Journal ArticleDOI
Neuronal circuits of the neocortex
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TLDR
It is found that, as has long been suspected by cortical neuroanatomists, the same basic laminar and tangential organization of the excitatory neurons of the neocortex is evident wherever it has been sought.Abstract:
We explore the extent to which neocortical circuits generalize, i.e., to what extent can neocortical neurons and the circuits they form be considered as canonical? We find that, as has long been suspected by cortical neuroanatomists, the same basic laminar and tangential organization of the excitatory neurons of the neocortex is evident wherever it has been sought. Similarly, the inhibitory neurons show characteristic morphology and patterns of connections throughout the neocortex. We offer a simple model of cortical processing that is consistent with the major features of cortical circuits: The superficial layer neurons within local patches of cortex, and within areas, cooperate to explore all possible interpretations of different cortical input and cooperatively select an interpretation consistent with their various cortical and subcortical inputs.read more
Citations
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The Synaptic Organization of Layer 6 Circuits Reveals Inhibition as a Major Output of a Neocortical Sublamina.
Jaclyn Ellen Frandolig,Chanel J. Matney,Kihwan Lee,Juhyun Kim,Maxime Chevée,Su Jeong Kim,Aaron Andrew Bickert,Solange P. Brown +7 more
TL;DR: It is shown that the vast majority of parvalbumin inhibitory neurons in a sublamina within L6 send axons through the cortical layers toward the pia, and these interneurons generate an inhibitory interlaminar output.
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Can autistic children predict behavior by social stereotypes
TL;DR: 8-year-old autistic children with a mental age of 7, who fail ToM tasks, nevertheless know and use gender and race stereotypes just like normal children, providing a powerful argument for the assumption of distinct processes in social reasoning.
Journal ArticleDOI
Dendritic Excitability and Gain Control in Recurrent Cortical Microcircuits
Etay Hay,Idan Segev +1 more
TL;DR: It is indicated that dendritic nonlinearities are pivotal in controlling the gain and the computational functions of TTCs microcircuits, which serve as a dominant output source for the neocortex.
Journal ArticleDOI
In Vitro Recordings of Human Neocortical Oscillations
Carlos M. Florez,Ryan J. McGinn,V. Lukankin,I. Marwa,S. Sugumar,J. Dian,Lili-Naz Hazrati,Peter L. Carlen,L. Zhang,Taufik A. Valiante +9 more
TL;DR: It is shown here that human cortical slices maintained in vitro can generate oscillations similar to those observed in vivo, and two types of activity, theta oscillations and high gamma activity, uniquely characterized this model-activity not typically observed in animal cortical slices.
Journal ArticleDOI
Superficial Slow Rhythms Integrate Cortical Processing in Humans.
Milan Halgren,Dániel Fabó,István Ulbert,István Ulbert,Joseph R. Madsen,Loránd Eross,Werner Doyle,Orrin Devinsky,Donald L. Schomer,Sydney S. Cash,Eric Halgren +10 more
TL;DR: It is found that most EEG activity is below 10-Hz (delta/theta) and generated by superficial cortical layers during both wakefulness and sleep, and support a primary role of superficial slow rhythms in generating the EEG and integrating cortical activity.
References
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Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
David H. Hubel,Torsten N. Wiesel +1 more
TL;DR: This method is used to examine receptive fields of a more complex type and to make additional observations on binocular interaction and this approach is necessary in order to understand the behaviour of individual cells, but it fails to deal with the problem of the relationship of one cell to its neighbours.
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Distributed Hierarchical Processing in the Primate Cerebral Cortex
TL;DR: A summary of the layout of cortical areas associated with vision and with other modalities, a computerized database for storing and representing large amounts of information on connectivity patterns, and the application of these data to the analysis of hierarchical organization of the cerebral cortex are reported on.
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Hierarchical models of object recognition in cortex
TL;DR: A new hierarchical model consistent with physiological data from inferotemporal cortex that accounts for this complex visual task and makes testable predictions is described.
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Neuromorphic electronic systems
TL;DR: It is shown that for many problems, particularly those in which the input data are ill-conditioned and the computation can be specified in a relative manner, biological solutions are many orders of magnitude more effective than those using digital methods.
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