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Motor Cortex Microcircuit Simulation Based on Brain Activity Mapping

George L. Chadderdon, Ashutosh Mohan, Benjamin A. Suter, Samuel A. Neymotin, Cliff C. Kerr, Joseph T. Francis, Gordon M. G. Shepherd, William W. Lytton
2014 Neural Computation  
We developed a computational model based primarily on a unified set of brain activity mapping studies of mouse M1.  ...  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.  ...  We developed a computational model based primarily on a unified set of brain activity mapping studies of mouse M1.  ... 
doi:10.1162/neco_a_00602 pmid:24708371 pmcid:PMC4887269 fatcat:rdujwpeqszg3dfrvhb7zeqldaa

Microcircuits — Their structure, dynamics and role for brain function

Vassilis Cutsuridis, Thomas Wennekers, Bruce P. Graham, Imre Vida, John G. Taylor
2009 Neural Networks  
field potentials and population activity in cortical microcircuits.  ...  The brain, from the neocortex to the spinal cord, consists of various microcircuits, each serving specific functions.  ... 
doi:10.1016/j.neunet.2009.07.006 pmid:19619981 fatcat:ha4zlj24m5gj5belnju4qdykjq

Long-range inputs and H-current regulate different modes of operation in a multiscale model of mouse M1 microcircuits [article]

Salvador Dura-Bernal, Samuel A Neymotin, Benjamin A Suter, Gordon MG Shepherd, William W Lytton
2017 bioRxiv   pre-print
Data was based on optogenetic circuit mapping studies which determined that connection strengths vary within layer as a function of the neuron's cortical depth.  ...  We developed a biologically detailed multiscale model of mouse primary motor cortex (M1) microcircuits, incorporating data from several recent experimental studies.  ...  We simulated the inputs from the main cortical and thalamic regions that project to M1, based on recent experimental data from optogenetic mapping studies.  ... 
doi:10.1101/201707 fatcat:cahznwqq4ffjde5hi46rwc25si

Canonical cortical circuits: current evidence and theoretical implications

Vincenzo Di Lazzaro, Fioravante Capone, Matteo Paolucci, Federica Assenza, Nicoletta Brunelli, Lorenzo Ricci, Lucia Florio
2016 Neuroscience and Neuroeconomics  
Superficial and deep pyramidal neurons are reciprocally connected, and inhibitory interneurons participate in modulating the activity of the circuit.  ...  to the most recent developments in the modelization of cortex.  ...  TMS can activate the human brain through the intact scalp. 32, 33 Usually, the effects induced by TMS on M1 are measured as motor-evoked potentials (MEPs) by recording electromyography of the muscles  ... 
doi:10.2147/nan.s70816 fatcat:uv2lpeeuszdktdhnwzrbgonpyq

Towards biophysical mechanisms of neocortical computation after 50 years of barrel cortex research

Carl C H Petersen, Graham W Knott, Anthony Holtmaat, Felix Schürmann
2020 Function  
Computations in cortical circuits play fundamental roles in higher brain function.  ...  After 50 years of barrel cortex research since its discovery by Thomas Woolsey and Hendrik van der Loos in 1970, 2 here, we discuss future research avenues into the Structure, Function, and Simulation  ...  Model predictions on behavior will require the models to capture brain structures beyond the barrel cortex, but especially for mouse as a model organism, whole-brain biophysical models seem to be in reach  ... 
doi:10.1093/function/zqaa046 pmid:35330974 pmcid:PMC8788775 fatcat:mk74gmvpmrgbbai2petht5hmfi

Myelin and Modeling: Bootstrapping Cortical Microcircuits

Robert Turner
2019 Frontiers in Neural Circuits  
Histological studies of myelin-stained sectioned cadaver brain and in vivo myelin-weighted magnetic resonance imaging (MRI) show that the cerebral cortex is organized into cortical areas with generally  ...  the traffic of action potentials facilitates increased traffic, suggests the hypothesis that the specific pattern of myelination (myeloarchitecture) in each cortical area reveals the principal cortical microcircuits  ...  (7) Can models based on such area-specific microcircuits predict the observed feature space components of that area?  ... 
doi:10.3389/fncir.2019.00034 pmid:31133821 pmcid:PMC6517540 fatcat:di6mutjoyzeahajaexswl3essa

The Microcircuit Concept Applied to Cortical Evolution: from Three-Layer to Six-Layer Cortex

Gordon M. Shepherd
2011 Frontiers in Neuroanatomy  
CortiCal miCroCirCuits: the basiC hypothesis The traditional method for analyzing brain evolution has been neuroanatomy, with a focus on comparing such features as size and number of brain areas, patterns  ...  Here we use the microcircuit concept to focus first on the principles of microcircuit organization of three-layer cortex in the olfactory cortex, hippocampus, and turtle general cortex, and compare it  ...  This period in the 1980s also saw the introduction of neural networks based on parallel processing for the purpose of simulating brain function (Rumelhart and McClelland, 1986) .  ... 
doi:10.3389/fnana.2011.00030 pmid:21647397 pmcid:PMC3102215 fatcat:dcbic537ujfsflva55ylws6q7i

Synaptic pathways in neural microcircuits

Gilad Silberberg, Sten Grillner, Fiona E.N. LeBeau, Reinoud Maex, Henry Markram
2005 Trends in Neurosciences  
The functions performed by different neural microcircuits depend on the anatomical and physiological properties of the various synaptic pathways connecting neurons.  ...  Neural microcircuits across various species and brain regions are similar in terms of the repertoire of neurotransmitters, synaptic kinetics, short-and long-term plasticity, and target-specificity of synaptic  ...  For example, in L1 in the primary somatosensory cortex gets feedback from primary motor cortex to L1 68 .  ... 
doi:10.1016/j.tins.2005.08.004 pmid:16122815 fatcat:tdz46heycbcivbf2gwjngeqnie

Integration of paired spiking cerebellar models for voluntary movement adaptation in a closed-loop neuro-robotic experiment. A simulation study

Carlos Corchado, Alberto Antonietti, Marie Claire Capolei, Claudia Casellato, Silvia Tolu
2019 2019 IEEE International Conference on Cyborg and Bionic Systems (CBS)  
Simulations are carried out in the Neurorobotics platform of the Human Brain Project.  ...  Motor control is a very important feature in the human brain to achieve optimal performance in motor tasks.  ...  ACKNOWLEDGMENT This work has received funding from the Marie Curie project n. 705100 (Biomodular) and from the EU-H2020 Programme under the grant agreement n.785907 (Human Brain Project SGA2).  ... 
doi:10.1109/cbs46900.2019.9114412 dblp:conf/cbs/CorchadoACCT19 fatcat:ehmbt2hrmbhmpk4pvfvyim6msa

The quest for multiscale brain modeling

Egidio D'Angelo, Viktor Jirsa
2022 Trends in Neurosciences  
In this article we consider theories and strategies for combining bottom-up models, generated from principles of neuronal biophysics, with top-down models based on ensemble representations of network activity  ...  It is more difficult to infer neuronal functions from ensemble measurements such as those currently obtained with brain activity recordings.  ...  ., and from Centro Fermi project 'Local Neuronal Microcircuits' to E.D.  ... 
doi:10.1016/j.tins.2022.06.007 pmid:35906100 fatcat:rm4mg7snujhejktmnkw3mbtvui

When do bursts matter in the motor cortex? Investigating changes in the intermittencies of beta rhythms associated with movement states [article]

Timothy O West, Benoit Duchet, Simon F Farmer, Karl Friston, Hayriye Cagnan
2022 bioRxiv   pre-print
Here, we present evidence from electrocorticography recordings made from the motor cortex to show that, dependent on the specific motor context, the statistics of temporal transients in beta frequency  ...  Finally, we examine how beta bursting in motor cortex may influence the integration of exogenous inputs to the cortex and suggest that properties of spontaneous activity cannot be reliably used to infer  ...  Fitting a Model of Motor Cortex Population Activity We used a neural mass model of population activity in the motor cortex microcircuit (i.e., Bhatt et al. (2016) ).  ... 
doi:10.1101/2022.06.22.497199 fatcat:ovrqvhajgvgatnosl33rrndpvm

Corticospinal-specific HCN expression in mouse motor cortex: Ih-dependent synaptic integration as a candidate microcircuit mechanism involved in motor control

Patrick L. Sheets, Benjamin A. Suter, Taro Kiritani, C. Savio Chan, D. James Surmeier, Gordon M. G. Shepherd
2011 Journal of Neurophysiology  
Corticospinal-specific HCN expression in mouse motor cortex: I h -dependent synaptic integration as a candidate microcircuit mechanism involved in motor control.  ...  Autonomic activation in humans occurs during mental motor simulations, coincident with motor activity (Decety et al. 1993; Oishi et al. 1994) .  ...  THIS STUDY COMPRISES TWO RELATED sets of experiments, focusing first on characterizing hyperpolarization-activated current (I h ) expression in corticospinal neurons in mouse motor cortex and then on the  ... 
doi:10.1152/jn.00232.2011 pmid:21795621 pmcid:PMC3214092 fatcat:kpcjmjdu75fjdlqfomjv3xjxfy

Computational models of the basal ganglia: from robots to membranes

Kevin Gurney, Tony J. Prescott, Jeffery R. Wickens, Peter Redgrave
2004 Trends in Neurosciences  
Our proposed framework rests on two basic ideas.  ...  We will then show, with examples, how the proposed framework can also help evaluate lower level microcircuit and membrane models of neural function.  ...  Models based on this assumption exhibited a competitive dynamic such that, under high-gain conditions, the most active cells suppressed activity in their weaker neighbours [39] .  ... 
doi:10.1016/j.tins.2004.06.003 pmid:15271492 fatcat:sqfrjxl36fgexbyxm6f3hqztba

Toward understanding thalamocortical dysfunction in schizophrenia through computational models of neural circuit dynamics

John D. Murray, Alan Anticevic
2017 Schizophrenia Research  
One potential path forward is a "Computational Psychiatry" approach that leverages computational models of neural circuits to make predictions for the dynamical impact dynamical impact on specific thalamic  ...  Here we review biophysically-based computational models of neural circuit dynamics for large-scale resting-state networks which have been applied to schizophrenia, and for thalamic oscillations.  ...  Each node represents a brain region or parcel, and simulates neural activity of the local circuit at a simplified level of biophysical fidelity.  ... 
doi:10.1016/j.schres.2016.10.021 pmid:27784534 pmcid:PMC5263120 fatcat:nhwiivupevdaxp6vfrngvmgl6e

Closing the mechanistic gap: the value of microarchitecture in understanding cognitive networks

Casey Paquola, Katrin Amunts, Alan Evans, Jonathan Smallwood, Boris Bernhardt
2022 Trends in Cognitive Sciences  
Technological, empirical, and conceptual advances allow this mechanistic gap to be closed by embedding patterns of functional activity in macro- and microscale descriptions of brain organisation.  ...  Recent work on the default mode network (DMN) and the multiple demand network (MDN), for example, highlights a microarchitectural landscape that may explain how activity in these networks integrates varied  ...  Acknowledgments This work has been supported by HIBALL (HBHL, Helmholtz, and the Joint Lab SMHB, Helmholtz) and the Human Brain Project (specific grant agreement 945539; Human Brain Project SGA3).  ... 
doi:10.1016/j.tics.2022.07.001 pmid:35909021 fatcat:nlnsiaznmza7xnlrnovga6cycu
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