ArticleJournal of computational neuroscience2013
Emergent dynamics in a model of visual cortex.
Article in Journal of computational neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Article
- The Use of Reduced Models to Generate Irregular, Broad-Band Signals That Resemble Brain Rhythms.Frontiers in computational neuroscience · 2022Article
- Malleability of gamma rhythms enhances population-level correlations.Journal of computational neuroscience · 2021Article
- Model Reduction Captures Stochastic Gamma Oscillations on Low-Dimensional Manifolds.Frontiers in computational neuroscience · 2021Article
- Neural Circuit Mechanism Underlying the Feeding Controlled by Insula-Central Amygdala Pathway.iScience · 2020Article
- Stochastic neural field model: multiple firing events and correlations.Journal of mathematical biology · 2019Article
- A case study in the functional consequences of scaling the sizes of realistic cortical models.PLoS computational biology · 2019Article
- A coarse-graining framework for spiking neuronal networks: from strongly-coupled conductance-based integrate-and-fire neurons to augmented systems of ODEs.Journal of computational neuroscience · 2019Article
- Rhythm and Synchrony in a Cortical Network Model.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Orientation Selectivity from Very Sparse LGN Inputs in a Comprehensive Model of Macaque V1 Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016Article
- Intrinsic and Network Mechanisms Constrain Neural Synchrony in the Moth Antennal Lobe.Frontiers in physiology · 2016Article
- Asynchronous Rate Chaos in Spiking Neuronal Circuits.PLoS computational biology · 2015Article
- A reduction for spiking integrate-and-fire network dynamics ranging from homogeneity to synchrony.Journal of computational neuroscience · 2015Article
- Emergent spike patterns in neuronal populations.Journal of computational neuroscience · 2015Article
- A coarse-grained framework for spiking neuronal networks: between homogeneity and synchrony.Journal of computational neuroscience · 2014Article
- Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons.Nature neuroscience · 2014Article
- Distribution of correlated spiking events in a population-based approach for Integrate-and-Fire networks.Journal of computational neuroscience · 2014Article
- Gamma frequency feedback inhibition accounts for key aspects of orientation selectivity in V1.Network (Bristol, England)Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper proposes that the network dynamics of the mammalian visual cortex are highly structured and strongly shaped by temporally localized barrages of excitatory and inhibitory firing we call 'multiple-firing events' (MFEs). Our proposal is based on careful study of a network of spiking neurons built to reflect the coarse physiology of a small patch of layer 2/3 of V1. When appropriately benchmarked this network is capable of reproducing the qualitative features of a range of phenomena observed in the real visual cortex, including spontaneous background patterns, orientation-specific responses, surround suppression and gamma-band oscillations. Detailed investigation into the relevant regimes reveals causal relationships among dynamical events driven by a strong competition between the excitatory and inhibitory populations. It suggests that along with firing rates, MFE characteristics can be a powerful signature of a regime. Testable predictions based on model observations and dynamical analysis are proposed.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.