ArticleJournal of computational neuroscience2011
Synaptic information transfer in computer models of neocortical columns.
Article in Journal of computational neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- A Synchronization-Driven Learning Rule for Pattern Separation in Self-Organizing Probabilistic Spiking Neural Networks.Research square · 2026Article
- Synaptic Synchronization-Based Learning of Pattern Separation in Self-Organizing Probabilistic Spiking Neural Networks.bioRxiv : the preprint server for biology · 2025Article
- Application of Transfer Entropy Measure to Characterize Environmental Sounds in Urban and Wild Parks.Sensors (Basel, Switzerland) · 2025Article
- Article
- Computational Modeling of Therapy with the NMDA Antagonist in Neurodegenerative Disease: Information Theory in the Mechanism of Action of Memantine.International journal of environmental research and public health · 2022Article
- Disparate insults relevant to schizophrenia converge on impaired spike synchrony and weaker synaptic interactions in prefrontal local circuits.Current biology : CB · 2022Article
- Estimating Transfer Entropy in Continuous Time Between Neural Spike Trains or Other Event-Based Data.PLoS computational biology · 2021Article
- In silico hippocampal modeling for multi-target pharmacotherapy in schizophrenia.NPJ schizophrenia · 2020Article
- Effects of Inducing Gamma Oscillations in Hippocampal Subregions DG, CA3, and CA1 on the Potential Alleviation of Alzheimer's Disease-Related Pathology: Computer Modeling and Simulations.Entropy (Basel, Switzerland) · 2019Article
- Article
- Multiscale modeling in the clinic: diseases of the brain and nervous system.Brain informatics · 2017Review
- Tracking recurrence of correlation structure in neuronal recordings.Journal of neuroscience methods · 2017Article
- Topology, Cross-Frequency, and Same-Frequency Band Interactions Shape the Generation of Phase-Amplitude Coupling in a Neural Mass Model of a Cortical Column.PLoS computational biology · 2016Article
- High-Degree Neurons Feed Cortical Computations.PLoS computational biology · 2016Article
- Calcium regulation of HCN channels supports persistent activity in a multiscale model of neocortex.Neuroscience · 2016Article
- Multitarget Multiscale Simulation for Pharmacological Treatment of Dystonia in Motor Cortex.Frontiers in pharmacology · 2016Article
- Anatomically Detailed and Large-Scale Simulations Studying Synapse Loss and Synchrony Using NeuroBox.Frontiers in neuroanatomy · 2016Article
- Modeling the Generation of Phase-Amplitude Coupling in Cortical Circuits: From Detailed Networks to Neural Mass Models.BioMed research international · 2015Review
- Article
- Motor cortex microcircuit simulation based on brain activity mapping.Neural computation · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Understanding the direction and quantity of information flowing in neuronal networks is a fundamental problem in neuroscience. Brains and neuronal networks must at the same time store information about the world and react to information in the world. We sought to measure how the activity of the network alters information flow from inputs to output patterns. Using neocortical column neuronal network simulations, we demonstrated that networks with greater internal connectivity reduced input/output correlations from excitatory synapses and decreased negative correlations from inhibitory synapses, measured by Kendall's τ correlation. Both of these changes were associated with reduction in information flow, measured by normalized transfer entropy (nTE). Information handling by the network reflected the degree of internal connectivity. With no internal connectivity, the feedforward network transformed inputs through nonlinear summation and thresholding. With greater connectivity strength, the recurrent network translated activity and information due to contribution of activity from intrinsic network dynamics. This dynamic contribution amounts to added information drawn from that stored in the network. At still higher internal synaptic strength, the network corrupted the external information, producing a state where little external information came through. The association of increased information retrieved from the network with increased gamma power supports the notion of gamma oscillations playing a role in information processing.
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Registered trials
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.