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IJCNN
2007
IEEE
15 years 10 months ago
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
Manish Saggar, Tekin Meriçli, Sari Andoni, ...
ICAS
2006
IEEE
207views Robotics» more  ICAS 2006»
15 years 10 months ago
Biologically-Inspired Design of Autonomous and Adaptive Grid Services
Abstract—This paper describes and evaluates a biologically-inspired network architecture that allows grid services to autonomously adapt to dynamic environment changes in the net...
Chonho Lee, Junichi Suzuki
176
Voted
ALIFE
1999
15 years 3 months ago
An Approach to Biological Computation: Unicellular Core-Memory Creatures Evolved Using Genetic Algorithms
A novel machine language genetic programming system that uses one-dimensional core memories is proposed and simulated. The core is compared to a biochemical reaction space, and in ...
Hikeaki Suzuki
NIPS
2000
15 years 5 months ago
Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
Thomas Natschläger, Wolfgang Maass, Eduardo D...
IROS
2006
IEEE
168views Robotics» more  IROS 2006»
15 years 10 months ago
Scanning the Environment with Two Independent Cameras - Biologically Motivated Approach
— In this paper we present a novel method for visual scanning and target tracking by means of independent pan-tilt cameras which mimic the chameleon visual system. We present a s...
Ofir Avni, Francesco Borrelli, Gadi Katzir, Ehud R...