首页> 外文会议>Computational Neuroscience Meeting(CNS03); 20030705-09; Alicante(ES) >Control of network activity through neuronal response modulation
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Control of network activity through neuronal response modulation

机译:通过神经元反应调节控制网络活动

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Neural network learning is typically treated as the problem of setting synaptic connection strengths to better perform a task. This requires supervision. However, anatomical data suggest that direct synaptic modification by such a supervisor circuit would be unfeasible. We investigate supervision at the level of neurons rather than synapses. By modulating the response properties of cells in the network, this form of supervised learning is able to successfully train a network to perform a function approximation task. We examine the nature of this modulation, and consider its implications for supervised learning.
机译:神经网络学习通常被视为设置突触连接强度以更好地执行任务的问题。这需要监督。但是,解剖学数据表明,通过这种主管电路进行直接的突触修饰是不可行的。我们研究神经元而不是突触水平的监督。通过调制网络中单元的响应属性,这种形式的监督学习能够成功地训练网络以执行功能逼近任务。我们研究了这种调制的性质,并考虑了其对监督学习的影响。

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