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Open AccessJournal ArticleDOI

How Inhibition Shapes Cortical Activity

Jeffery S. Isaacson, +1 more
- 20 Oct 2011 - 
- Vol. 72, Iss: 2, pp 231-243
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TLDR
Current views of how inhibition regulates the function of cortical neurons are discussed, and a number of important open questions are pointed to.
About
This article is published in Neuron.The article was published on 2011-10-20 and is currently open access. It has received 1429 citations till now. The article focuses on the topics: Neural Inhibition.

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Journal ArticleDOI

The theta-gamma neural code

TL;DR: Evidence is reviewed for the following hypothesis: that the dual oscillations form a code for representing multiple items in an ordered way, and that this coding scheme coordinates communication between brain regions and is involved in sensory as well as memory processes.
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Inhibition of Inhibition in Visual Cortex: The Logic of Connections Between Molecularly Distinct Interneurons

TL;DR: This work describes a simple and complementary interaction scheme between three large, molecularly distinct interneuron populations in mouse visual cortex: parvalbumin-expressing interneurons strongly inhibit one another but provide little inhibition to other populations, while somatostatin-expresses avoid inhibiting one another yet strongly inhibit all other populations.
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Cortical interneurons that specialize in disinhibitory control

TL;DR: A class of interneurons that express vasoactive intestinal polypeptide (VIP) mediates disinhibitory control in multiple areas of neocortex and is recruited by reinforcement signals, revealing a specific cell type and microcircuit underlying disinhibited control in cortex and demonstrating that it is activated under specific behavioural conditions.
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Equalizing excitation–inhibition ratios across visual cortical neurons

TL;DR: The equalization of E/I ratios across pyramidal cells reveals an unexpected degree of order in the spatial distribution of synaptic strengths and indicates that the relationship between the cortex’s two opposing forces is stabilized not only in time but also in space.
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Expectation in perceptual decision making: neural and computational mechanisms

TL;DR: This work considers the relationship between visual expectation and related concepts, such as attention and adaptation, and discusses how expectations may influence decision signals at the computational level.
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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Dynamic predictions: Oscillations and synchrony in top–down processing

TL;DR: It is argued that coherence among subthreshold membrane potential fluctuations could be exploited to express selective functional relationships during states of expectancy or attention, and these dynamic patterns could allow the grouping and selection of distributed neuronal responses for further processing.
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Interneurons of the neocortical inhibitory system.

TL;DR: This review focuses on the organizing principles that govern the diversity of inhibitory interneurons and their circuits.
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Driving fast-spiking cells induces gamma rhythm and controls sensory responses

TL;DR: The timing of a sensory input relative to a gamma cycle determined the amplitude and precision of evoked responses and provided the first causal evidence that distinct network activity states can be induced in vivo by cell-type-specific activation.
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