Literature DB >> 11665765

Spike-based strategies for rapid processing.

S Thorpe1, A Delorme, R Van Rullen.   

Abstract

Most experimental and theoretical studies of brain function assume that neurons transmit information as a rate code, but recent studies on the speed of visual processing impose temporal constraints that appear incompatible with such a coding scheme. Other coding schemes that use the pattern of spikes across a population a neurons may be much more efficient. For example, since strongly activated neurons tend to fire first, one can use the order of firing as a code. We argue that Rank Order Coding is not only very efficient, but also easy to implement in biological hardware: neurons can be made sensitive to the order of activation of their inputs by including a feed-forward shunting inhibition mechanism that progressively desensitizes the neuronal population during a wave of afferent activity. In such a case, maximum activation will only be produced when the afferent inputs are activated in the order of their synaptic weights.

Mesh:

Year:  2001        PMID: 11665765     DOI: 10.1016/s0893-6080(01)00083-1

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  91 in total

Review 1.  Presynaptic frequency- and pattern-dependent filtering.

Authors:  Alex M Thomson
Journal:  J Comput Neurosci       Date:  2003 Sep-Oct       Impact factor: 1.621

2.  Running as fast as it can: how spiking dynamics form object groupings in the laminar circuits of visual cortex.

Authors:  Jasmin Léveillé; Massimiliano Versace; Stephen Grossberg
Journal:  J Comput Neurosci       Date:  2010-01-29       Impact factor: 1.621

3.  Subset of thin spike cortical neurons preserve the peripheral encoding of stimulus onsets.

Authors:  Frank G Lin; Robert C Liu
Journal:  J Neurophysiol       Date:  2010-10-13       Impact factor: 2.714

4.  Odor representations in olfactory cortex: distributed rate coding and decorrelated population activity.

Authors:  Keiji Miura; Zachary F Mainen; Naoshige Uchida
Journal:  Neuron       Date:  2012-06-21       Impact factor: 17.173

5.  The functional asymmetry of ON and OFF channels in the perception of contrast.

Authors:  Yaoguang Jiang; Gopathy Purushothaman; Vivien A Casagrande
Journal:  J Neurophysiol       Date:  2015-09-02       Impact factor: 2.714

6.  Using an Hebbian learning rule for multi-class SVM classifiers.

Authors:  Thierry Viéville; Sylvie Crahay
Journal:  J Comput Neurosci       Date:  2004 Nov-Dec       Impact factor: 1.621

7.  Temporal precision of neuronal information in a rapid perceptual judgment.

Authors:  Geoffrey M Ghose; Ian T Harrison
Journal:  J Neurophysiol       Date:  2008-12-24       Impact factor: 2.714

8.  Computational role of large receptive fields in the primary somatosensory cortex.

Authors:  Guglielmo Foffani; John K Chapin; Karen A Moxon
Journal:  J Neurophysiol       Date:  2008-04-09       Impact factor: 2.714

9.  A generative spike train model with time-structured higher order correlations.

Authors:  James Trousdale; Yu Hu; Eric Shea-Brown; Krešimir Josić
Journal:  Front Comput Neurosci       Date:  2013-07-17       Impact factor: 2.380

10.  Spike count, spike timing and temporal information in the cortex of awake, freely moving rats.

Authors:  Alessandro Scaglione; Guglielmo Foffani; Karen A Moxon
Journal:  J Neural Eng       Date:  2014-07-15       Impact factor: 5.379

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