Pii: S0925-2312(01)00672-5

Blind deconvolution by simple adaptive activation function neuron

ThèBussgang' algorithm is one among the most known blind deconvo-lution techniques in the adaptive signal processing literature. It relies on a Bayesian estimator of the source signal that requires the prior knowledge of the source statistics as well as the deconvolution noise characteristics. In this paper we propose to implement the estimator with a simple adap-tive activation function neuron...

Erratum to "Temporal dynamics of information flow in the cerebral cortex" [Neurocomputing 38-40 (2001) 1429-1435]

Elliptic Curves and Their Applications to Cryptography - an introduction

Simple models of bursting and non-bursting P-type electroreceptors

Weakly electric "sh use phase and amplitude modulations of their electric organ discharge to communicate and to capture prey (electrolocation). P-type electroreceptors, also known as probability coders, on their skin can detect extremely weak signals. We analyse baseline "ring characteristics of these receptors from experimental data, and present mathematical models for the "ring activity of bo...

Non-uniform quantization of neural spike sequences through an information distortion measure