Literature DB >> 16760916

Neural correlations, population coding and computation.

Bruno B Averbeck1, Peter E Latham, Alexandre Pouget.   

Abstract

How the brain encodes information in population activity, and how it combines and manipulates that activity as it carries out computations, are questions that lie at the heart of systems neuroscience. During the past decade, with the advent of multi-electrode recording and improved theoretical models, these questions have begun to yield answers. However, a complete understanding of neuronal variability, and, in particular, how it affects population codes, is missing. This is because variability in the brain is typically correlated, and although the exact effects of these correlations are not known, it is known that they can be large. Here, we review studies that address the interaction between neuronal noise and population codes, and discuss their implications for population coding in general.

Entities:  

Mesh:

Year:  2006        PMID: 16760916     DOI: 10.1038/nrn1888

Source DB:  PubMed          Journal:  Nat Rev Neurosci        ISSN: 1471-003X            Impact factor:   34.870


  593 in total

1.  Sound-identity processing in early areas of the auditory ventral stream in the macaque.

Authors:  Paweł Kuśmierek; Michael Ortiz; Josef P Rauschecker
Journal:  J Neurophysiol       Date:  2011-11-30       Impact factor: 2.714

2.  Accurately estimating neuronal correlation requires a new spike-sorting paradigm.

Authors:  Valérie Ventura; Richard C Gerkin
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-23       Impact factor: 11.205

3.  Low error discrimination using a correlated population code.

Authors:  Greg Schwartz; Jakob Macke; Dario Amodei; Hanlin Tang; Michael J Berry
Journal:  J Neurophysiol       Date:  2012-04-25       Impact factor: 2.714

4.  Correlated neural variability in persistent state networks.

Authors:  Amber Polk; Ashok Litwin-Kumar; Brent Doiron
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-02       Impact factor: 11.205

5.  Disentangling the functional consequences of the connectivity between optic-flow processing neurons.

Authors:  Franz Weber; Christian K Machens; Alexander Borst
Journal:  Nat Neurosci       Date:  2012-02-12       Impact factor: 24.884

6.  A-current and type I/type II transition determine collective spiking from common input.

Authors:  Andrea K Barreiro; Evan L Thilo; Eric Shea-Brown
Journal:  J Neurophysiol       Date:  2012-06-06       Impact factor: 2.714

7.  Small Networks Encode Decision-Making in Primary Auditory Cortex.

Authors:  Nikolas A Francis; Daniel E Winkowski; Alireza Sheikhattar; Kevin Armengol; Behtash Babadi; Patrick O Kanold
Journal:  Neuron       Date:  2018-02-01       Impact factor: 17.173

Review 8.  Technologies for imaging neural activity in large volumes.

Authors:  Na Ji; Jeremy Freeman; Spencer L Smith
Journal:  Nat Neurosci       Date:  2016-08-26       Impact factor: 24.884

9.  Local and Global Influences of Visual Spatial Selection and Locomotion in Mouse Primary Visual Cortex.

Authors:  Ethan G McBride; Su-Yee J Lee; Edward M Callaway
Journal:  Curr Biol       Date:  2019-05-02       Impact factor: 10.834

10.  DataHigh: graphical user interface for visualizing and interacting with high-dimensional neural activity.

Authors:  Benjamin R Cowley; Matthew T Kaufman; Zachary S Butler; Mark M Churchland; Stephen I Ryu; Krishna V Shenoy; Byron M Yu
Journal:  J Neural Eng       Date:  2013-11-12       Impact factor: 5.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.