Literature DB >> 10370254

Gauging sensory representations in the brain.

G T Buracas1, T D Albright.   

Abstract

The stream of information that enters a sensory system is a product of the ecological niche of an organism and the way in which the information is sampled. The most salient characteristic of this sensory stream is the rich temporal structure that is caused by changes in the environment and self motion of sensors (for example, rapid eye or whisker movements). In recent years, substantial progress has been made in understanding how such rapidly varying stimuli are represented in the responses of sensory neurons of a large variety of sensory systems. The crucial observation that has emerged from these studies is that individual action potentials convey substantial amounts of information, which permits the discrimination of rapidly varying stimuli with high temporal precision.

Mesh:

Year:  1999        PMID: 10370254     DOI: 10.1016/s0166-2236(98)01376-9

Source DB:  PubMed          Journal:  Trends Neurosci        ISSN: 0166-2236            Impact factor:   13.837


  15 in total

1.  Interspike intervals, receptive fields, and information encoding in primary visual cortex.

Authors:  D S Reich; F Mechler; K P Purpura; J D Victor
Journal:  J Neurosci       Date:  2000-03-01       Impact factor: 6.167

2.  Neural coding with graded membrane potential changes and spikes.

Authors:  J Kretzberg; A K Warzecha; M Egelhaaf
Journal:  J Comput Neurosci       Date:  2001 Sep-Oct       Impact factor: 1.621

3.  Negative interspike interval correlations increase the neuronal capacity for encoding time-dependent stimuli.

Authors:  M J Chacron; A Longtin; L Maler
Journal:  J Neurosci       Date:  2001-07-15       Impact factor: 6.167

4.  Motion perception of saccade-induced retinal translation.

Authors:  Eric Castet; Sébastien Jeanjean; Guillaume S Masson
Journal:  Proc Natl Acad Sci U S A       Date:  2002-11-04       Impact factor: 11.205

5.  Continuous detection of weak sensory signals in afferent spike trains: the role of anti-correlated interspike intervals in detection performance.

Authors:  J B M Goense; R Ratnam
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2003-08-14       Impact factor: 1.836

6.  A model-based approach for the analysis of neuronal information transmission in multi-input and -output systems.

Authors:  M Eger; R Eckhorn
Journal:  J Comput Neurosci       Date:  2002 May-Jun       Impact factor: 1.621

7.  Assessing the encoding of stimulus attributes with rapid sequences of stimulus events.

Authors:  M Eger; R Eckhorn
Journal:  J Comput Neurosci       Date:  2002 Nov-Dec       Impact factor: 1.621

8.  Neuronal variability of MSTd neurons changes differentially with eye movement and visually related variables.

Authors:  Lukas Brostek; Ulrich Büttner; Michael J Mustari; Stefan Glasauer
Journal:  Cereb Cortex       Date:  2012-07-06       Impact factor: 5.357

9.  Network variability limits stimulus-evoked spike timing precision in retinal ganglion cells.

Authors:  Gabe J Murphy; Fred Rieke
Journal:  Neuron       Date:  2006-11-09       Impact factor: 17.173

10.  Implications on cerebellar function from information coding.

Authors:  Chiming Huang
Journal:  Cerebellum       Date:  2008       Impact factor: 3.847

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