In this work, we propose a variation of a direct reinforcement learning algorithm, suitable for usage with spiking neurons based on the spike response model (SRM). The SRM is a bi...
Murilo Saraiva de Queiroz, Roberto Coelho de Berr&...
Since accurate classification of DNA microarray is a very important issue for the treatment of cancer, it is more desirable to make a decision by combining the results of various ...
The traditional dilemma for performing network simulations with analog circuits is the great difficulty of handling the connectivity in hardware. The main problem is that hardware...
Quan Zou, Yannick Bornat, Jean Tomas, Sylvie Renau...
In this paper we revisit a classic HOS-based BSS criterion, namely the maximization of the higher-order moments of the estimated sources. The main contributions of this paper are:...
This paper proposes a novel method for blindly separating unobservable independent component (IC) signals based on the use of a genetic algorithm. It is intended for its applicati...
Equivariant Adaptive Separation via Independence (EASI) is one of the most successful algorithms for Blind Source Separation (BSS). However, the user has to choose nonlinearities,...
Samareh Samadi, Massoud Babaie-Zadeh, Christian Ju...
The immense computational and adaptive power of the cerebral cortex emerges from the collective dynamics of large populations of interacting neurons. Thus, for theoretical investi...
ional models of cortical associative memory often take a top-down approach. We have previously described such an abstract model with a hypercolumnar structure. Here we explore a s...