Learning in networks of cortical neurons
Learning in networks of cortical neurons
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DOI：
10.1523/jneurosci.21-22-08782.2001
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发表时间：
2001-11-15
影响因子：
5.3
通讯作者：
Marom, S
中科院分区：
文献类型：
--
作者：
Shahaf, G;Marom, S
这里提出的结果表明，选择性学习在一个真正的皮质神经元网络。我们以低频率（0.3-1 Hz）集中刺激神经网络，直到在刺激后50 +/- 10毫秒观察到预期的预定义响应，此时刺激停止5分钟。这个过程的重复循环最终导致期望的反应被刺激直接引发。通过绘制在每个周期中达到目标反应所需的刺激数量，我们能够生成学习曲线。据推测，重复的刺激正在驱动电路中的变化，而我们正在选择与预定义的期望响应一致的变化。据我们所知，这是第一次在真正的皮层神经元组成的网络中，在体外证明了任意选择任务的学习。
The results presented here demonstrate selective learning in a network of real cortical neurons. We focally stimulate the network at a low frequency (0.3-1 Hz) until a desired predefined response is observed 50 +/- 10 msec after a stimulus, at which point the stimulus is stopped for 5 min. Repeated cycles of this procedure ultimately lead to the desired response being directly elicited by the stimulus. By plotting the number of stimuli required to achieve the target response in each cycle, we are able to generate learning curves. Presumably, the repetitive stimulation is driving changes in the circuit, and we are selecting for changes consistent with the predefined desired response. To the best of our knowledge, this is the first time learning of arbitrarily chosen tasks, in networks composed of real cortical neurons, is demonstrated outside of the body.