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Models of neural computation

Models of neural computation are attempts to elucidate, in an abstract and mathematical fashion, the core principles that underlie information… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Substance use disorders are chronic relapsing disorders often impelled by enduring memories and persistent cravings. Alcohol, as… 
2017
2017
Artificial Neural Networks (ANNs) are bio-inspired models of neural computation that have proven highly effective. Still, ANNs… 
2017
2017
A central goal of neuroscience is to understand how the responses of populations of neurons and the connectivity patterns between… 
2013
2013
Modern conventional computers are programmable, predictable and relatively easy to understand and engineered —at least compared… 
2009
2009
This workshop brought together a group of experimental and theoretical neuroscientists to outline a roadmap for research leading… 
2009
2009
This workshop brought together a group of experimental and theoretical neuroscientists to outline a roadmap for research leading… 
2006
2006
The Problem: A model of object recognition via the feedforwardpath of the ventral visual stream in cortex [9, 10] is composed of… 
Review
1998
Review
1998
Book review of "How the Mind Works, Steven Pinker, W. W. Norton & Co., New York, 1997, 660 pp., $29.90, ISBN 0-393- 04535-8. 
1998
1998
In this paper we show that programming languages are implementable on neural nets, namely, neural nets can be designed to solve… 
1994
1994
  • A. Andreou
  • 1994
  • Corpus ID: 61603974
Examines computation in a framework where the problem is essentially that of extracting a signal from noise, filtering (selective…