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

Spatio-temporal electrical stimuli shape behavior of an embodied cortical network in a goal-directed learning task.
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DOI:
10.1088/1741-2560/5/3/004
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发表时间:
2008-09
影响因子:
4
通讯作者:
Potter SM
Potter SM
中科院分区:
工程技术2区
文献类型:
--
作者:
Bakkum DJ;Chao ZC;Potter SM

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我们开发了一种自适应训练算法,通过使用多电极阵列施加模式化的训练刺激,体外新皮质网络学习调整其动力学并在数十分钟内达到预定的活动状态。功能连接的先验知识是不必要的。取而代之的是,基于性能的实时反馈不断地发现和改进有效的训练序列。对训练做出反应的短期神经动力学已经铭刻在网络中,需要逐渐减少的训练刺激才能在运动任务中实现成功的行为。训练2小时后,80分钟的可塑性仍显著高于训练前(p<0.01)。有趣的是,当重放到网络上并且不再取决于反馈时,给定的有效训练刺激序列并没有诱导显著的可塑性(p值=0.82)或期望的行为。我们的结果鼓励进行体内研究,根据身体甚至大脑本身的活动,对大脑进行有针对性的多部位人工刺激,如何通过逐渐形成功能连接来治疗神经疾病。
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.
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