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Biological Neural Networks

Known as: Nerve network, Neural network, neural network (biological) 
National Institutes of Health

Papers overview

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Highly Cited
2017
Highly Cited
2017
A long-standing goal of artificial intelligence is an algorithm that learns, tabula rasa, superhuman proficiency in challenging… Expand
Highly Cited
2013
Highly Cited
2013
Deep neural network acoustic models produce substantial gains in large vocabulary continuous speech recognition systems. Emerging… Expand
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Highly Cited
2008
Highly Cited
2008
Publisher Summary This chapter focuses on the modern notion of short-term memory, called working memory. Working memory refers to… Expand
Highly Cited
2004
Highly Cited
2004
We describe improvements of the currently most popular method for prediction of classically secreted proteins, SignalP. SignalP… Expand
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Highly Cited
1999
Highly Cited
1999
Is perception of the whole based on perception of its parts? There is psychological and physiological evidence for parts-based… Expand
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Highly Cited
1999
Highly Cited
1999
  • D. T. Jones
  • Journal of molecular biology
  • 1999
  • Corpus ID: 15506630
A two-stage neural network has been used to predict protein secondary structure based on the position specific scoring matrices… Expand
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Review
1998
Review
1998
Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based… Expand
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Highly Cited
1995
Highly Cited
1995
From the Publisher: Artificial "neural networks" are now widely used as flexible models for regression classification… Expand
Highly Cited
1991
Highly Cited
1991
  • D. Specht
  • IEEE Trans. Neural Networks
  • 1991
  • Corpus ID: 6266210
A memory-based network that provides estimates of continuous variables and converges to the underlying (linear or nonlinear… Expand
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Highly Cited
1984
Highly Cited
1984
  • J. Hopfield
  • Proceedings of the National Academy of Sciences…
  • 1984
  • Corpus ID: 2537503
A model for a large network of "neurons" with a graded response (or sigmoid input-output relation) is studied. This deterministic… Expand
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