Literature DB >> 10196530

Functional connectivity between simple cells and complex cells in cat striate cortex.

J M Alonso1, L M Martinez.   

Abstract

In the cat primary visual cortex, neurons are classified into the two main categories of simple cells and complex cells based on their response properties. According to the hierarchical model, complex receptive fields derive from convergent inputs of simple cells with similar orientation preferences. This model received strong support from anatomical studies showing that many complex cells lie within the range of layer IV simple-cell axons but outside the range of most thalamic axons. Physiological evidence for the model, however, has remained elusive. Here we demonstrate that layer IV simple cells and layer II and III complex cells show correlated firing consistent with monosynaptic connections. As expected from the hierarchical model, all connections were in the direction from the simple cell to the complex cell, most frequently between cells with similar orientation preferences.

Mesh:

Year:  1998        PMID: 10196530     DOI: 10.1038/1609

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


  82 in total

1.  The subregion correspondence model of binocular simple cells.

Authors:  E Erwin; K D Miller
Journal:  J Neurosci       Date:  1999-08-15       Impact factor: 6.167

2.  Noise in neurons is message dependent.

Authors:  G A Cecchi; M Sigman; J M Alonso; L Martínez; D R Chialvo; M O Magnasco
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-09       Impact factor: 11.205

3.  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

4.  Laminar processing of stimulus orientation in cat visual cortex.

Authors:  Luis M Martinez; José-Manuel Alonso; R Clay Reid; Judith A Hirsch
Journal:  J Physiol       Date:  2002-04-01       Impact factor: 5.182

5.  Rules of connectivity between geniculate cells and simple cells in cat primary visual cortex.

Authors:  J M Alonso; W M Usrey; R C Reid
Journal:  J Neurosci       Date:  2001-06-01       Impact factor: 6.167

6.  Coding specificity in cortical microcircuits: a multiple-electrode analysis of primate prefrontal cortex.

Authors:  C Constantinidis; M N Franowicz; P S Goldman-Rakic
Journal:  J Neurosci       Date:  2001-05-15       Impact factor: 6.167

7.  Precision Calcium Imaging of Dense Neural Populations via a Cell-Body-Targeted Calcium Indicator.

Authors:  Or A Shemesh; Changyang Linghu; Kiryl D Piatkevich; Daniel Goodwin; Orhan Tunc Celiker; Howard J Gritton; Michael F Romano; Ruixuan Gao; Chih-Chieh Jay Yu; Hua-An Tseng; Seth Bensussen; Sujatha Narayan; Chao-Tsung Yang; Limor Freifeld; Cody A Siciliano; Ishan Gupta; Joyce Wang; Nikita Pak; Young-Gyu Yoon; Jeremy F P Ullmann; Burcu Guner-Ataman; Habiba Noamany; Zoe R Sheinkopf; Won Min Park; Shoh Asano; Amy E Keating; James S Trimmer; Jacob Reimer; Andreas S Tolias; Mark F Bear; Kay M Tye; Xue Han; Misha B Ahrens; Edward S Boyden
Journal:  Neuron       Date:  2020-06-26       Impact factor: 17.173

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

Authors:  Brian Lau; Garrett B Stanley; Yang Dan
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-11       Impact factor: 11.205

Review 9.  Complex receptive fields in primary visual cortex.

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

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

Authors:  Nicholas J Priebe; Ferenc Mechler; Matteo Carandini; David Ferster
Journal:  Nat Neurosci       Date:  2004-08-29       Impact factor: 24.884

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