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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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Optical triggered seizures using a caged 4-Aminopyridine.

TL;DR: A novel optically-triggered seizure model, with high spatio-temporal control, that could have widespread application in the investigation of ictal onset, propagation and to develop novel light-based therapeutic interventions is demonstrated.
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Differential dynamics of transient neuronal assemblies in visual compared to auditory cortex

TL;DR: Modality-specific divergence in assembly dynamics highlights a previously under-appreciated level of neuronal processing, and could prompt a new approach to the understanding of how information from different senses, transmitted as action potentials with identical electrochemical characteristics across different cortices, can eventually yield the qualitatively distinct experiences of seeing or hearing.
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Versatile networks of simulated spiking neurons displaying winner-take-all behavior

TL;DR: It is found that a large-scale network of spiking neurons with separate populations of excitatory and inhibitory neurons can give rise to smooth maps of sensory input and is shown that a humanoid brain-based-device under the control of a spiking WTA neural network can learn to reach to target positions in its visual field, thus demonstrating the acquisition of sensorimotor coordination.

The SERIOL2 Model of Orthographic Processing.

TL;DR: The SERIOL2 model, which re-specifies how the retinotopic representation is transformed into a serial encoding of letter order, is presented here and spiking-neuron simulations are presented to illustrate how SERI OL2 accounts for the trigram data.
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Interplay of excitation and inhibition elicited by tonal stimulation in pyramidal neurons of primary auditory cortex.

TL;DR: Monaural non-dominant ear stimulation elicits such a powerful hyperpolarization as to cancel out the depolarization elicited at dominant ear stimulation, suggesting a linear mechanism for the binaural suppression.
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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