Literature DB >> 15338009

The contribution of spike threshold to the dichotomy of cortical simple and complex cells.

Nicholas J Priebe1, Ferenc Mechler, Matteo Carandini, David Ferster.   

Abstract

The existence of two classes of cells, simple and complex, discovered by Hubel and Wiesel in 1962, is one of the fundamental features of cat primary visual cortex. A quantitative measure used to distinguish simple and complex cells is the ratio between modulated and unmodulated components of spike responses to drifting gratings, an index that forms a bimodal distribution. We have found that the modulation ratio, when derived from the subthreshold membrane potential instead of from spike rate, is unimodally distributed, but highly skewed. The distribution of the modulation ratio as derived from spike rate can, in turn, be predicted quantitatively by the nonlinear properties of spike threshold applied to the skewed distribution of the subthreshold modulation ratio. Threshold also increases the spatial segregation of ON and OFF regions of the receptive field, a defining attribute of simple cells. The distinction between simple and complex cells is therefore enhanced by threshold, much like the selectivity for stimulus features such as orientation and direction. In this case, however, a continuous distribution in the spatial organization of synaptic inputs is transformed into two distinct classes of cells.

Mesh:

Year:  2004        PMID: 15338009      PMCID: PMC2915829          DOI: 10.1038/nn1310

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


  44 in total

1.  Construction of complex receptive fields in cat primary visual cortex.

Authors:  L M Martinez; J M Alonso
Journal:  Neuron       Date:  2001-11-08       Impact factor: 17.173

2.  Synaptic physiology of the flow of information in the cat's visual cortex in vivo.

Authors:  Judith A Hirsch; Luis M Martinez; José-Manuel Alonso; Komal Desai; Cinthi Pillai; Carhine Pierre
Journal:  J Physiol       Date:  2002-04-01       Impact factor: 5.182

Review 3.  On the classification of simple and complex cells.

Authors:  Ferenc Mechler; Dario L Ringach
Journal:  Vision Res       Date:  2002-04       Impact factor: 1.886

4.  An egalitarian network model for the emergence of simple and complex cells in visual cortex.

Authors:  Louis Tao; Michael Shelley; David McLaughlin; Robert Shapley
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-26       Impact factor: 11.205

5.  How noise contributes to contrast invariance of orientation tuning in cat visual cortex.

Authors:  D Hansel; C van Vreeswijk
Journal:  J Neurosci       Date:  2002-06-15       Impact factor: 6.167

6.  Laminar differences in receptive field properties of cells in cat primary visual cortex.

Authors:  C D Gilbert
Journal:  J Physiol       Date:  1977-06       Impact factor: 5.182

7.  Receptive fields and functional architecture of monkey striate cortex.

Authors:  D H Hubel; T N Wiesel
Journal:  J Physiol       Date:  1968-03       Impact factor: 5.182

8.  Quantitative studies of single-cell properties in monkey striate cortex. I. Spatiotemporal organization of receptive fields.

Authors:  P H Schiller; B L Finlay; S F Volman
Journal:  J Neurophysiol       Date:  1976-11       Impact factor: 2.714

9.  Spatial vision.

Authors:  R L De Valois; K K De Valois
Journal:  Annu Rev Psychol       Date:  1980       Impact factor: 24.137

10.  Receptive field organization of complex cells in the cat's striate cortex.

Authors:  J A Movshon; I D Thompson; D J Tolhurst
Journal:  J Physiol       Date:  1978-10       Impact factor: 5.182

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  102 in total

1.  Mathematical equivalence of two common forms of firing rate models of neural networks.

Authors:  Kenneth D Miller; Francesco Fumarola
Journal:  Neural Comput       Date:  2011-10-24       Impact factor: 2.026

2.  The accuracy of membrane potential reconstruction based on spiking receptive fields.

Authors:  Deepankar Mohanty; Benjamin Scholl; Nicholas J Priebe
Journal:  J Neurophysiol       Date:  2012-01-25       Impact factor: 2.714

3.  Logarithmic compression of sensory signals within the dendritic tree of a collision-sensitive neuron.

Authors:  Peter W Jones; Fabrizio Gabbiani
Journal:  J Neurosci       Date:  2012-04-04       Impact factor: 6.167

4.  The relationship between voltage-sensitive dye imaging signals and spiking activity of neural populations in primate V1.

Authors:  Yuzhi Chen; Chris R Palmer; Eyal Seidemann
Journal:  J Neurophysiol       Date:  2012-03-14       Impact factor: 2.714

5.  Mechanisms of direction selectivity in cat primary visual cortex as revealed by visual adaptation.

Authors:  Nicholas J Priebe; Ilan Lampl; David Ferster
Journal:  J Neurophysiol       Date:  2010-08-25       Impact factor: 2.714

6.  Complex cell receptive fields: evidence for a hierarchical mechanism.

Authors:  Joshua P van Kleef; Shaun L Cloherty; Michael R Ibbotson
Journal:  J Physiol       Date:  2010-07-26       Impact factor: 5.182

7.  Distinct AMPA-type glutamatergic synapses in developing rat CA1 hippocampus.

Authors:  Elizabeth A Stubblefield; Tim A Benke
Journal:  J Neurophysiol       Date:  2010-08-04       Impact factor: 2.714

8.  Subthreshold membrane conductances enhance directional selectivity in vertebrate sensory neurons.

Authors:  Maurice J Chacron; Eric S Fortune
Journal:  J Neurophysiol       Date:  2010-05-05       Impact factor: 2.714

9.  Cross- and auto-correlation in early vision.

Authors:  Horace Barlow; David L Berry
Journal:  Proc Biol Sci       Date:  2010-12-08       Impact factor: 5.349

10.  Population receptive fields of ON and OFF thalamic inputs to an orientation column in visual cortex.

Authors:  Jianzhong Jin; Yushi Wang; Harvey A Swadlow; Jose M Alonso
Journal:  Nat Neurosci       Date:  2011-01-09       Impact factor: 24.884

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