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Michael W Reimann

Showing results (1-10 of 25) with videos related to

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Network Neuroscience (Cambridge, Mass.)|October 2, 2023
A parcellation scheme of mouse isocortex based on reversals in connectivity gradientsTimothé Guyonnet-Hencke, Michael W Reimann
Network Neuroscience (Cambridge, Mass.)|March 18, 2020
Impact of higher order network structure on emergent cortical activityMax Nolte, Eyal Gal, Henry Markram, et al.
Iscience|June 15, 2026
Spatial continuity of neurons explains non-random network architectureMichael W Reimann, Daniela Egas Santander, Lida Kanari, et al.
Cerebral Cortex (New York, N.Y. : 1991)|November 11, 2024
Specific inhibition and disinhibition in the higher-order structure of a cortical connectomeMichael W Reimann, Daniela Egas Santander, András Ecker, et al.
Biorxiv : the Preprint Server for Biology|June 22, 2026
Connectivity Logic of Dendritic Spines in Cortex: Increased Inputs and Ensemble FormationDean Geckt, Netanel Ofer, Michael W Reimann, et al.
Frontiers in Computational Neuroscience|October 27, 2015
An algorithm to predict the connectome of neural microcircuitsMichael W Reimann, James G King, Eilif B Muller, et al.
Nature Communications|August 31, 2019
A null model of the mouse whole-neocortex micro-connectomeMichael W Reimann, Michael Gevaert, Ying Shi, et al.
Nature Communications|August 24, 2019
Cortical reliability amid noise and chaosMax Nolte, Michael W Reimann, James G King, et al.
Cerebral Cortex (New York, N.Y. : 1991)|June 23, 2017
Morphological Diversity Strongly Constrains Synaptic Connectivity and PlasticityMichael W Reimann, Anna-Lena Horlemann, Srikanth Ramaswamy, et al.
Plos One|January 12, 2022
Topology of synaptic connectivity constrains neuronal stimulus representation, predicting two complementary coding strategiesMichael W Reimann, Henri Riihimäki, Jason P Smith, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Network Neuroscience (Cambridge, Mass.)|October 2, 2023
A parcellation scheme of mouse isocortex based on reversals in connectivity gradientsTimothé Guyonnet-Hencke, Michael W Reimann
Network Neuroscience (Cambridge, Mass.)|March 18, 2020
Impact of higher order network structure on emergent cortical activityMax Nolte, Eyal Gal, Henry Markram, et al.
Iscience|June 15, 2026
Spatial continuity of neurons explains non-random network architectureMichael W Reimann, Daniela Egas Santander, Lida Kanari, et al.
Cerebral Cortex (New York, N.Y. : 1991)|November 11, 2024
Specific inhibition and disinhibition in the higher-order structure of a cortical connectomeMichael W Reimann, Daniela Egas Santander, András Ecker, et al.
Biorxiv : the Preprint Server for Biology|June 22, 2026
Connectivity Logic of Dendritic Spines in Cortex: Increased Inputs and Ensemble FormationDean Geckt, Netanel Ofer, Michael W Reimann, et al.
Frontiers in Computational Neuroscience|October 27, 2015
An algorithm to predict the connectome of neural microcircuitsMichael W Reimann, James G King, Eilif B Muller, et al.
Nature Communications|August 31, 2019
A null model of the mouse whole-neocortex micro-connectomeMichael W Reimann, Michael Gevaert, Ying Shi, et al.
Nature Communications|August 24, 2019
Cortical reliability amid noise and chaosMax Nolte, Michael W Reimann, James G King, et al.
Cerebral Cortex (New York, N.Y. : 1991)|June 23, 2017
Morphological Diversity Strongly Constrains Synaptic Connectivity and PlasticityMichael W Reimann, Anna-Lena Horlemann, Srikanth Ramaswamy, et al.
Plos One|January 12, 2022
Topology of synaptic connectivity constrains neuronal stimulus representation, predicting two complementary coding strategiesMichael W Reimann, Henri Riihimäki, Jason P Smith, et al.
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