Population coding with unreliable spikes

Bethge, M

doi:10.1016/S0925-2312(02)00359-4

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Population coding with unreliable spikes

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Bethge, M
Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Bethge, M. (2002). Population coding with unreliable spikes. Neurocomputing, 44-46, 323-328. doi:10.1016/S0925-2312(02)00359-4.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-DF9E-0

Abstract

The need for a neuronal coding scheme that is robust against the corruption of action potentials seems to support the idea of population rate coding, where the relevance of a single spike decreases proportional to the increase of population size. In order to test this intuition, we here investigate the efficiency and robustness of a population rate coding scheme in comparison to a place coding scheme using identical noise model. It turns out that the efficiency of population rate coding is substantially worse than that of place coding even if the generation or propagation of spikes are highly unreliable processes.