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BSN
2011
IEEE
233views Sensor Networks» more  BSN 2011»
13 years 11 months ago
Compressive Sensing of Neural Action Potentials Using a Learned Union of Supports
—Wireless neural recording systems are subject to stringent power consumption constraints to support long-term recordings and to allow for implantation inside the brain. In this ...
Zainul Charbiwala, Vaibhav Karkare, Sarah Gibson, ...
CSREAESA
2004
15 years 1 months ago
CMOS Implementation of Phase-Encoded Complex-Valued Artificial Neural Networks
- The model of a simple perceptron using phase-encoded inputs and complex-valued weights is presented. Multilayer two-input and three-input complex-valued neurons (CVNs) are implem...
Howard E. Michel, David Rancour, Sushanth Iringent...
93
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ISCAS
2003
IEEE
117views Hardware» more  ISCAS 2003»
15 years 5 months ago
Learning temporal correlations in biologically-inspired aVLSI
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
Adria Bofill-i-Petit, Alan F. Murray
IJCNN
2007
IEEE
15 years 6 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, ...
IWANN
2001
Springer
15 years 4 months ago
Neurobiological Modeling of Bursting Response During Visual Attention
: Thalamic neurons have an exclusive property named bursting response. Bursting response seems to have a critical role in producing saliency map and encoding conspicuity of locatio...
Reza Rajimehr, Leila Montaser Kouhsari