Literature DB >> 23434978

Reading and writing the neural code.

Garrett B Stanley1.   

Abstract

It has been more than 20 years since Bialek and colleagues published a landmark paper asking a seemingly innocuous question: what can we extract about the outside world from the spiking activity of sensory neurons? Can we read the neural code? Although this seemingly simple question has helped us shed light on the neural code, we still do not understand the anatomical and neurophysiological constraints that enable these codes to propagate across synapses and form the basis for computations that we need to interact with our environment. The sensitivity of neuronal activity to the timing of synaptic inputs naturally suggests that synchrony determines the form of the neural code, and, in turn, regulation of synchrony is a critical element in 'writing' the neural code through the artificial control of microcircuits to activate downstream structures. In this way, reading and writing the neural code are inextricably linked.

Mesh:

Year:  2013        PMID: 23434978     DOI: 10.1038/nn.3330

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  49 in total

1.  A wake-up call from the thalamus.

Authors:  S M Sherman
Journal:  Nat Neurosci       Date:  2001-04       Impact factor: 24.884

2.  Rate coding versus temporal order coding: what the retinal ganglion cells tell the visual cortex.

Authors:  R Van Rullen; S J Thorpe
Journal:  Neural Comput       Date:  2001-06       Impact factor: 2.026

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Authors:  K H Britten; M N Shadlen; W T Newsome; J A Movshon
Journal:  J Neurosci       Date:  1992-12       Impact factor: 6.167

4.  Rapid neural coding in the retina with relative spike latencies.

Authors:  Tim Gollisch; Markus Meister
Journal:  Science       Date:  2008-02-22       Impact factor: 47.728

Review 5.  Extracting information from neuronal populations: information theory and decoding approaches.

Authors:  Rodrigo Quian Quiroga; Stefano Panzeri
Journal:  Nat Rev Neurosci       Date:  2009-03       Impact factor: 34.870

6.  The effect of correlated variability on the accuracy of a population code.

Authors:  L F Abbott; P Dayan
Journal:  Neural Comput       Date:  1999-01-01       Impact factor: 2.026

7.  Gating of sensory input at spinal and cortical levels during preparation and execution of voluntary movement.

Authors:  Kazuhiko Seki; Eberhard E Fetz
Journal:  J Neurosci       Date:  2012-01-18       Impact factor: 6.167

8.  A theory for the use of visual orientation information which exploits the columnar structure of striate cortex.

Authors:  M A Paradiso
Journal:  Biol Cybern       Date:  1988       Impact factor: 2.086

9.  Spatial and temporal scales of neuronal correlation in primary visual cortex.

Authors:  Matthew A Smith; Adam Kohn
Journal:  J Neurosci       Date:  2008-11-26       Impact factor: 6.167

10.  Stability of thalamocortical synaptic transmission across awake brain states.

Authors:  Carl R Stoelzel; Yulia Bereshpolova; Harvey A Swadlow
Journal:  J Neurosci       Date:  2009-05-27       Impact factor: 6.167

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  39 in total

Review 1.  A Tutorial for Information Theory in Neuroscience.

Authors:  Nicholas M Timme; Christopher Lapish
Journal:  eNeuro       Date:  2018-09-11

2.  Adaptive shaping of cortical response selectivity in the vibrissa pathway.

Authors:  He J V Zheng; Qi Wang; Garrett B Stanley
Journal:  J Neurophysiol       Date:  2015-03-18       Impact factor: 2.714

3.  Feedforward Thalamocortical Connectivity Preserves Stimulus Timing Information in Sensory Pathways.

Authors:  Hsi-Ping Wang; Jonathan W Garcia; Carl F Sabottke; Donald J Spencer; Terrence J Sejnowski
Journal:  J Neurosci       Date:  2019-07-03       Impact factor: 6.167

4.  Emergence of Binocular Disparity Selectivity through Hebbian Learning.

Authors:  Tushar Chauhan; Timothée Masquelier; Alexandre Montlibert; Benoit R Cottereau
Journal:  J Neurosci       Date:  2018-09-21       Impact factor: 6.167

5.  Stimulation of Individual Neurons Is Sufficient to Influence Sensory-Guided Decision-Making.

Authors:  Matthew J Buchan; James M Rowland
Journal:  J Neurosci       Date:  2018-07-25       Impact factor: 6.167

6.  Edge-orientation processing in first-order tactile neurons.

Authors:  J Andrew Pruszynski; Roland S Johansson
Journal:  Nat Neurosci       Date:  2014-08-31       Impact factor: 24.884

7.  Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis.

Authors:  S Dura-Bernal; S A Neymotin; C C Kerr; S Sivagnanam; A Majumdar; J T Francis; W W Lytton
Journal:  IBM J Res Dev       Date:  2017-05-23       Impact factor: 1.889

8.  The adaptive trade-off between detection and discrimination in cortical representations and behavior.

Authors:  Douglas R Ollerenshaw; He J V Zheng; Daniel C Millard; Qi Wang; Garrett B Stanley
Journal:  Neuron       Date:  2014-03-05       Impact factor: 17.173

9.  Stable long-term chronic brain mapping at the single-neuron level.

Authors:  Tian-Ming Fu; Guosong Hong; Tao Zhou; Thomas G Schuhmann; Robert D Viveros; Charles M Lieber
Journal:  Nat Methods       Date:  2016-08-29       Impact factor: 28.547

10.  Adding dynamics to the Human Connectome Project with MEG.

Authors:  L J Larson-Prior; R Oostenveld; S Della Penna; G Michalareas; F Prior; A Babajani-Feremi; J-M Schoffelen; L Marzetti; F de Pasquale; F Di Pompeo; J Stout; M Woolrich; Q Luo; R Bucholz; P Fries; V Pizzella; G L Romani; M Corbetta; A Z Snyder
Journal:  Neuroimage       Date:  2013-05-20       Impact factor: 6.556

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