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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Journal ArticleDOI
A Microcircuit Model of the Frontal Eye Fields
TL;DR: The canonical circuit derived from cat area 17 can, with a few modifications, model the primate frontal eye fields (FEF), and the dynamics of the model matched those of neurons observed in the FEF, and the behavioral results matched those observed in psychophysical experiments.
Journal ArticleDOI
The thalamus integrates the macrosystems of the brain to facilitate complex, adaptive brain network dynamics.
TL;DR: It is argued that the thalamus is well-placed to arbitrate the interactions between distributed neural assemblies in the cerebral cortex, mediating the distributed, multi-scale network organization of the central nervous system.
Journal ArticleDOI
Laminar differences in the response properties of cells in the primary auditory cortex.
Mark N. Wallace,Alan R. Palmer +1 more
TL;DR: Comparison of response properties of cells in all six layers of AI in anaesthetised guinea pigs shows consistent with a model of AI that involves separate inputs to different layers and descending outputs from layers V/VI (to thalamus and brainstem) that are different from the output from layers II/III (to ipsilateral cortex).
Journal ArticleDOI
Long distance projections of cortical pyramidal neurons.
TL;DR: The neuronal circuits defined by the axonal projections of pyramidal neurons in the cerebral cortex are responsible for processing sensory and other information to plan and execute behavior and combining neurophysiological recording techniques and newly introduced atlases of the mouse brain provide the opportunity to achieve a detailed view of the organization of cerebral cortical circuits.
Journal ArticleDOI
Monosynaptic Connections between Pairs of L5A Pyramidal Neurons in Columns of Juvenile Rat Somatosensory Cortex
TL;DR: Paired recordings probed the anatomy and physiology of monosynaptic connections between L5A pyramidal neurons within the barrel columns of somatosensory cortex in acute slices of approximately 3-week-old rats to suggest a mechanism of feed-forward excitation by which synchronized single action potentials are efficiently transmitted.
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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