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… (More)
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Topic mentions per year

1959-2017
020040060019592017

Papers overview

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Review
2015
Review
2015
One key advantage of 4G OFDM system is the relatively simple receiver implementation due to the orthogonal resource allocation… (More)
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Highly Cited
2010
Highly Cited
2010
The traditional SPM approach based on bag-of-features (BoF) requires nonlinear classifiers to achieve good image classification… (More)
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Highly Cited
2009
Highly Cited
2009
Sparse coding---that is, modelling data vectors as sparse linear combinations of basis elements---is widely used in machine… (More)
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Highly Cited
2008
Highly Cited
2008
While evidence indicates that neural systems may be employing sparse approximations to represent sensed stimuli, the mechanisms… (More)
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Highly Cited
2006
Highly Cited
2006
Sparse coding provides a class of algorithms for finding succinct representations of stimuli; given only unlabeled input data, it… (More)
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Highly Cited
2006
Highly Cited
2006
In recent years there has been a growing interest in the study of sparse representation of signals. Using an overcomplete… (More)
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Highly Cited
2002
Highly Cited
2002
A key challenge for neural modeling is to explain how a continuous stream of multimodal input from a rapidly changing environment… (More)
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Highly Cited
2001
Highly Cited
2001
It is often supposed that the messages sent to the visual cortex by the retinal ganglion cells are encoded by the mean firing… (More)
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2001
2001
Our main interest is the question of how neural ensemble activity represents sensory stimuli. In this paper we discuss a new… (More)
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Highly Cited
1989
Highly Cited
1989
Traditional approaches to neural coding characterize the encoding of known stimuli in average neural responses. Organisms face… (More)
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