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Journal ArticleDOI

Neuronal circuits of the neocortex

Rodney J. Douglas, +1 more
- 24 Jun 2004 - 
- Vol. 27, Iss: 1, pp 419-451
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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.

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Citations
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Higher-order auditory areas in congenital deafness: top-down interactions and corticocortical decoupling

TL;DR: Current data indicate a reduced corticocortical functional coupling between cortical auditory areas in congenital deafness, both in bottom‐up and top‐down information stream, likely to result in a deficit in predictive coding that affects learning ability after late cochlear implantation.
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Lineage-dependent circuit assembly in the neocortex

TL;DR: Findings are beginning to reveal how individual components of circuits are generated and assembled during development, and how early developmental processes, such as neurogenesis and neuronal migration, guide precise circuit assembly.
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Superficial layer pyramidal cells communicate heterogeneously between multiple functional domains of cat primary visual cortex

TL;DR: In this article, the intrinsic signal of neurons was measured using optical imaging to determine the global map of orientation preferences in the cat primary visual system, and axon clusters formed in a variety of different orientation domains, not just the like-orientation domains.
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Illuminating the role of cholinergic signaling in circuits of attention and emotionally salient behaviors.

TL;DR: Recent optogenetic studies which have tried to disentangle the precise role of ACh in the modulation of cortical-, hippocampal- and striatal-dependent functions are highlighted.
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Sensitivity and specificity considerations for fMRI encoding, decoding, and mapping of auditory cortex at ultra-high field

TL;DR: This work compares a T2* weighted fMRI dataset, obtained with 2D gradient echo (GE) EPI, to a predominantly T2 weighted dataset obtained with 3D GRASE, and explores the mapping of voxel preferences, finding different fMRI acquisitions were better suited for different analyses.
References
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Journal ArticleDOI

Receptive fields, binocular interaction and functional architecture in the cat's visual cortex

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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