ArticleNature neuroscience2014
Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons.
Article in Nature neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 135 papers.
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Who cites it
135 citing papers in PubMed.
- Intrinsic chaos control in cortical circuits: A minimal E-I-M rate model for primary visual cortex.Journal of computational neuroscience · 2026Article
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- Neural timescales from a computational perspective.Nature neuroscience · 2026Review
- Neuronal spiking in the mammalian forebrain is dominated by a heterogeneous ground state.Neuron · 2026Article
- A Framework Integrating Spiking Cortical Circuit Modeling and Simulation-Based Inference to Probe Biomarkers of Cortical Dysfunction in Alzheimer's Disease.Interdisciplinary sciences, computational life sciences · 2026Article
- Asynchronous firing and off states in working memory maintenance.Cell reports · 2026Article
- Asynchronous firing and off-states in working memory maintenance.bioRxiv : the preprint server for biology · 2025Article
- Adaptive proximity to criticality underlies amplification of ultra-slow fluctuations during free recall.PLoS computational biology · 2025Article
- A doubly stochastic renewal framework for partitioning spiking variability.Nature communications · 2025Article
- Balanced state of networks of winner-take-all units.PLoS computational biology · 2025Article
- A Python toolbox for neural circuit parameter inference.NPJ systems biology and applications · 2025Article
- Information transfer and recovery for the sense of touch.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Emergent functions of noise-driven spontaneous activity: homeostatic maintenance of criticality and memory consolidation.Frontiers in neural circuits · 2025Article
- Hippocampal phase precession may be generated by chimera dynamics.Frontiers in neural circuits · 2025Article
- Firing rate distributions in plastic networks of spiking neurons.Network neuroscience (Cambridge, Mass.) · 2025Article
- Nondifferentiable activity in the brain.PNAS nexus · 2024Article
- Fluctuation-response relations for integrate-and-fire models with an absolute refractory period.Biological cybernetics · 2024Article
- IDSNN: Towards High-Performance and Low-Latency SNN Training via Initialization and Distillation.Biomimetics (Basel, Switzerland) · 2023Article
- Geometry of population activity in spiking networks with low-rank structure.PLoS computational biology · 2023Article
- Logarithmically scaled, gamma distributed neuronal spiking.The Journal of physiology · 2023Review
75 more citing papers are in PubMed but not listed here.
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1 author.
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No grant is acknowledged in the PubMed record.
Abstract
Asynchronous activity in balanced networks of excitatory and inhibitory neurons is believed to constitute the primary medium for the propagation and transformation of information in the neocortex. Here we show that an unstructured, sparsely connected network of model spiking neurons can display two fundamentally different types of asynchronous activity that imply vastly different computational properties. For weak synaptic couplings, the network at rest is in the well-studied asynchronous state, in which individual neurons fire irregularly at constant rates. In this state, an external input leads to a highly redundant response of different neurons that favors information transmission but hinders more complex computations. For strong couplings, we find that the network at rest displays rich internal dynamics, in which the firing rates of individual neurons fluctuate strongly in time and across neurons. In this regime, the internal dynamics interact with incoming stimuli to provide a substrate for complex information processing and learning.
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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.