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The Journal of Neuroscience, March 1, 2002, 22(5):1956-1966
Fast Propagation of Firing Rates through Layered Networks of Noisy Neurons
Mark C. W. van Rossum, Gina G. Turrigiano, and Sacha B. Nelson Department of Biology, Brandeis University, Waltham, Massachusetts 02454-9110
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.
Key words: rate coding; sensory processing; propagation; integrate-and-fire neurons; network models; synfire models; population coding
Copyright © 2002 Society for Neuroscience 0270-6474/02/2251956-11$05.00/0
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