Optimal quantization for energy-efficient information transfer in a population of neuron-like devices
Date
2004
Authors
McDonnell, M.
Stocks, N.
Pearce, C.
Abbott, D.
Editors
Kish, L.
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Noise in complex systems and stochastic dynamics II : 26-28 May, 2004, Maspalomas, Gran Canaria, Spain / Zoltán Gingl (ed.), pp. 222-232
Statement of Responsibility
Mark D. McDonnell, Nigel G. Stocks, Charles E. M. Pearce, and Derek Abbott
Conference Name
Fluctuations and Noise (2004 : Gran Canaria Island, Spain)
Abstract
Suprathreshold Stochastic Resonance (SSR) is a recently discoveredform of stochastic resonance that occurs in populations of neuron-like devices. A key feature of SSR is that all devices in the population possess identical threshold nonlinearities. It haspreviously been shown that information transmission through such asystem is optimized by nonzero internal noise. It is also clearthat it is desirable for the brain to transfer information in anenergy efficient manner. In this paper we discuss the energy efficient maximization of information transmission for the case ofvariable thresholds and constraints imposed on the energy available to the system, as well as minimization of energy for the case of a fixed information rate. We aim to demonstrate that under certain conditions, the SSR configuration of all devices having identical thresholds is optimal. The novel feature of this work is that optimization is performed by finding the optimal threshold settings for the population of devices, which is equivalent to solving a noisy optimal quantization problem.
School/Discipline
Dissertation Note
Provenance
Description
© 2004 COPYRIGHT SPIE--The International Society for Optical Engineering