Michael Reimann

Allen Institute for Brain Science — United States

Neuroscience · Life Sciences

19h-index3.8kcitations153works5.02yr avg
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Research Topics

Neural dynamics and brain function(80), Functional Brain Connectivity Studies(34), Neuroscience and Neural Engineering(20), Neuroscience and Neuropharmacology Research(18), Advanced Memory and Neural Computing(12)

Publications152 total

Computational modeling reveals biological mechanisms underlying the whisker flick EEG
iScience·2025Open Access
Simulation insights on the compound action potential in multifascicular nerves
PLoS Computational Biology·2025· 1 citedOpen Access
Neuron morphological physicality and variability define the non-random structure of connectivity
2025· 2 citedOpen Access
Connectomics of (part of) the MICrONS mm3 dataset
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
Assemblies, synapse clustering, and network topology interact with plasticity to explain structure-function relationships of the cortical connectome
eLife·2025· 1 citedOpen Access
Author response: Assemblies, synapse clustering, and network topology interact with plasticity to explain structure-function relationships of the cortical connectome
2025Open Access
An algorithm to model the non-random connectome of cortical circuitry
2025Open Access
BlueRecording: A pipeline for the efficient calculation of extracellular recordings in large-scale neural circuit models
PLoS Computational Biology·2025· 3 citedOpen Access
Author response: Assemblies, synapse clustering and network topology interact with plasticity to explain structure-function relationships of the cortical connectome
2025Open Access
Assemblies, synapse clustering and network topology interact with plasticity to explain structure-function relationships of the cortical connectome
2025Open Access
iCSD can produce spurious results in dense electrode arrays
2025Open Access
Spike sorting biases and information loss in a detailed cortical model
2025Open Access
Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part II: Physiology and Experimentation
2025Open Access
Author response: Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part II: Physiology and Experimentation
2025Open Access
Insights on neural sensing from biophysically-detailed models of neural circuits
Brain stimulation·2025Open Access
Computational modeling reveals biological mechanisms underlying the whisker-flick EEG
2024· 1 citedOpen Access
Heterogeneous and higher-order cortical connectivity undergirds efficient, robust, and reliable neural codes
iScience·2024· 8 citedOpen Access
Spike sorting biases and information loss in a detailed cortical model
2024· 10 citedOpen Access
A connectome manipulation framework for the systematic and reproducible study of structure–function relationships through simulations
Network Neuroscience·2024· 4 citedOpen Access
Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part I: Anatomy
2024· 9 citedOpen Access
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Frequent Co-authors

Henry Markram(28), Eilif Müller(27), Srikanth Ramaswamy(19), James King(17), András Ecker(17), Felix Schürmann(13), Daniela Egas Santander(13), Pramod Kumbhar(12), Armando Romani(12), Sirio Bolaños‐Puchet(12), Ying Shi(11), Werner Van Geit(11), James B. Isbister(11), Daniel Keller(10), Jean-Denis Courcol(10), Huanxiang Lu(10), Christoph Pokorny(10), Michael Gevaert(9), Joni Herttuainen(9), Giuseppe Chindemi(8)