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Open AccessJournal ArticleDOI

Cortical oscillations arise from contextual interactions that regulate sparse coding

TLDR
The results demonstrate how the frequency and power of oscillations, and hence spike times, can be modulated by both sensory input and behavioral context, with powerful oscillations signifying a cortical state under inhibitory control in which spikes are sparse and spike timing is precise.
Abstract
Precise spike times carry information and are important for synaptic plasticity. Synchronizing oscillations such as gamma bursts could coordinate spike times, thus regulating information transmission in the cortex. Oscillations are driven by inhibitory neurons and are modulated by sensory stimuli and behavioral states. How their power and frequency are regulated is an open question. Using a model cortical circuit, we propose a regulatory mechanism that depends on the activity balance of monosynaptic and disynaptic pathways to inhibitory neurons: Monosynaptic input causes more powerful oscillations whereas disynaptic input increases the frequency of oscillations. The balance of stimulation to the two pathways modulates the overall distribution of spikes, with stronger disynaptic stimulation (e.g., preferred stimuli inside visual receptive fields) producing high firing rates and weak oscillations; in contrast, stronger monosynaptic stimulation (e.g., suppressive contextual stimulation from outside visual receptive fields) generates low firing rates and strong oscillatory regulation of spike timing, as observed in alert cortex processing complex natural stimuli. By accounting for otherwise paradoxical experimental findings, our results demonstrate how the frequency and power of oscillations, and hence spike times, can be modulated by both sensory input and behavioral context, with powerful oscillations signifying a cortical state under inhibitory control in which spikes are sparse and spike timing is precise.

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Cortical gamma band synchronization through somatostatin interneurons

TL;DR: Using cell-type-specific optogenetic manipulations in behaving animals, it is shown that dendrite-targeting somatostatin interneurons are critical for a visually induced, context-dependent gamma rhythm in visual cortex and that SOM neurons are required for long-distance coherence across the visual cortex.
Journal ArticleDOI

Speech encoding by coupled cortical theta and gamma oscillations

TL;DR: It is demonstrated that cortical oscillations can be a key instrument of speech de-multiplexing, parsing, and encoding and can flexibly track the syllabic rhythm and temporally organize the phoneme-level response of gamma neurons into a code that enables syllable identification.
Journal ArticleDOI

Feedforward and feedback frequency-dependent interactions in a large-scale laminar network of the primate cortex

TL;DR: A large-scale laminar network model of the primate cortex constrained by new directed and weighted connectivity data reproduces a functional hierarchy based on frequency-dependent Granger causality analysis of interareal signaling, and suggests a mechanism for the observed context-dependent hierarchy dynamics.
Journal ArticleDOI

State-dependent alpha peak frequency shifts: Experimental evidence, potential mechanisms and functional implications.

TL;DR: It is proposed that alpha frequency variability forms the basis of an adaptive mechanism mirroring the activation level of neural populations which has important functional implications.
Journal ArticleDOI

Glial Regulation of the Neuronal Connectome through Local and Long-Distant Communication.

TL;DR: This Perspective article examines glial interactions with the neuronal connectome (including long-range networks, local circuits, and individual synaptic connections) and highlights opportunities for future research.
References
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Journal ArticleDOI

Exact Stochastic Simulation of Coupled Chemical Reactions

TL;DR: In this article, a simulation algorithm for the stochastic formulation of chemical kinetics is proposed, which uses a rigorously derived Monte Carlo procedure to numerically simulate the time evolution of a given chemical system.
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Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties.

TL;DR: It is demonstrated here that neurons in spatially separate columns can synchronize their oscillatory responses, which has, on average, no phase difference, depends on the spatial separation and the orientation preference of the cells and is influenced by global stimulus properties.
Journal ArticleDOI

Excitatory and Inhibitory Interactions in Localized Populations of Model Neurons

TL;DR: It is proved that the existence of limit cycle dynamics in response to one class of stimuli implies theexistence of multiple stable states and hysteresis in responseTo this work, coupled nonlinear differential equations are derived for the dynamics of spatially localized populations containing both excitatory and inhibitory model neurons.
Journal ArticleDOI

Speed of processing in the human visual system.

TL;DR: The visual processing needed to perform this highly demanding task can be achieved in under 150 ms, and ERP analysis revealed a frontal negativity specific to no-go trials that develops roughly 150 ms after stimulus onset.
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Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention

TL;DR: Neurons activated by the attended stimulus showed increased gamma-frequency but reduced low-frequency synchronization compared with neurons at nearby V4 sites activated by distracters, suggesting localized changes in synchronization may serve to amplify behaviorally relevant signals in the cortex.
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