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Modelle neuronaler Systeme


A Dynamic Cortical Amplifier Model for Fast information Processing
Zitatschlüssel Schwabe2000
Autor Schwabe, L. and Adorjan, P. and Obermayer, K.
Buchtitel Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Seiten 431 – 435
Jahr 2000
ISBN 0-7695-0619-4
ISSN 1098-7576
DOI 10.1109/IJCNN.2000.861507
Jahrgang V
Verlag IEEE
Zusammenfassung 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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