Publication
A. A. Lazar and
E. A. Pnevmatikakis
Video Time Encoding Machines
IEEE Transactions on Neural Networks , Volume 22 , Number 3 , pp. 461-473 , March 2011
Keywords:- faithful representation neural circuit architectures spiking neurons time encoding visual receptive fields.
BibTex Code DOI PDF
We investigate architectures for time encoding and
time decoding of visual stimuli such as natural and synthetic
video streams (movies, animation). The architecture for time
encoding is akin to models of the early visual system. It consists of
a bank of filters in cascade with single-input multi-output neural
circuits. Neuron firing is based on either a threshold-and-fire or
an integrate-and-fire spiking mechanism with feedback. We show
that analog information is represented by the neural circuits as
projections on a set of band-limited functions determined by
the spike sequence. Under Nyquist-type and frame conditions,
the encoded signal can be recovered from these projections
with arbitrary precision. For the video time encoding machine
architecture, we demonstrate that band-limited video streams of
finite energy can be faithfully recovered from the spike trains
and provide a stable algorithm for perfect recovery. The key
condition for recovery calls for the number of neurons in the
population to be above a threshold value.
Video Time Encoding Machines
IEEE Transactions on Neural Networks , Volume 22 , Number 3 , pp. 461-473 , March 2011
Keywords:- faithful representation neural circuit architectures spiking neurons time encoding visual receptive fields.
BibTex Code DOI PDF
Reference
@article{LAP11,
author = "A. A. Lazar and E. A. Pnevmatikakis",
title = "Video Time Encoding Machines",
year = 2011,
journal = "IEEE Transactions on Neural Networks",
volume = 22,
number = 3,
pages = "461-473",
month = "Mar",
keywords = "faithful representation, neural circuit architectures, spiking neurons, time encoding, visual receptive fields."
}