Neural population dynamics during reaching

被引:900
作者
Churchland, Mark M. [1 ,2 ,3 ]
Cunningham, John P. [4 ,5 ]
Kaufman, Matthew T. [2 ,3 ]
Foster, Justin D. [2 ]
Nuyujukian, Paul [6 ,7 ]
Ryu, Stephen I. [2 ,8 ]
Shenoy, Krishna V. [2 ,3 ,6 ,9 ]
机构
[1] Columbia Univ, Med Ctr, David Mahoney Ctr, Dept Neurosci,Kavli Inst Brain Sci, New York, NY 10032 USA
[2] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA
[3] Stanford Univ, Neurosci Program, Stanford, CA 94305 USA
[4] Washington Univ St Louis, Dept Biomed Engn, St Louis, MO 63130 USA
[5] Univ Cambridge, Dept Engn, Cambridge CB2 1PZ, England
[6] Stanford Univ, Dept Bioengn, Stanford, CA 94705 USA
[7] Stanford Univ, Sch Med, Stanford, CA 94305 USA
[8] Palo Alto Med Fdn, Dept Neurosurg, Palo Alto, CA 94301 USA
[9] Stanford Univ, Sch Med, Dept Neurobiol, Stanford, CA 94305 USA
基金
美国国家科学基金会; 英国工程与自然科学研究理事会; 美国国家卫生研究院;
关键词
OPTIMAL FEEDBACK-CONTROL; MOTOR CORTEX REFLECTS; PREPARATORY ACTIVITY; OUTPUT KINEMATICS; ISOMETRIC-FORCE; ARM MOVEMENTS; PREMOTOR; MUSCLE; DIRECTION; NEURONS;
D O I
10.1038/nature11129
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Most theories of motor cortex have assumed that neural activity represents movement parameters. This view derives from what is known about primary visual cortex, where neural activity represents patterns of light. Yet it is unclear how well the analogy between motor and visual cortex holds. Single-neuron responses in motor cortex are complex, and there is marked disagreement regarding which movement parameters are represented. A better analogy might be with other motor systems, where a common principle is rhythmic neural activity. Here we find that motor cortex responses during reaching contain a brief but strong oscillatory component, something quite unexpected for a non-periodic behaviour. Oscillation amplitude and phase followed naturally from the preparatory state, suggesting a mechanistic role for preparatory neural activity. These results demonstrate an unexpected yet surprisingly simple structure in the population response. This underlying structure explains many of the confusing features of individual neural responses.
引用
收藏
页码:51 / +
页数:8
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