Literature DB >> 22841307

From functional architecture to functional connectomics.

R Clay Reid1.   

Abstract

"Receptive Fields, Binocular Interaction and Functional Architecture in the Cat's Visual Cortex" by Hubel and Wiesel (1962) reported several important discoveries: orientation columns, the distinct structures of simple and complex receptive fields, and binocular integration. But perhaps the paper's greatest influence came from the concept of functional architecture (the complex relationship between in vivo physiology and the spatial arrangement of neurons) and several models of functionally specific connectivity. They thus identified two distinct concepts, topographic specificity and functional specificity, which together with cell-type specificity constitute the major determinants of nonrandom cortical connectivity. Orientation columns are iconic examples of topographic specificity, whereby axons within a column connect with cells of a single orientation preference. Hubel and Wiesel also saw the need for functional specificity at a finer scale in their model of thalamic inputs to simple cells, verified in the 1990s. The difficult but potentially more important question of functional specificity between cortical neurons is only now becoming tractable with new experimental techniques.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22841307      PMCID: PMC3876951          DOI: 10.1016/j.neuron.2012.06.031

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


  61 in total

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2.  Functional imaging with cellular resolution reveals precise micro-architecture in visual cortex.

Authors:  Kenichi Ohki; Sooyoung Chung; Yeang H Ch'ng; Prakash Kara; R Clay Reid
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Review 3.  Neurogeometry and potential synaptic connectivity.

Authors:  Armen Stepanyants; Dmitri B Chklovskii
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4.  Microprisms for in vivo multilayer cortical imaging.

Authors:  Thomas H Chia; Michael J Levene
Journal:  J Neurophysiol       Date:  2009-06-03       Impact factor: 2.714

5.  Paired-spike interactions and synaptic efficacy of retinal inputs to the thalamus.

Authors:  W M Usrey; J B Reppas; R C Reid
Journal:  Nature       Date:  1998-09-24       Impact factor: 49.962

6.  Two-photon calcium imaging of evoked activity from L5 somatosensory neurons in vivo.

Authors:  Wolfgang Mittmann; Damian J Wallace; Uwe Czubayko; Jan T Herb; Andreas T Schaefer; Loren L Looger; Winfried Denk; Jason N D Kerr
Journal:  Nat Neurosci       Date:  2011-07-10       Impact factor: 24.884

7.  The neuronal composition of area 17 of rat visual cortex. IV. The organization of pyramidal cells.

Authors:  A Peters; D A Kara
Journal:  J Comp Neurol       Date:  1987-06-22       Impact factor: 3.215

8.  Two classes of single-input X-cells in cat lateral geniculate nucleus. II. Retinal inputs and the generation of receptive-field properties.

Authors:  D N Mastronarde
Journal:  J Neurophysiol       Date:  1987-02       Impact factor: 2.714

9.  Chronic cellular imaging of mouse visual cortex during operant behavior and passive viewing.

Authors:  Mark L Andermann; A M Kerlin; R C Reid
Journal:  Front Cell Neurosci       Date:  2010-03-12       Impact factor: 5.505

Review 10.  Machines that learn to segment images: a crucial technology for connectomics.

Authors:  Viren Jain; H Sebastian Seung; Srinivas C Turaga
Journal:  Curr Opin Neurobiol       Date:  2010-10       Impact factor: 6.627

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  30 in total

1.  Spontaneous cortical activity alternates between motifs defined by regional axonal projections.

Authors:  Majid H Mohajerani; Allen W Chan; Mostafa Mohsenvand; Jeffrey LeDue; Rui Liu; David A McVea; Jamie D Boyd; Yu Tian Wang; Mark Reimers; Timothy H Murphy
Journal:  Nat Neurosci       Date:  2013-08-25       Impact factor: 24.884

Review 2.  Weighing the Evidence in Peters' Rule: Does Neuronal Morphology Predict Connectivity?

Authors:  Christopher L Rees; Keivan Moradi; Giorgio A Ascoli
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3.  Structural Connectivity Fingerprints Predict Cortical Selectivity for Multiple Visual Categories across Cortex.

Authors:  David E Osher; Rebecca R Saxe; Kami Koldewyn; John D E Gabrieli; Nancy Kanwisher; Zeynep M Saygin
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4.  Long-range intralaminar noise correlations in the barrel cortex.

Authors:  Vicente Reyes-Puerta; Yael Amitai; Jyh-Jang Sun; Itamar Shani; Heiko J Luhmann; Maoz Shamir
Journal:  J Neurophysiol       Date:  2015-03-18       Impact factor: 2.714

Review 5.  Neuronal cell-type classification: challenges, opportunities and the path forward.

Authors:  Hongkui Zeng; Joshua R Sanes
Journal:  Nat Rev Neurosci       Date:  2017-08-03       Impact factor: 34.870

6.  Visual stimuli recruit intrinsically generated cortical ensembles.

Authors:  Jae-eun Kang Miller; Inbal Ayzenshtat; Luis Carrillo-Reid; Rafael Yuste
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-08       Impact factor: 11.205

7.  Connectomic constraints on computation in feedforward networks of spiking neurons.

Authors:  Venkatakrishnan Ramaswamy; Arunava Banerjee
Journal:  J Comput Neurosci       Date:  2014-04-03       Impact factor: 1.621

8.  Multilaminar networks of cortical neurons integrate common inputs from sensory thalamus.

Authors:  Nicolás A Morgenstern; Jacques Bourg; Leopoldo Petreanu
Journal:  Nat Neurosci       Date:  2016-07-04       Impact factor: 24.884

9.  Reinforcement learning of two-joint virtual arm reaching in a computer model of sensorimotor cortex.

Authors:  Samuel A Neymotin; George L Chadderdon; Cliff C Kerr; Joseph T Francis; William W Lytton
Journal:  Neural Comput       Date:  2013-09-18       Impact factor: 2.026

Review 10.  Development and plasticity of the primary visual cortex.

Authors:  J Sebastian Espinosa; Michael P Stryker
Journal:  Neuron       Date:  2012-07-26       Impact factor: 17.173

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