Mathematical modeling of cognitive learning and memory
Mathematical modeling of cognitive learning and memory
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Date
2015-01-01
Authors
Srivastava, Vipin
Sampath, Suchitra
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Abstract
We demonstrate how basic cognitive functions of learning and memory can be modeled mathematically and how such models are first built from a bare minimum of essential information and then developed systematically in a step by step manner to include more and more realistic features.
Description
Keywords
Attractor neural network,
Cognitive learning and memory,
Hopfield model,
LTD,
LTP,
Orthogonalization,
Spin glass
Citation
Proceedings of ICCM 2015 - 13th International Conference on Cognitive Modeling