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Neural Network Simulation

Known as: Neural Networks (Computer), Network, Neural (Computer), Perceptrons 
A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which… 
National Institutes of Health

Related topics

Related topics

2 relations
Artificial Intelligencecomputational neuroscience

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2009
Highly Cited
2009
An Ultra Low-Power CMOS Automatic Action Potential Detector
We present a low-power complementary metal-oxide semiconductor (CMOS) analog integrated biopotential detector intended for neural… 
Highly Cited
2009
Highly Cited
2009
Combined effect of chemical and electrical synapses in Hindmarsh-Rose neural networks on synchronization and the rate of information.
In this work we studied the combined action of chemical and electrical synapses in small networks of Hindmarsh-Rose (HR) neurons… 
Highly Cited
2004
Highly Cited
2004
Global exponential stability of cellular neural networks with time-varying coefficients and delays.
In this paper, a class of cellular neural networks with time-varying coefficients and delays is considered. By constructing a… 
Highly Cited
2003
Highly Cited
2003
Properties and prediction of mitochondrial transit peptides from Plasmodium falciparum.
Highly Cited
2001
Highly Cited
2001
Hopfield neural networks for affine invariant matching
The affine transformation, which consists of rotation, translation, scaling, and shearing transformations, can be considered as… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1995
Highly Cited
1995
Distortion tolerant pattern recognition based on self-organizing feature extraction
A generic, modular, neural network-based feature extraction and pattern classification system is proposed for finding essentially… 
Highly Cited
1994
Highly Cited
1994
An analysis of the gamma memory in dynamic neural networks
Presents a vector space framework to study short-term memory filters in dynamic neural networks. The authors define parameters to… 
Highly Cited
1993
Highly Cited
1993
A fuzzy neural network learning fuzzy control rules and membership functions by fuzzy error backpropagation
  • D. NauckR. Kruse
  • IEEE International Conference on Neural Networks
  • 1993
  • Corpus ID: 58070646
A kind of neural network architecture designed for control tasks is presented. It is called the fuzzy neural network. The… 
Highly Cited
1992
Highly Cited
1992
Integrated pulse stream neural networks: results, issues, and pointers
Results from working analog VLSI implementations of two different pulse stream neural network forms are reported. The circuits… 
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