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ICEC
1994
70views more  ICEC 1994»
15 years 7 months ago
Evolving Synaptic Connections for a Silicon Neuromorph
Our VLSI neuromorphs, possess extensive dendritic trees with hundreds of excitatory and inhibitory synaptic sites. Useful signal processing can be achieved by evolving the appropr...
David P. M. Northmore, John G. Elias
ALIFE
2010
15 years 6 months ago
The Evolution of Reaction-Diffusion Controllers for Minimally Cognitive Agents
This article describes work carried out to investigate whether a classic reaction-diffusion (RD) system could be used to control a minimally cognitive animat. The RD system chosen ...
Kyran Dale, Phil Husbands
BC
2005
63views more  BC 2005»
15 years 6 months ago
Detecting chaotic structures in noisy pulse trains based on interspike interval reconstruction
The nonlinear prediction method based on the interspike interval (ISI) reconstruction is applied to the ISI sequence of noisy pulse trains and the detection of the deterministic st...
Takashi Kanamaru, Masatoshi Sekine
BMCBI
2005
144views more  BMCBI 2005»
15 years 6 months ago
GeneRank: Using search engine technology for the analysis of microarray experiments
Background: Interpretation of simple microarray experiments is usually based on the fold-change of gene expression between a reference and a "treated" sample where the t...
Julie L. Morrison, Rainer Breitling, Desmond J. Hi...
EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 10 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...