ArticleNeural computation2014
Motor cortex microcircuit simulation based on brain activity mapping.
Article in Neural computation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed.
- Circuits and mechanisms for TMS-induced corticospinal waves: Connecting sensitivity analysis to the network graph.PLoS computational biology · 2024Article
- Deep Brain Stimulation restores information processing in parkinsonian cortical networks.medRxiv : the preprint server for health sciences · 2024Article
- Multiscale model of primary motor cortex circuits predicts in vivo cell-type-specific, behavioral state-dependent dynamics.Cell reports · 2023Article
- Ultrafast simulation of large-scale neocortical microcircuitry with biophysically realistic neurons.eLife · 2022Article
- Deep brain stimulation-guided optogenetic rescue of parkinsonian symptoms.Nature communications · 2020Article
- Relating network connectivity to dynamics: opportunities and challenges for theoretical neuroscience.Current opinion in neurobiology · 2019Review
- 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
- Restoring Behavior via Inverse Neurocontroller in a Lesioned Cortical Spiking Model Driving a Virtual Arm.Frontiers in neuroscience · 2016Article
- Major remaining gaps in models of sensorimotor systems.Frontiers in computational neuroscience · 2015Review
- Towards real-time communication betweenJournal of computational surgery · 2014Article
- Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis.IBM journal of research and developmentArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
The deceptively simple laminar structure of neocortex belies the complexity of intra- and interlaminar connectivity. We developed a computational model based primarily on a unified set of brain activity mapping studies of mouse M1. The simulation consisted of 775 spiking neurons of 10 cell types with detailed population-to-population connectivity. Static analysis of connectivity with graph-theoretic tools revealed that the corticostriatal population showed strong centrality, suggesting that would provide a network hub. Subsequent dynamical analysis confirmed this observation, in addition to revealing network dynamics that cannot be readily predicted through analysis of the wiring diagram alone. Activation thresholds depended on the stimulated layer. Low stimulation produced transient activation, while stronger activation produced sustained oscillations where the threshold for sustained responses varied by layer: 13% in layer 2/3, 54% in layer 5A, 25% in layer 5B, and 17% in layer 6. The frequency and phase of the resulting oscillation also depended on stimulation layer. By demonstrating the effectiveness of combined static and dynamic analysis, our results show how static brain maps can be related to the results of brain activity mapping.
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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.