Synfire chains
Author(s) -
Moshe Abeles
Publication year - 2009
Publication title -
scholarpedia
Language(s) - English
Resource type - Journals
ISSN - 1941-6016
DOI - 10.4249/scholarpedia.1441
Subject(s) - computer science
Synfire chains are feed-forward networks with random connections between layers. Theory and experiments suggest that activity in such a structure propagates from layer to layer as a synchronous volley of spikes. Activity in synfire chains may represent mental items or percepts categorically and can code for the evolution of a process in time. Synfire chains produce precise spatiotemporal firing patterns composed of a sequence of synchronized firing in a series of small groups of neurons. They can also learn to recognize such spatiotemporal patterns. This can be used to dynamically bind elementary mental items into complex representations. Using current techniques, echoes of such precise spatiotemporal patterns can be (and have been) detected.
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