We study the entropy rate of a hidden Markov process, defined by observing the output of a symmetric channel whose input is a first order Markov process. Although this definition is very simple, obtaining the exact amount of entropy rate in calculation is an open problem. We introduce some probability matrices based on Markov chain's and channel's parameters. Then, we try to obtain an estimate ...

The paper describes an analog integrated circuit that implements an auditory neural representation of spectral shape. The circuit contains silicon models of the cochlea, inner hair cells, spiral ganglion cells, and the neurons that compute an amplitude-invariant representation of spectral shape. The chip uses the temporal information in each silicon auditory-nerve fiber to compute this final re...

The paper describes an analog integrated circuit that implements an auditory neural representation of spectral shape. The circuit contains silicon models of the cochlea, inner hair cells, spiral ganglion cells, and the neurons that compute an amplitude-invariant representation of spectral shape. The chip uses the temporal information in each silicon auditory-nerve ber to compute this nal repres...