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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