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Computational neuroscience

Known as: Neurocomputing, Mathematical neuroscience, Theoretical neuroscience 
Computational neuroscience (also theoretical neuroscience) is the study of brain function in terms of the information processing properties of the… 
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Related topics

Related topics

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Action potentialActivation-synthesis hypothesisArtificial consciousnessBlue Gene

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
GPU-based biclustering for microarray data analysis in neurocomputing
2014
2014
Effect of Anatomical Brain Development on Induced Electric Fields During Transcranial Magnetic Stimulation
Transcranial magnetic stimulation (TMS) is increasingly becoming an established method for the treatment of drug-resistant major… 
Review
2011
Review
2011
Brain, Behavior, and Culture: Insights from Cognition, Perception, and Emotion
Recent developments in cultural neuroscience have provided insights showing that human brain function can vary along cultural… 
2009
2009
Comments and Controversies Lost in localization ? The focus is meta-analysis
Article history: One of the great advantage Received 6 November 2008 Revised 15 January 2009 Accepted 18 January 2009 Available… 
2008
2008
Unreflective action. A philosophical contribution to integrative neuroscience
In many situations in our daily lives we act adequately, yet unreflectively. With certainty and fluency we turn the pages of a… 
Review
2007
Review
2007
Fragile X Syndrome and Autism: Common Developmental Pathways?
Identifying atypical trajectories that distinguish children with differing developmental disorders from each other and from… 
2002
2002
Intelligent weather monitoring systems using connectionist models
This paper presents a comparative study of different neural network models for forecasting the weather of Vancouver, British… 
2001
2001
Texture classification based on DCT and soft computing
We present a classification method based on the discrete cosine transform (DCT) coefficients of texture image. Since the DCT… 
Highly Cited
1996
Highly Cited
1996
Multi neural network based fault area estimation for high speed protective relaying
The aim of this paper is to present a new approach to fault area estimation for high-speed relaying using feedforward neural… 
Review
1989
Review
1989
Maximizing long-term gas industry profits in two minutes in Lotus using neural network methods
Generalized methods that are commonly used in neural-network research have made it possible for the US Energy Information… 
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