Abstract
The validity of population coding for movement within the motor cortex has now been confirmed by many experimental studies. The preferred direction of the population units seemed to be uniformly distributed. Previous studies have highlighted two points: (1) a regularity condition of the population activity distribution called H-regularity is a necessary and sufficient condition for learning with a class of biologically plausible correlation-based rules of synaptic modification without any bias. (2) H-regularity can result from a self-organization driven by the difference between feedforward and lateral inputs, whatever the distribution of inputs is. The set of learning rules is extended here to include a Hebb-like rule.
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© 1997 Springer Science+Business Media New York
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Germain, P., Burnod, Y. (1997). Population Coding, Population Regularity and Learning. In: Bower, J.M. (eds) Computational Neuroscience. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-9800-5_102
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DOI: https://doi.org/10.1007/978-1-4757-9800-5_102
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