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Neural coding

Known as: Population code, Independent-spike encoding, Neuroelectrodynamics 
Neural coding is a neuroscience related field concerned with characterizing the relationship between the stimulus and the individual or ensemble… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2015
Review
2015
One key advantage of 4G OFDM system is the relatively simple receiver implementation due to the orthogonal resource allocation… 
Highly Cited
2009
Highly Cited
2009
Compressed sensing techniques make it possible to exploit the sparseness of radar scenes to potentially improve system… 
Highly Cited
2007
Highly Cited
2007
This article proposes an active basis model and a shared pursuit algorithm for learning deformable templates from image patches… 
Highly Cited
2007
Highly Cited
2007
Aligning a pair of blurred and non-blurred images is a prerequisite for many image and video restoration and graphics… 
Review
2006
Review
2006
Images can be coded accurately using a sparse set of vectors from a learned overcomplete dictionary, with potential applications… 
Highly Cited
1999
Highly Cited
1999
Information Extraction (IE) is the process of analyzing natural language text or speech, and collecting information about… 
Highly Cited
1994
Highly Cited
1994
A video coding method is proposed which is based upon fractal block coding. The method utilizes a novel three-dimensional… 
Highly Cited
1985
Highly Cited
1985
This paper describes the circuit simulation algorithms of the SAMSON2 mixed circuit/logic simulator. SAMSON2 employs event driven… 
1979
1979
In this paper, we examine a number of concepts and issues concerning variable-rate coding of speech. We formulate the problem as… 
Highly Cited
1970
Highly Cited
1970
An efficient implementation of the Crout elimination method in solving large sparse systems of linear algebraic equations of…