Abstract
An essential feature of neural information processing in the brain is that a stimulus is not represented by the activity of a single neuron but rather by the joint activities of a number of them. Such a coding strategy is called population coding. This paper reviews the recent progress on the understanding of computational properties of population codes, with emphasis on how to implement a hierarchical Bayesian decoding procedure in a neural circuit.
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Wu, S., Chen, D. (2002). Computation with a Number of Neurons. In: Winkler, J., Niranjan, M. (eds) Uncertainty in Geometric Computations. The Springer International Series in Engineering and Computer Science, vol 704. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0813-7_17
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DOI: https://doi.org/10.1007/978-1-4615-0813-7_17
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5252-5
Online ISBN: 978-1-4615-0813-7
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