scispace - formally typeset
Journal ArticleDOI

Neuronal circuits of the neocortex

Rodney J. Douglas, +1 more
- 24 Jun 2004 - 
- Vol. 27, Iss: 1, pp 419-451
Reads0
Chats0
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
More filters
Journal ArticleDOI

Cortical circuitry implementing graphical models

TL;DR: Following previous work, which proposed relations between graphical models and the large-scale cortical anatomy, this work focuses on the cortical microcircuitry and proposes how anatomical and physiological aspects of the local circuitry may map onto elements of the graphical model implementation.
Journal ArticleDOI

Infrabarrels Are Layer 6 Circuit Modules in the Barrel Cortex that Link Long-Range Inputs and Outputs

TL;DR: Using the cell-type-specific Ntsr1-Cre mouse line, it is found that L6 contains infrabarrels, readily identifiable units that align with the L4 barrels.
Journal ArticleDOI

Resonance or Integration? Self-Sustained Dynamics and Excitability of Neural Microcircuits

TL;DR: It is concluded that resonance and integration at the neuron level might interact in the brain to promote stability as well as flexibility and responsiveness to external input and that membrane properties, in general, are essential for determining the behavior of large networks of neurons.
Journal ArticleDOI

Neocortical arealization: evolution, mechanisms, and open questions.

TL;DR: The present knowledge and hypotheses on the ontogenesis and evolution of neocortical areas are introduced, some open issues, which are still unresolved, and some recent studies that might open new directions to be explored in the next few years are discussed.
Journal ArticleDOI

Primary visual cortex shows laminar‐specific and balanced circuit organization of excitatory and inhibitory synaptic connectivity

TL;DR: Exitatory and inhibitory synaptic connectivity is spatially balanced across excitatory neuronal networks in V1 of the mouse visual cortex.
References
More filters
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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Related Papers (5)