Fast Propagation of Firing Rates through Layered Networks of Noisy Neurons

Mark C. W. van Rossum, Gina G. Turrigiano, Sacha B. Nelson

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

We model the propagation of neural activity through a feedforward network consisting of layers of integrate-and-fire neurons. In the presence of a noisy background current and spontaneous background firing, firing rate modulations are transmitted linearly through many layers, with a delay proportional to the synaptic time constant and with little distortion. Single neuron properties and firing statistics are in agreement with physiological data. The proposed mode of propagation allows for fast computation with population coding based on firing rates, as is demonstrated with a local motion detector.
Original languageEnglish
Pages (from-to)1956-1966
Number of pages11
JournalThe Journal of Neuroscience
Volume22
Issue number5
Publication statusPublished - 2002

Fingerprint

Dive into the research topics of 'Fast Propagation of Firing Rates through Layered Networks of Noisy Neurons'. Together they form a unique fingerprint.

Cite this