Literature DB >> 14622585

The information content of receptive fields.

Thomas L Adelman1, William Bialek, Robert M Olberg.   

Abstract

The nervous system must observe a complex world and produce appropriate, sometimes complex, behavioral responses. In contrast to this complexity, neural responses are often characterized through very simple descriptions such as receptive fields or tuning curves. Do these characterizations adequately reflect the true dimensionality reduction that takes place in the nervous system, or are they merely convenient oversimplifications? Here we address this question for the target-selective descending neurons (TSDNs) of the dragonfly. Using extracellular multielectrode recordings of a population of TSDNs, we quantify the completeness of the receptive field description of these cells and conclude that the information in independent instantaneous position and velocity receptive fields accounts for 70%-90% of the total information in single spikes. Thus, we demonstrate that this simple receptive field model is close to a complete description of the features in the stimulus that evoke TSDN response.

Mesh:

Year:  2003        PMID: 14622585     DOI: 10.1016/s0896-6273(03)00680-9

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  25 in total

1.  Characterizing responses of translation-invariant neurons to natural stimuli: maximally informative invariant dimensions.

Authors:  Michael Eickenberg; Ryan J Rowekamp; Minjoon Kouh; Tatyana O Sharpee
Journal:  Neural Comput       Date:  2012-06-26       Impact factor: 2.026

2.  Contributions of Ih to feature selectivity in layer II stellate cells of the entorhinal cortex.

Authors:  Julie S Haas; Alan D Dorval; John A White
Journal:  J Comput Neurosci       Date:  2007-04       Impact factor: 1.621

3.  On the importance of static nonlinearity in estimating spatiotemporal neural filters with natural stimuli.

Authors:  Tatyana O Sharpee; Kenneth D Miller; Michael P Stryker
Journal:  J Neurophysiol       Date:  2008-03-19       Impact factor: 2.714

4.  Preserving information in neural transmission.

Authors:  Lawrence C Sincich; Jonathan C Horton; Tatyana O Sharpee
Journal:  J Neurosci       Date:  2009-05-13       Impact factor: 6.167

5.  Probing feature selectivity of neurons in primary visual cortex with natural stimuli.

Authors:  T Sharpee; H Sugihara; A V Kurgansky; S Rebrik; M P Stryker; K D Miller
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2004

6.  Correlations between groups of premotor neurons carry information about prehension.

Authors:  Eran Stark; Amir Globerson; Itay Asher; Moshe Abeles
Journal:  J Neurosci       Date:  2008-10-15       Impact factor: 6.167

7.  Receptive field properties of neurons in the electrosensory lateral line lobe of the weakly electric fish, Gnathonemus petersii.

Authors:  Michael G Metzen; Jacob Engelmann; João Bacelo; Kirsty Grant; Gerhard von der Emde
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2008-10-15       Impact factor: 1.836

Review 8.  Computational identification of receptive fields.

Authors:  Tatyana O Sharpee
Journal:  Annu Rev Neurosci       Date:  2013-07-08       Impact factor: 12.449

9.  Cooperative nonlinearities in auditory cortical neurons.

Authors:  Craig A Atencio; Tatyana O Sharpee; Christoph E Schreiner
Journal:  Neuron       Date:  2008-06-26       Impact factor: 17.173

10.  Two-dimensional adaptation in the auditory forebrain.

Authors:  Tatyana O Sharpee; Katherine I Nagel; Allison J Doupe
Journal:  J Neurophysiol       Date:  2011-07-13       Impact factor: 2.714

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