Dynamics of Population Decoding with Strong Inhibition
Decoding information from a population of noisy neurons can be achieved efficiently with center-surround recurrent networks. Here we study such networks with continuing external input and investigate the dynamics of decoding with varying inhibition strength in the network. We find that the best decoding is achieved at the onset of the memory regime in such networks.
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- 6.Grossberg, S.: Contour enhancement, short-term memory, and constancies in reverberating neural networks. Studies in Applied Mathematics 52 (1973) 217–257.Google Scholar
- 8.Deneve, S., Pouget, A., Latham, P.: Divisive normalization, line attractor networks and ideal observers. Advances in Neural Information Processing Systems 11 (1999) 104–110.Google Scholar