Artificial neural networks (ANNs) are applied to many real-world problems, ranging from
pattern classification to robot control. In order to design a neural network for a particular task …

Alan Mathison Turing (1912-1954) was the first to carry out substantial re search in the field
now known as Artificial Intelligence (AI). He was thinking about machine intelligence at least …

This paper presents a spiking neuroevolutionary system which implements memristors as
plastic connections, ie, whose weights can vary during a trial. The evolutionary design …

This article introduces the “CAM-Brain Machine”(CBM), an FPGA-based piece of hardware
that implements a genetic algorithm (GA) to evolve a cellular automata (CA)-based neural …

This paper presents an algorithm which converts an arbitrary analog time-varying signal into
a digital spiketrain (a bit string of 0's interspersed with 1's), where the information is …

Building an artificial brain using an FPGA based CAM-Brain Machine - ScienceDirect Skip
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An Indexed Bibliography of Genetic Algorithms and Neural Networks Page 1 An Indexed
Bibliography of Genetic Algorithms and Neural Networks compiled by Jarmo T. Alander …

This article introduces the “CAM-Brain Machine”(CBM), an FPGA based piece of hardware
which implements a genetic algorithm (GA) to evolve a cellular automata (CA) based neural …

This paper presents a spiking neuro-evolutionary system which implements memristors as
neuromodulatory connections, ie whose weights can vary during a trial. The evolutionary …

This article introduces ATR's “CAM-Brain Machine”(CBM), an FPGA based piece of
hardware which implements a genetic algorithm (GA) to evolve a cellular automata (CA) …