<\/mo><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mtext>Speed<\/mtext><mo>\u22c5<\/mo><mrow><mi>cos<\/mi><mo>\u2061<\/mo><\/mrow><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mi>\u03b8<\/mi><mo>\u2212<\/mo><mi>\u03b8<\/mi><mtext>pref<\/mtext><mo form=\"postfix\" stretchy=\"false\">)<\/mo><mo form=\"postfix\" stretchy=\"false\">)<\/mo><mo form=\"postfix\" stretchy=\"false\">)<\/mo><mo form=\"postfix\" stretchy=\"false\">)<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">(\\lambda =\\exp (\\beta {0}+\\beta {1}\\cdot \\text{Speed}+\\beta {2}\\cdot \\cos (\\theta -\\theta {\\text{pref}})+\\beta {3}\\cdot (\\text{Speed}\\cdot \\cos (\\theta -\\theta {\\text{pref}}))))<\/annotation><\/semantics><\/math><br>\u2022 \u4e0e\u73b0\u4ee3 BCI \u7684\u8054\u7cfb\uff1a\u8fd9\u4e00\u53d1\u73b0\u76f4\u63a5\u6f14\u53d8\u4e3a\u73b0\u4ee3 BCI \u4e2d\u6700\u5e38\u7528\u7684 GLM\uff08Generalized Linear Model\uff09\u7f16\u7801\u5668\u3002\u73b0\u4ee3\u9ad8\u6027\u80fd BCI\uff08\u5982 Neuralink\u3001BrainGate \u7b49\u7cfb\u7edf\uff09\u5728\u8bad\u7ec3\u89e3\u7801\u5668\u65f6\uff0c\u5176\u5e95\u5c42\u516c\u5f0f\u51e0\u4e4e\u5b8c\u5168\u6cbf\u7528\u4e86\u8fd9\u79cd\u201c\u901f\u5ea6 \u00d7 \u65b9\u5411\u201d\u7684\u975e\u7ebf\u6027\u4ea4\u4e92\u67b6\u6784\u3002\u5982\u679c\u5ffd\u7565\u8fd9\u79cd\u901f\u5ea6\u5bf9\u65b9\u5411\u8c03\u5236\u7684\u975e\u7ebf\u6027\u4e58\u6027\u5173\u7cfb\uff08\u8bef\u4ee5\u4e3a\u4e8c\u8005\u662f\u7b80\u5355\u76f8\u52a0\uff09\uff0cBCI \u89e3\u7801\u51fa\u6765\u7684\u8f68\u8ff9\u5c31\u4f1a\u51fa\u73b0\u4e25\u91cd\u7684\u6296\u52a8\u548c\u504f\u5dee\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e8c\u3001 \u5b9e\u73b0\u4e86\u4ece\u201c\u9759\u6001\u65b9\u5411\u201d\u5230\u201c\u52a8\u6001\u65f6\u53d8\u901f\u5ea6\uff08Trajectory\uff09\u201d\u7684\u89e3\u7801\u8de8\u8d8a<br>\u5728\u5085\u5e86\u529f\u7684\u7814\u7a76\u4e4b\u524d\uff0c\u5b66\u672f\u754c\u5e7f\u4e3a\u6d41\u4f20\u7684\u662f Georgopoulos \u63d0\u51fa\u7684\u7fa4\u4f53\u77e2\u91cf\u7406\u8bba\uff08Population Vector, PV\uff09\u3002PV \u7406\u8bba\u4e3b\u8981\u5173\u6ce8\u9759\u6001\u7684\u3001\u79bb\u6563\u7684\u201c\u76ee\u6807\u65b9\u5411\u201d\uff08Reaching Direction\uff09\uff0c\u5373\u7334\u5b50\u6307\u54ea\uff0c\u54ea\u4e2a\u65b9\u5411\u7684\u795e\u7ecf\u5143\u5c31\u653e\u7535\u3002<br>\u2022 \u5085\u5e86\u529f\u7684\u53d1\u73b0\uff1a\u4ed6\u7684\u5b9e\u9a8c\u8bc1\u5b9e\uff0c\u521d\u7ea7\u8fd0\u52a8\u76ae\u5c42\u795e\u7ecf\u5143\u7f16\u7801\u7684\u662f\u65f6\u53d8\u901f\u5ea6\uff08Time-varying speed\uff09\u548c\u77ac\u65f6\u8f68\u8ff9\uff08Trajectory\uff09\u3002\u653e\u7535\u9891\u7387\u4f1a\u968f\u7740\u624b\u81c2\u79fb\u52a8\u901f\u5ea6\u7684\u52a0\u5feb\u6216\u53d8\u6162\u800c\u5b9e\u65f6\u3001\u8fde\u7eed\u5730\u7ebf\u6027\u6216\u6307\u6570\u81a8\u80c0\u3002<br>\u2022 \u4e0e\u73b0\u4ee3 BCI \u7684\u8054\u7cfb\uff1a\u8fd9\u4e00\u53d1\u73b0\u63a8\u52a8\u4e86 BCI \u4ece\u201c\u79bb\u6563\u63a7\u5236\u201d\u5411\u201c\u8fde\u7eed\u8f68\u8ff9\u63a7\u5236\u201d\u7684\u8fdb\u5316\u3002<br>o \u65e9\u671f BCI\uff1a\u53ea\u80fd\u89e3\u7801\u51fa\u7528\u6237\u60f3\u5f80\u201c\u4e0a\u3001\u4e0b\u3001\u5de6\u3001\u53f3\u201d\u54ea\u4e2a\u65b9\u5411\u79fb\u52a8\uff08\u7c7b\u4f3c\u952e\u76d8\u6309\u952e\uff09\u3002<br>o \u73b0\u4ee3 BCI\uff08\u5982\u9ad8\u7cbe\u5ea6\u76ae\u5c42\u8111\u63a7\u673a\u68b0\u81c2\uff09\uff1a\u5229\u7528\u5085\u5e86\u529f\u7684\u901f\u5ea6\u7f16\u7801\u89c4\u5f8b\uff0c\u80fd\u591f\u4ee5\u6beb\u79d2\u7ea7\u7684\u7cbe\u5ea6\u5b9e\u65f6\u89e3\u7801\u51fa\u673a\u68b0\u81c2\u5728\u4e09\u7ef4\u7a7a\u95f4\u4e2d\u7684\u4e09\u8f74\u901f\u5ea6\u77e2\u91cf\uff08(V_x, V_y, V_z)\uff09\uff0c\u4ece\u800c\u5b9e\u73b0\u50cf\u771f\u5b9e\u624b\u81c2\u4e00\u6837\u5e73\u6ed1\u3001\u7ec6\u817b\u3001\u6709\u51cf\u901f\u7f13\u51b2\u7684\u6293\u53d6\u52a8\u4f5c\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e09\u3001 \u4e3a\u57fa\u4e8e\u201c\u5361\u5c14\u66fc\u6ee4\u6ce2\uff08Kalman Filter\uff09\u201d\u7684\u5b9e\u65f6\u89e3\u7801\u63d0\u4f9b\u4e86\u72b6\u6001\u8f6c\u79fb\u57fa\u7840<br>\u5728\u5b9e\u65f6\u95ed\u73af BCI \u7cfb\u7edf\u4e2d\uff0c\u5361\u5c14\u66fc\u6ee4\u6ce2\uff08Kalman Filter\uff09\u662f\u5de5\u4e1a\u754c\u548c\u4e34\u5e8a\u5e94\u7528\u4e2d\u6700\u7ecf\u5178\u7684\u89e3\u7801\u7b97\u6cd5\u4e4b\u4e00\u3002<br>\u2022 \u5361\u5c14\u66fc\u6ee4\u6ce2\u7684\u53cc\u5c42\u67b6\u6784\uff1a\u5b83\u5305\u542b\u4e00\u4e2a\u201c\u72b6\u6001\u8f6c\u79fb\u65b9\u7a0b\u201d\uff08\u9884\u6d4b\u624b\u4e0b\u4e00\u6b65\u5728\u54ea\u91cc\uff09\u548c\u4e00\u4e2a\u201c\u89c2\u6d4b\u65b9\u7a0b\u201d\uff08\u6839\u636e\u5f53\u524d\u795e\u7ecf\u5143\u653e\u7535\u4fee\u6b63\u9884\u6d4b\uff09\u3002<br>\u2022 \u5085\u5e86\u529f\u53d1\u73b0\u7684\u6865\u6881\u4f5c\u7528\uff1a\u5361\u5c14\u66fc\u6ee4\u6ce2\u7684\u201c\u89c2\u6d4b\u65b9\u7a0b\u201d\u9700\u8981\u663e\u5f0f\u5730\u5b9a\u4e49\u795e\u7ecf\u653e\u7535\u4e0e\u624b\u90e8\u901f\u5ea6\u3001\u4f4d\u7f6e\u7684\u6620\u5c04\u77e9\u9635\u3002\u5085\u5e86\u529f\u5173\u4e8e\u201c\u76ae\u5c42\u795e\u7ecf\u5143\u653e\u7535\u4e0e\u5916\u5468\u808c\u8089\u5b9e\u9645 EMG \u6d3b\u52a8\u5b58\u5728\u672c\u8d28\u5dee\u5f02\uff0c\u76ae\u5c42\u66f4\u504f\u5411\u7f16\u7801\u9ad8\u7ea7\u7684\u8fd0\u52a8\u5b66\uff08Kinematics\uff0c\u5982\u901f\u5ea6\u77e2\u91cf\uff09\u800c\u975e\u52a8\u529b\u5b66\uff08Dynamics\uff0c\u5982\u808c\u8089\u529b\u91cf\uff09\u201d\u7684\u7ed3\u8bba\uff0c\u76f4\u63a5\u4e3a\u5361\u5c14\u66fc\u6ee4\u6ce2\u89c2\u6d4b\u77e9\u9635\u7684\u53c2\u6570\u9009\u62e9\u63d0\u4f9b\u4e86\u751f\u7406\u5b66\u4f9d\u636e\u3002\u8fd9\u4f7f\u5f97 BCI \u5de5\u7a0b\u5e08\u53ef\u4ee5\u76f4\u63a5\u5c06\u7a7a\u95f4\u4e09\u7ef4\u901f\u5ea6\uff08\u800c\u4e0d\u662f\u808c\u8089\u7535\u6d41\u4fe1\u53f7\uff09\u4f5c\u4e3a\u6838\u5fc3\u72b6\u6001\u91cf\u8fdb\u884c\u6ee4\u6ce2\u548c\u89e3\u7801\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u56db\u3001 \u542f\u8fea\u4e86\u73b0\u4ee3\u591a\u533a\u57df\uff08\u8fd0\u52a8\u76ae\u5c42 + \u5c0f\u8111\uff09\u95ed\u73af BCI \u786c\u4ef6\u67b6\u6784<br>\u5085\u5e86\u529f\u4e0d\u4ec5\u7814\u7a76\u4e86\u5927\u8111\u76ae\u5c42\uff0c\u8fd8\u82b1\u8d39\u5927\u91cf\u7cbe\u529b\u7814\u7a76\u4e86\u5c0f\u8111\u666e\u80af\u91ce\u7ec6\u80de\u7684\u590d\u5408\u5c16\u5cf0\uff08Complex Spikes\uff09\u548c\u7b80\u5355\u5c16\u5cf0\uff08Simple Spikes\uff09\u3002\u4ed6\u8bc1\u660e\u4e86\u5c0f\u8111\u80fd\u591f\u5b9e\u65f6\u9884\u6d4b\u8fd0\u52a8\u8f68\u8ff9\u5e76\u5bf9\u901f\u5ea6\u8fdb\u884c\u6781\u5176\u7cbe\u7ec6\u7684\u5fae\u8c03\u3002<br>\u2022 \u4e0e\u73b0\u4ee3 BCI \u7684\u8054\u7cfb\uff1a<br>o \u4f20\u7edf BCI \u7684\u75db\u70b9\uff1a\u53ea\u4ece\u521d\u7ea7\u8fd0\u52a8\u76ae\u5c42\uff08M1\uff09\u91c7\u96c6\u4fe1\u53f7\u3002\u8fd9\u79cd BCI \u5f80\u5f80\u63a7\u5236\u8d77\u6765\u201c\u76f4\u6765\u76f4\u53bb\u201d\uff0c\u7f3a\u4e4f\u4eba\u7c7b\u624b\u81c2\u7279\u6709\u7684\u67d4\u987a\u6027\uff0c\u4e14\u5bb9\u6613\u5728\u63a5\u8fd1\u76ee\u6807\u65f6\u53d1\u751f\u201c\u8fc7\u5ea6\u51b2\u523a\u201d\u548c\u201c\u9707\u98a4\u201d\uff08\u7c7b\u4f3c\u5c0f\u8111\u635f\u4f24\u60a3\u8005\u7684\u5171\u6d4e\u5931\u8c03\u8868\u73b0\uff09\u3002<br>o \u73b0\u4ee3\u524d\u6cbf BCI \u7684\u6f14\u8fdb\uff1a\u8fd1\u5e74\u6765\uff0c\u968f\u7740\u5fae\u7535\u5b50\u9635\u5217\u7684\u53d1\u5c55\uff0c\u79d1\u5b66\u5bb6\u5f00\u59cb\u5c1d\u8bd5\u591a\u8111\u533a\u8054\u5408\u89e3\u7801\uff08Multi-region BCI\uff09\u3002\u5085\u5e86\u529f\u5173\u4e8e\u5c0f\u8111\u5982\u4f55\u7f16\u7801\u8fd0\u52a8\u901f\u5ea6\u4e0e\u65b9\u5411\u4e92\u8865\u89c4\u5f8b\u7684\u7814\u7a76\uff0c\u542f\u53d1\u4e86\u65b0\u4e00\u4ee3 BCI \u7b97\u6cd5\u2014\u2014\u901a\u8fc7\u5f15\u5165\u5c0f\u8111\u524d\u5411\u6a21\u578b\uff08Forward Model\uff09\u7684\u8ba1\u7b97\u903b\u8f91\uff0c\u6216\u8005\u76f4\u63a5\u91c7\u96c6\u5c0f\u8111\u6df1\u90e8\u6838\u56e2\u7684\u4fe1\u53f7\uff0c\u6765\u4f5c\u4e3a\u8fd0\u52a8\u76ae\u5c42\u89e3\u7801\u5668\u7684\u201c\u5239\u8f66\u201d\u548c\u201c\u7cbe\u7ec6\u5fae\u8c03\u5668\u201d\uff0c\u4ece\u800c\u8ba9\u8111\u63a7\u673a\u68b0\u81c2\u80fd\u591f\u5b8c\u6210\u201c\u7a7f\u9488\u5f15\u7ebf\u201d\u6216\u201c\u7aef\u8d77\u6ee1\u6c34\u6c34\u676f\u201d\u7b49\u9ad8\u96be\u5ea6\u5fae\u64cd\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u603b\u7ed3<br>\u5982\u679c\u628a\u73b0\u4ee3\u8111\u673a\u63a5\u53e3\u6bd4\u4f5c\u4e00\u8f86\u80fd\u591f\u81ea\u52a8\u884c\u9a76\u7684\u201c\u8111\u63a7\u8d5b\u8f66\u201d\uff0c\u90a3\u4e48\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u4f20\u7edf\u7684\u7fa4\u4f53\u77e2\u91cf\u7406\u8bba\uff08PV\uff09\u544a\u8bc9\u4e86\u7b97\u6cd5\u201c\u65b9\u5411\u76d8\u5e94\u8be5\u5f80\u54ea\u6253\u201d\uff1b<\/li>\n\n\n\n<li>\u5085\u5e86\u529f\u7684\u53d1\u73b0\u5219\u4e3a\u7b97\u6cd5\u5b89\u88c5\u4e86\u201c\u6cb9\u95e8\u548c\u5239\u8f66\u201d\uff08\u65f6\u53d8\u901f\u5ea6\u7f16\u7801\uff09\uff0c\u5e76\u5199\u51fa\u4e86\u201c\u65b9\u5411\u76d8\u8f6c\u89d2\u4e0e\u6cb9\u95e8\u5927\u5c0f\u5982\u4f55\u4e92\u76f8\u5f71\u54cd\u201d\u7684\u6570\u5b66\u516c\u5f0f\uff08\u975e\u7ebf\u6027\u8054\u5408\u7f16\u7801\uff09\u3002<br>\u6ca1\u6709\u4ed6\u5bf9\u901f\u5ea6\u7f16\u7801\u673a\u5236\u7684\u7cbe\u786e\u5b9a\u91cf\u5206\u6790\uff0c\u73b0\u4ee3 BCI \u5c31\u5f88\u96be\u5b9e\u73b0\u9ad8\u6d41\u7545\u5ea6\u3001\u9ad8\u81ea\u7136\u5ea6\u7684\u4e09\u7ef4\u7a7a\u95f4\u8fde\u7eed\u8f68\u8ff9\u63a7\u5236\u3002<br><\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\">\uff08\u56db\uff09\u6df1\u5165\u62c6\u89e3\u7b80\u5355\u5c16\u5cf0\u4e0e\u590d\u5408\u5c16\u5cf0\u5728\u8fd0\u52a8\u5b66\u4e60\u4e2d\u7684\u4e0d\u540c\u5206\u5de5<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">\u5728\u5c0f\u8111\u7684\u795e\u7ecf\u751f\u7406\u5b66\u4e2d\uff0c<strong>\u666e\u80af\u91ce\u7ec6\u80de\uff08Purkinje Cell, PC\uff09<\/strong> \u662f\u5c0f\u8111\u76ae\u5c42\u552f\u4e00\u7684\u4fe1\u53f7\u8f93\u51fa\u901a\u9053 [1]\u3002\u5085\u5e86\u529f\uff08Qinggong Fu\uff09\u7b49\u79d1\u5b66\u5bb6\u7684\u7814\u7a76\u6df1\u523b\u63ed\u793a\u4e86\uff0c\u5355\u4e2a\u666e\u80af\u91ce\u7ec6\u80de\u80fd\u540c\u65f6\u4ea7\u751f\u4e24\u79cd\u622a\u7136\u4e0d\u540c\u7684\u7535\u4fe1\u53f7\uff1a<strong>\u7b80\u5355\u5c16\u5cf0\uff08Simple Spike, SS\uff09<\/strong> \u548c <strong>\u590d\u5408\u5c16\u5cf0\uff08Complex Spike, CS\uff09<\/strong>\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u5728\u8fd0\u52a8\u5b66\u4e60\uff08Motor Learning\uff09\u548c\u5b9e\u65f6\u8fd0\u52a8\u63a7\u5236\u4e2d\uff0c\u8fd9\u4e24\u79cd\u5c16\u5cf0\u6784\u6210\u4e86\u5927\u8111\u4e2d\u5b8c\u7f8e\u7684<strong>\u201c\u6267\u884c\u8005\u201d\u4e0e\u201c\u6559\u7ec3\u5458\u201d<\/strong>\u5206\u5de5\u4f53\u7cfb\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e00\u3001 \u7b80\u5355\u5c16\u5cf0\u4e0e\u590d\u5408\u5c16\u5cf0\u7684\u751f\u7406\u7279\u6027\u5bf9\u6bd4<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e3a\u4e86\u76f4\u89c2\u7406\u89e3\u5b83\u4eec\u7684\u5206\u5de5\uff0c\u9996\u5148\u9700\u8981\u5bf9\u6bd4\u5b83\u4eec\u5728\u7535\u751f\u7406\u7279\u5f81\u4e0a\u7684\u672c\u8d28\u533a\u522b\uff1a<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><th>\u7279\u6027\u7ef4\u5ea6<\/th><th>\u7b80\u5355\u5c16\u5cf0 (Simple Spike, SS)<\/th><th>\u590d\u5408\u5c16\u5cf0 (Complex Spike, CS)<\/th><\/tr><tr><td><strong>\u7a81\u89e6\u6765\u6e90<\/strong><\/td><td>\u9897\u7c92\u7ec6\u80de\u7684<strong>\u5e73\u884c\u7ea4\u7ef4 (Parallel Fiber)<\/strong> [1]<\/td><td>\u4e0b\u6a44\u6984\u6838\u7684<strong>\u6500\u7f18\u7ea4\u7ef4 (Climbing Fiber)<\/strong> [1]<\/td><\/tr><tr><td><strong>\u653e\u7535\u9891\u7387<\/strong><\/td><td><strong>\u6781\u9ad8<\/strong>\uff0850 &#8211; 150 Hz\uff09\uff0c\u6301\u7eed\u9ad8\u9891\u53d1\u653e<\/td><td><strong>\u6781\u4f4e<\/strong>\uff081 &#8211; 2 Hz\uff09\uff0c\u5076\u5c14\u96f6\u661f\u53d1\u653e<\/td><\/tr><tr><td><strong>\u6ce2\u5f62\u7279\u5f81<\/strong><\/td><td>\u5355\u4e2a\u7ecf\u5178\u7684\u52a8\u4f5c\u7535\u4f4d\uff08\u5168\u6216\u65e0\uff09<\/td><td>\u4e00\u4e2a\u5927\u6ce2\u5e45\u7684\u4e3b\u5cf0\u4f34\u968f\u4e00\u4e32\u9ad8\u9891\u5c0f\u6ce2\u52a8<\/td><\/tr><tr><td><strong>\u529f\u80fd\u89d2\u8272<\/strong><\/td><td>\u5b9e\u65f6\u8fd0\u52a8\u53c2\u6570\u7684<strong>\u201c\u6267\u884c\u4e0e\u7f16\u7801\u5668\u201d<\/strong><\/td><td>\u8fd0\u52a8\u8bef\u5dee\u4e0e\u5b66\u4e60\u7684<strong>\u201c\u6559\u7ec3\u4e0e\u6559\u5b66\u4fe1\u53f7\u201d<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e8c\u3001 \u8fd0\u52a8\u5b66\u4e60\u4e2d\u7684\u5177\u4f53\u5206\u5de5\u673a\u5236<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u5728\u8fd0\u52a8\u5b66\u4e60\uff08\u4f8b\u5982\uff1a\u7b2c\u4e00\u6b21\u7ec3\u4e60\u6253\u7f51\u7403\u6216\u63a7\u5236\u8111\u673a\u63a5\u53e3\u673a\u68b0\u81c2\uff09\u8fc7\u7a0b\u4e2d\uff0cSS \u548c CS \u901a\u8fc7<strong>\u201c\u5b9e\u65f6\u63a7\u5236 \u2192 \u8bef\u5dee\u53cd\u9988 \u2192 \u8bb0\u5fc6\u7a81\u89e6\u4fee\u6b63 \u2192 \u52a8\u4f5c\u4f18\u5316\u201d<\/strong>\u7684\u95ed\u73af\u534f\u540c\u5de5\u4f5c\uff1a<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">1. \u7b80\u5355\u5c16\u5cf0 (SS)\uff1a\u5b9e\u65f6\u8fd0\u52a8\u63a7\u5236\u7684\u201c\u6267\u884c\u8005\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u7b80\u5355\u5c16\u5cf0\u7531\u4e8e\u5176\u8d85\u9ad8\u7684\u653e\u7535\u9891\u7387\uff0c\u80fd\u591f\u50cf\u201c\u6d41\u5a92\u4f53\u201d\u4e00\u6837\u5b9e\u65f6\u3001\u8fde\u7eed\u5730\u4f20\u8f93\u9ad8\u5bc6\u5ea6\u4fe1\u606f\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u8fd0\u52a8\u5b66\u53c2\u6570\u7f16\u7801<\/strong>\uff1a\u6b63\u5982\u5085\u5e86\u529f\u7814\u7a76\u6240\u8bc1\u5b9e\u7684\uff0cSS \u8d1f\u8d23\u5b9e\u65f6\u7f16\u7801\u80a2\u4f53\u8fd0\u52a8\u7684<strong>\u901f\u5ea6\u3001\u65b9\u5411\u548c\u77ac\u65f6\u4f4d\u7f6e<\/strong>\u3002<\/li>\n\n\n\n<li><strong>\u524d\u5411\u6a21\u578b\uff08Forward Model\uff09\u9884\u6d4b<\/strong>\uff1a\u5728\u8fd0\u52a8\u65f6\uff0cSS \u7684\u653e\u7535\u5b9e\u9645\u4e0a\u662f\u5728\u6a21\u62df\u808c\u8089\u548c\u80a2\u4f53\u7684\u52a8\u529b\u5b66\u72b6\u6001\u3002\u5b83\u63d0\u524d\u9884\u6d4b\u8fd0\u52a8\u7684\u7ed3\u679c\uff0c\u5e76\u5c06\u9884\u6d4b\u4fe1\u53f7\u53d1\u9001\u7ed9\u5c0f\u8111\u6df1\u90e8\u6838\u56e2\uff0c\u4ee5\u5b9e\u73b0\u52a8\u4f5c\u7684\u5e73\u6ed1\u548c\u8fde\u8d2f\uff0c\u9632\u6b62\u8fd0\u52a8\u8fc7\u51b2\uff08Over-shooting\uff09\u3002<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">2. \u590d\u5408\u5c16\u5cf0 (CS)\uff1a\u8fd0\u52a8\u8bef\u5dee\u7684\u201c\u6559\u7ec3\u5458\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u590d\u5408\u5c16\u5cf0\u867d\u7136\u6bcf\u79d2\u53ea\u653e\u7535 1-2 \u6b21\uff0c\u4f46\u6bcf\u4e00\u6b21\u53d1\u653e\u90fd\u5177\u6709\u6781\u9ad8\u7684\u201c\u6743\u91cd\u201d\u548c\u80fd\u91cf\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u8bef\u5dee\u62a5\u544a\uff08Error Signaling\uff09<\/strong>\uff1a\u5f53\u4f60\u7684\u5927\u8111\u53d1\u51fa\u547d\u4ee4\u60f3\u53bb\u6293\u676f\u5b50\uff0c\u4f46\u7531\u4e8e\u529b\u91cf\u8fc7\u5927\u5bfc\u81f4\u624b\u504f\u79bb\u4e86\u8f68\u9053\uff0c\u8fd9\u79cd<strong>\u201c\u8fd0\u52a8\u611f\u89c9\u8bef\u5dee\u201d\uff08Sensory Prediction Error\uff09<\/strong>\u4f1a\u7acb\u5373\u6fc0\u6d3b\u8111\u5e72\u7684\u4e0b\u6a44\u6984\u6838\uff0c\u4e0b\u6a44\u6984\u6838\u901a\u8fc7\u6500\u7f18\u7ea4\u7ef4\u5411\u666e\u80af\u91ce\u7ec6\u80de\u53d1\u5c04\u4e00\u4e2a CS\u3002\u8fd9\u4e2a CS \u76f8\u5f53\u4e8e\u5927\u558a\u4e00\u58f0\uff1a<strong>\u201c\u6ce8\u610f\uff01\u52a8\u4f5c\u51fa\u9519\u4e86\uff01\u201d<\/strong><\/li>\n\n\n\n<li><strong>\u65f6\u95f4\u7a97\u6253\u6807\uff08Stamping\uff09<\/strong>\uff1a\u5085\u5e86\u529f\u7684\u6cca\u677e\u6a21\u578b\u7814\u7a76\u8fdb\u4e00\u6b65\u8bc1\u660e\uff0cCS \u4e0d\u4ec5\u62a5\u544a\u6709\u9519\uff0c\u5176\u5728\u5355\u6b21\u8bd5\u9a8c\u4e2d\u7684\u77ac\u65f6\u653e\u7535\u6982\u7387\u4f9d\u7136\u5e26\u6709\u5fae\u5f31\u7684\u901f\u5ea6\u548c\u65b9\u5411\u4fe1\u606f\u3002\u8fd9\u610f\u5473\u7740\u5b83\u4e0d\u4ec5\u544a\u8bc9\u5927\u8111\u201c\u9519\u4e86\u201d\uff0c\u8fd8\u987a\u4fbf\u6307\u51fa\u4e86\u201c\u5728\u54ea\u4e2a\u901f\u5ea6\/\u65b9\u5411\u4e0a\u51fa\u7684\u9519\u201d\u3002<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e09\u3001 \u6838\u5fc3\u7ebd\u5e26\uff1a\u957f\u65f6\u7a0b\u6291\u5236\uff08LTD\uff09\u9a71\u52a8\u7684\u8fd0\u52a8\u8bb0\u5fc6\u5b58\u50a8<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u7b80\u5355\u5c16\u5cf0\u548c\u590d\u5408\u5c16\u5cf0\u5982\u679c\u53ea\u662f\u5404\u884c\u5176\u662f\uff0c\u8fd0\u52a8\u5b66\u4e60\u5c31\u65e0\u6cd5\u53d1\u751f\u3002\u5b83\u4eec\u5206\u5de5\u7684\u7cbe\u9ad3\u5728\u4e8e\uff0c<strong>CS\uff08\u6559\u7ec3\uff09\u62e5\u6709\u76f4\u63a5\u6539\u53d8 SS\uff08\u6267\u884c\u8005\uff09\u5de5\u4f5c\u65b9\u5f0f\u7684\u7279\u6743<\/strong>\u3002\u8fd9\u79cd\u673a\u5236\u5728\u751f\u7269\u5b66\u4e0a\u88ab\u79f0\u4e3a<strong>\u957f\u65f6\u7a0b\u6291\u5236\uff08Long-Term Depression, LTD\uff09<\/strong>\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u8fd0\u52a8\u5b66\u4e60\u7684\u52a8\u6001\u56fe\u666f\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u521d\u59cb\u5c1d\u8bd5\uff08\u9ad8\u8bef\u5dee\uff09<\/strong>\uff1a\u4f60\u5f00\u59cb\u5c1d\u8bd5\u4e00\u9879\u65b0\u8fd0\u52a8\uff0c\u52a8\u4f5c\u7b28\u62d9\u3002\u6b64\u65f6\uff0c<strong>\u5e73\u884c\u7ea4\u7ef4<\/strong>\u5411\u666e\u80af\u91ce\u7ec6\u80de\u8f93\u5165\u5927\u91cf\u9519\u8bef\u7684\u8fd0\u52a8\u63a7\u5236\u5c1d\u8bd5\uff0c\u5f15\u53d1\u9ad8\u9891\u7684 <strong>SS<\/strong>\u3002<\/li>\n\n\n\n<li><strong>\u89e6\u53d1\u4fee\u6b63\uff08LTD \u53d1\u751f\uff09<\/strong>\uff1a\u7531\u4e8e\u52a8\u4f5c\u5931\u8bef\uff0c<strong>\u6500\u7f18\u7ea4\u7ef4<\/strong>\u77ac\u95f4\u4f20\u5165\u4e00\u4e2a <strong>CS<\/strong>\u3002\u5f53\u8fd9\u4e2a CS \u6070\u597d\u4e0e\u521a\u624d\u5f15\u53d1\u9519\u8bef\u52a8\u4f5c\u7684\u90a3\u4e2a\u5e73\u884c\u7ea4\u7ef4 SS \u4fe1\u53f7<strong>\u5728\u65f6\u95f4\u4e0a\u91cd\u5408\uff08\u7ea6\u5728 100-200 \u6beb\u79d2\u5185\uff09<\/strong>\u65f6\uff0cPC \u7ec6\u80de\u5185\u90e8\u4f1a\u89e6\u53d1\u9499\u79bb\u5b50\u5185\u6d41\u7b49\u5316\u5b66\u7ea7\u8054\u53cd\u5e94\u3002<\/li>\n\n\n\n<li><strong>\u7a81\u89e6\u88ab\u524a\u5f31<\/strong>\uff1a\u7ed3\u679c\u662f\uff0c\u90a3\u4e2a\u5bfc\u81f4\u9519\u8bef\u52a8\u4f5c\u7684\u5e73\u884c\u7ea4\u7ef4\u4e0e\u666e\u80af\u91ce\u7ec6\u80de\u4e4b\u95f4\u7684<strong>\u7a81\u89e6\u6743\u91cd\u88ab\u6c38\u4e45\u6027\u524a\u5f31\uff08LTD\uff09<\/strong>\u3002<\/li>\n\n\n\n<li><strong>\u52a8\u4f5c\u4f18\u5316\uff08\u719f\u80fd\u751f\u5de7\uff09<\/strong>\uff1a\u4e0b\u4e00\u6b21\u4f60\u518d\u6267\u884c\u540c\u6837\u7684\u52a8\u4f5c\u65f6\uff0c\u7531\u4e8e\u9519\u8bef\u7684\u9053\u8def\uff08\u7a81\u89e6\uff09\u5df2\u7ecf\u88ab\u201c\u6559\u7ec3\uff08CS\uff09\u201d\u7ed9\u5c01\u6b7b\u4e86\uff0c\u666e\u80af\u91ce\u7ec6\u80de\u7684 <strong>SS \u5c31\u4f1a\u81ea\u52a8\u9009\u62e9\u66f4\u6b63\u786e\u7684\u653e\u7535\u6a21\u5f0f<\/strong>\u3002\u968f\u7740 CS \u89e6\u53d1\u7684\u6b21\u6570\u8d8a\u6765\u8d8a\u5c11\uff0c\u8bf4\u660e\u52a8\u4f5c\u8d8a\u6765\u8d8a\u7cbe\u51c6\uff0c\u8fd0\u52a8\u8bb0\u5fc6\u6700\u7ec8\u5728\u5c0f\u8111\u4e2d\u56fa\u5316\u4e0b\u6765\u3002<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">\u56db\u3001 \u73b0\u4ee3\u795e\u7ecf\u79d1\u5b66\u4e0e BCI \u7684\u5ef6\u4f38\u8ba4\u77e5<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u5085\u5e86\u529f\u5bf9\u5c0f\u8111\u53cc\u91cd\u5c16\u5cf0\u7684\u7814\u7a76\uff0c\u5bf9\u73b0\u4ee3\u4eba\u5de5\u667a\u80fd\u548c\u8111\u673a\u63a5\u53e3\uff08BCI\uff09\u7684\u5b66\u4e60\u7b97\u6cd5\u4ea7\u751f\u4e86\u6df1\u8fdc\u5f71\u54cd\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u5f3a\u5316\u5b66\u4e60\uff08Reinforcement Learning\uff09\u7684\u751f\u7406\u5370\u8bc1<\/strong>\uff1a\u5728 AI 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