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PubMed · 8968845

Robust feedforward processing in synfire chains.

E O Postma·H J van den Herik·P T Hudson
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Abstract

The rapidity of time-constrained visual identification suggests a feedforward process in which neural activity is propagated through a number of cortical stages. The process is modeled by using a synfire chain, leading to a neural-network model which involves propagating activation waves through a sequence of layers. Theory and analysis of the model's behavior, especially in the presence of noise, predict enhancement of wave propagation for a range of noise intensities. Simulation studies confirm this prediction. The results are discussed in terms of (spatio-temporal) stochastic resonance. It is concluded that feedforward processes such as time-constrained visual identification may benefit from moderate levels of noise.

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AlgorithmsArtifactsComputer SimulationCyberneticsNeural Networks, ComputerStochastic ProcessesSynaptic TransmissionVisual PerceptionJournal Article

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BibTeXRIS

E O Postma, H J van den Herik, P T Hudson. 1996. Robust feedforward processing in synfire chains.. https://doi.org/10.1142/s012906579600052x

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