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A Dynamic Cortical Amplifier Model for Fast information Processing
Citation key Schwabe2000
Author Schwabe, L. and Adorjan, P. and Obermayer, K.
Title of Book Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Pages 431 – 435
Year 2000
ISBN 0-7695-0619-4
ISSN 1098-7576
DOI 10.1109/IJCNN.2000.861507
Volume V
Publisher IEEE
Abstract We start from the observation that sensory coding is not a static mapping but a process and focus on this temporal aspect. We propose that first extracting the salient features of a stimulus and then the details is an efficient coding strategy in terms of information processing when the networks bandwidth increases with time. We show (i) by using a simple transfer function that modulating the coding strategy from an initially highly competitive to a less competitive mapping is efficient for information encoding in time and (ii) present simulation results of a detailed computational model of a cortical hypercolumn in order to demonstrate that this strategy could be implemented in the primary visual cortex. We propose a dynamic cortical amplifier model and suggest fast depressing synapses at the excitatory lateral connections as a possible mechanism to modulate the level competition on a short timescale.
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