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Synchronizing assemblies perform magnitude-invariant pattern detection
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AI
DOI：10.1016/S0925-2312(02)00396-X.png)
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摘要
En 中文
We show that synchronization in networks of spiking neurons reflects a particular computation on the inputs: magnitude-invariant pattern detection. By analyzing a population of mutually coupled integrate-and-fire neurons, we find that the amount of synchronization reflects the number of components which match the input weights, where the similarity threshold is set by the strength of coupling among the neurons. Possible implications for cortical information processing are discussed. (C) 2002 Elsevier Science B.V. All rights reserved.
Keyword:
computation with synchronization
magnitude-invariant pattern detection
pulse-coupled neurons
information processing
期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W
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