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(Neural Computation. 2005;18:45-59.)
© 2005 The MIT Press


Letter

Simultaneous Rate-Synchrony Codes in Populations of Spiking Neurons

Naoki Masuda

masuda{at}brain.riken.jp, Laboratory for Mathematical Neuroscience, RIKEN Brain Science Institute, Wako, Japan, and ERATO Aihara Complexity Modelling Project, Japan Science and Technology Agency, Tokyo, Japan

Firing rates and synchronous firing are often simultaneously relevant signals, and they independently or cooperatively represent external sensory inputs, cognitive events, and environmental situations such as body position. However, how rates and synchrony comodulate and which aspects of inputs are effectively encoded, particularly in the presence of dynamical inputs, are unanswered questions. We examine theoretically how mixed information in dynamic mean input and noise input is represented by dynamic population firing rates and synchrony. In a subthreshold regime, amplitudes of spatially uncorrelated noise are encoded up to a fairly high input frequency, but this requires both rate and synchrony output channels. In a suprathreshold regime, means and common noise amplitudes can be simultaneously and separately encoded by rates and synchrony, respectively, but the input frequency for which this is possible has a lower limit.







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J COGNITIVE NEUROSCIENCE NEURAL COMPUTATION MIT PRESS JOURNALS
Copyright © 2005 by The MIT Press.