University of Cambridge > Talks.cam > Computational Neuroscience > Computational Neuroscience Journal Club

  Browse A-Z

Log in

Cambridge users (raven)details Other usersdetails No account?details

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

Computational Neuroscience Journal Club

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Guillaume Hennequin.

Guillaume Hennequin will cover:

Information-limiting correlations

R. Moreno-Bote, J. Beck, I. Kanitscheider, X. Pitkow, P. Latham and A. Pouget

Nature Neuroscience; vol. 17 (2014)

http://www.nature.com/neuro/journal/v17/n10/full/nn.3807.html

ABSTRACT :

Computational strategies used by the brain strongly depend on the amount of information that can be stored in population activity, which in turn strongly depends on the pattern of noise correlations. In vivo, noise correlations tend to be positive and proportional to the similarity in tuning properties. Such correlations are thought to limit information, which has led to the suggestion that decorrelation increases information. In contrast, we found, analytically and numerically, that decorrelation does not imply an increase in information. Instead, the only information-limiting correlations are what we refer to as differential correlations: correlations proportional to the product of the derivatives of the tuning curves. Unfortunately, differential correlations are likely to be very small and buried under correlations that do not limit information, making them particularly difficult to detect. We found, however, that the effect of differential correlations on information can be detected with relatively simple decoders.

This talk is part of the Computational Neuroscience series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

FERSA (Faculty of Education Research Students' Seminars) 2010-2011 Nanoscience Centre Seminar Series Cambridge Assessment Network Seminars at the Department of Biochemistry Major Public Lectures in Cambridge Beyond Profit

Other talks

The clinical and biological basis of prostate cancer - from diagnosis to personalised therapy Value generalization during human avoidance learning Surrogate models in Bayesian Inverse Problems Biopolymers for photonics - painting opals with water and light Colorectal cancer. Part 1. Presentation, Diagnosis and Intervention. Part 2. Cellular signalling networks in colon cancer and the models to study them - a basic research perspective Faster C++
 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity