Literature DB >> 9592109

Translation-invariant orientation tuning in visual "complex" cells could derive from intradendritic computations.

B W Mel1, D L Ruderman, K A Archie.   

Abstract

first distinguished "simple" from "complex" cells in visual cortex and proposed a processing hierarchy in which rows of LGN cells are pooled to drive oriented simple cell subunits, which are pooled in turn to drive complex cells. Although parsimonious and highly influential, the pure hierarchical model has since been challenged by results indicating that many complex cells receive excitatory monosynaptic input from LGN cells or do not depend on simple cell input. Alternative accounts of complex cell orientation tuning remain scant, however, and the function of monosynaptic LGN contacts onto complex cell dendrites remains unknown. We have used a biophysically detailed compartmental model to investigate whether nonlinear integration of LGN synaptic inputs within the dendrites of individual pyramidal cells could contribute to complex-cell receptive field structure. We show that an isolated cortical neuron with "active" dendrites, driven only by excitatory inputs from overlapping ON- and OFF-center LGN subfields, can produce clear phase-invariant orientation tuning-a hallmark response characteristic of a complex cell. The tuning is shown to depend critically both on the spatial arrangement of LGN synaptic contacts across the complex cell dendritic tree, established by a Hebbian developmental principle, and on the physiological efficacy of excitatory voltage-dependent dendritic ion channels. We conclude that unoriented LGN inputs to a complex cell could contribute in a significant way to its orientation tuning, acting in concert with oriented inputs to the same cell provided by simple cells or other complex cells. As such, our model provides a novel, experimentally testable hypothesis regarding the basis of orientation tuning in the complex cell population, and more generally underscores the potential importance of nonlinear intradendritic subunit processing in cortical neurophysiology.

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Substances:

Year:  1998        PMID: 9592109      PMCID: PMC6792789     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  57 in total

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Authors:  A U Larkman
Journal:  J Comp Neurol       Date:  1991-04-08       Impact factor: 3.215

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Journal:  J Neurophysiol       Date:  1976-05       Impact factor: 2.714

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Authors:  B C Skottun; D H Grosof; R L De Valois
Journal:  J Neurophysiol       Date:  1988-06       Impact factor: 2.714

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Journal:  Brain Res       Date:  1971-09-24       Impact factor: 3.252

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Authors:  M Ito; H Tamura; I Fujita; K Tanaka
Journal:  J Neurophysiol       Date:  1995-01       Impact factor: 2.714

6.  Synaptic integration in an excitable dendritic tree.

Authors:  B W Mel
Journal:  J Neurophysiol       Date:  1993-09       Impact factor: 2.714

7.  Apical dendrites of the neocortex: correlation between sodium- and calcium-dependent spiking and pyramidal cell morphology.

Authors:  H G Kim; B W Connors
Journal:  J Neurosci       Date:  1993-12       Impact factor: 6.167

8.  The effect of visual experience on development of NMDA receptor synaptic transmission in kitten visual cortex.

Authors:  K Fox; N Daw; H Sato; D Czepita
Journal:  J Neurosci       Date:  1992-07       Impact factor: 6.167

9.  Spatial profile of dendritic calcium transients evoked by action potentials in rat neocortical pyramidal neurones.

Authors:  J Schiller; F Helmchen; B Sakmann
Journal:  J Physiol       Date:  1995-09-15       Impact factor: 5.182

10.  The effect of varying stimulus intensity on NMDA-receptor activity in cat visual cortex.

Authors:  K Fox; H Sato; N Daw
Journal:  J Neurophysiol       Date:  1990-11       Impact factor: 2.714

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  37 in total

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Authors:  M Carandini; D Ferster
Journal:  J Neurosci       Date:  2000-01-01       Impact factor: 6.167

2.  Computational subunits of visual cortical neurons revealed by artificial neural networks.

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Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-11       Impact factor: 11.205

3.  Substructure of direction-selective receptive fields in macaque V1.

Authors:  Margaret S Livingstone; Bevil R Conway
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Review 4.  Complex receptive fields in primary visual cortex.

Authors:  Luis M Martinez; Jose-Manuel Alonso
Journal:  Neuroscientist       Date:  2003-10       Impact factor: 7.519

5.  Early cortical orientation selectivity: how fast inhibition decodes the order of spike latencies.

Authors:  A Delorme
Journal:  J Comput Neurosci       Date:  2003 Nov-Dec       Impact factor: 1.621

6.  Invariant Visual Object and Face Recognition: Neural and Computational Bases, and a Model, VisNet.

Authors:  Edmund T Rolls
Journal:  Front Comput Neurosci       Date:  2012-06-19       Impact factor: 2.380

7.  Spatio-temporal filtering properties of a dendritic cable with active spines: a modeling study in the spike-diffuse-spike framework.

Authors:  Yulia Timofeeva; Gabriel J Lord; Stephen Coombes
Journal:  J Comput Neurosci       Date:  2006-07-28       Impact factor: 1.621

8.  Influence of electrotonic structure and synaptic mapping on the receptive field properties of a collision-detecting neuron.

Authors:  Simon P Peron; Holger G Krapp; Fabrizio Gabbiani
Journal:  J Neurophysiol       Date:  2006-10-04       Impact factor: 2.714

9.  Standing waves and traveling waves distinguish two circuits in visual cortex.

Authors:  Andrea Benucci; Robert A Frazor; Matteo Carandini
Journal:  Neuron       Date:  2007-07-05       Impact factor: 17.173

10.  Computing local edge probability in natural scenes from a population of oriented simple cells.

Authors:  Chaithanya A Ramachandra; Bartlett W Mel
Journal:  J Vis       Date:  2013-12-31       Impact factor: 2.240

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