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Author(s): Grossberg, S. |
Year: 1969
Citation: Journal of Mathematical Psychology, 6, 209-239
Abstract: A learning theory in continuous time is derived herein from simple psychologicalpostulates. The theory has an anatomical and neurophysiological interpretation interms of nerve cell bodies, axons, synaptic knobs, membrane potentials, spikingfrequencies, transmitter production and release, etc. In particular, a new hypothesisconcerning transmitter production is presented. Backward learning, a connectionbetween reaction times and learning speeds, learning without neural reverberation, andthe variation through time of contexts in response to shifting environmental demandsare discussed. Some qualitative connections with the work of Guthrie, Hull, Pavlov,and the Gestaltists are noted. Linear vs nonlinear, as well as Markovian vs non-Markovian properties of the theory's mathematical formalism are mentioned.
Topics:
Biological Learning,
Mathematical Foundations of Neural Networks,
Models:
Other,
