Spatio-temporal electrical stimuli shape behavior of an embodied cortical network in a goal-directed learning task

被引:88
作者
Bakkum, Douglas J. [1 ,2 ,3 ]
Chao, Zenas C. [2 ,3 ,4 ]
Potter, Steve M. [2 ,3 ]
机构
[1] Univ Tokyo, Grad Sch Informat Sci & Technol, Tokyo, Japan
[2] Georgia Inst Technol, Lab Neuroengn, Coulter Dept Biomed Engn, Atlanta, GA 30332 USA
[3] Emory Univ, Sch Med, Atlanta, GA 30322 USA
[4] RIKEN, Brain Sci Inst, BTCC Interact Brain Commun Unit, Wako, Saitama 3510198, Japan
关键词
D O I
10.1088/1741-2560/5/3/004
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
We developed an adaptive training algorithm, whereby an in vitro neocortical network learned to modulate its dynamics and achieve pre-determined activity states within tens of minutes through the application of patterned training stimuli using a multi-electrode array. A priori knowledge of functional connectivity was not necessary. Instead, effective training sequences were continuously discovered and refined based on real-time feedback of performance. The short-term neural dynamics in response to training became engraved in the network, requiring progressively fewer training stimuli to achieve successful behavior in a movement task. After 2 h of training, plasticity remained significantly greater than the baseline for 80 min (p-value <0.01). Interestingly, a given sequence of effective training stimuli did not induce significant plasticity (p-value = 0.82) or desired behavior, when replayed to the network and no longer contingent on feedback. Our results encourage an in vivo investigation of how targeted multi-site artificial stimulation of the brain, contingent on the activity of the body or even of the brain itself could treat neurological disorders by gradually shaping functional connectivity.
引用
收藏
页码:310 / 323
页数:14
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