Information theoretic methods for studying population codes

Information-theoretic methods for studying population codes

Here, we review an information-theoretic approach to population coding. We first discuss how to compute the information carried by simultaneously recorded ...

Information-theoretic methods for studying population codes - PubMed

Population coding is the quantitative study of which algorithms or representations are used by the brain to combine together and evaluate the messages ...

Information-theoretic methods for studying population codes

Abstract. Population coding is the quantitative study of which algorithms or representations are used by the brain to combine together and evaluate the messages ...

Information-theoretic methods for studying population codes

Population coding is the quantitative study of which algorithms or representations are used by the brain to combine together and evaluate the messages carried ...

2010 Special Issue: Information-theoretic methods for studying ...

Here, we review an information-theoretic approach to population coding. We first discuss how to compute the information carried by simultaneously recorded ...

Information-theoretic methods for studying population codes

... The QE [75] and jackknife [76] methods delivered the most accurate results, followed by the Wolpert-Wolf [77]. From them, the QE method was ...

Population Codes: Theoretic Aspects - Center for Neural Science

We have discussed two general ways of encoding information in population codes and evidence for population codes in the brain. ... Most studies of population ...

Information-theoretic methods for studying population codes — The ...

Population coding is the quantitative study of which algorithms or representations are used by the brain to combine together and evaluate the messages ...

[PDF] 2010 Special Issue: Information-theoretic methods for studying ...

Semantic Scholar extracted view of "2010 Special Issue: Information-theoretic methods for studying population codes" by Robin A. A. Ince et al.

Information theoretic methods for studying population codes

Summary *. Population coding is the quantitative study of which algorithms or representations are used by thebrain to combine together and evaluate the ...

Understanding Neural Population Coding: Information Theoretic ...

Recent work by other groups corroborates these results using similar studies and analysis methods in the auditory inferior colliculus [21] and ...

INFORMATION PROCESSING WITH POPULATION CODES

cells in area MT and psychophysical methods to study the percept of the ... The theory and analysis of population codes are steadily maturing. In the ...

Information-theoretic methods for studying population codes | CoLab

Here, we review an information-theoretic approach to population coding. We first discuss how to compute the information carried by ...

Population codes enable learning from few examples by shaping ...

This quantity will depend on the population code r ⁢ ( θ ) , the target function y ⁢ ( θ ) and the set of training examples D . Our theoretical analysis of this ...

Information-theoretic methods for studying population codes ...

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NIT: an open-source tool for information theoretic analysis of neural ...

II has been used in several studied to determine the behavioral relevance of aspects of neural population codes (e.g. [39, 54, 83]). NIT has a ...

(PDF) An Informational Study of the Evolution of Codes in Different ...

We consider the problem of the evolution of a code within a structured population of agents. The agents try to maximise their information about their ...

An information-theoretic approach to understanding the neural ...

Information theoretic analyses combined with advanced machine learning techniques to address population coding capabilities in terms of neural coding. Main ...

Optimal Population Coding for Dynamic Input by Nonequilibrium ...

The efficient coding hypothesis states that neural response should maximize its information about the external input. Theoretical studies ...

Reassessing optimal neural population codes with neurometric ...

In contrast, population codes optimized for Fisher information do not depend on decoding time and are severely suboptimal when only few spikes are available. In ...