Divisive inhibition in recurrent networks

Divisive inhibition in recurrent networks
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DOI:
10.1088/0954-898x/11/2/301
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发表时间:
2000-05-01
影响因子:
7.8
通讯作者:
Abbott, LF
Abbott, LF
中科院分区:
计算机科学4区
文献类型:
--
作者:
Chance, FS;Abbott, LF

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视觉皮层的模型表明,反应的选择性可以产生于高增益的递归网络。然而,这样的网络有一些问题的特点:(i)他们的操作危险接近不稳定的点,(ii)突触强度的微小变化可以显着修改放大的程度,(iii)他们反应缓慢,快速变化的刺激。分裂抑制通过自身被分裂抑制的中间神经元起作用,可以解决这些问题,而不会降低递归网络的选择性。
Models of visual cortex suggest that response selectivity can arise from recurrent networks operating at high gain. However, such networks have a number of problematic features: (i) they operate perilously close to a point of instability, (ii) small changes in synaptic strength can dramatically modify the degree of amplification, and (iii) they respond slowly to rapidly changing stimuli. Divisive inhibition, acting through interneurons that are themselves divisively inhibited, can solve these problems without degrading the selectivity of a recurrent network.