Zobrazeno 1 - 10
of 397
pro vyhledávání: '"W. Reimann"'
Autor:
Armando Romani, Alberto Antonietti, Davide Bella, Julian Budd, Elisabetta Giacalone, Kerem Kurban, Sára Sáray, Marwan Abdellah, Alexis Arnaudon, Elvis Boci, Cristina Colangelo, Jean-Denis Courcol, Thomas Delemontex, András Ecker, Joanne Falck, Cyrille Favreau, Michael Gevaert, Juan B Hernando, Joni Herttuainen, Genrich Ivaska, Lida Kanari, Anna-Kristin Kaufmann, James Gonzalo King, Pramod Kumbhar, Sigrun Lange, Huanxiang Lu, Carmen Alina Lupascu, Rosanna Migliore, Fabien Petitjean, Judit Planas, Pranav Rai, Srikanth Ramaswamy, Michael W Reimann, Juan Luis Riquelme, Nadir Román Guerrero, Ying Shi, Vishal Sood, Mohameth François Sy, Werner Van Geit, Liesbeth Vanherpe, Tamás F Freund, Audrey Mercer, Eilif Muller, Felix Schürmann, Alex M Thomson, Michele Migliore, Szabolcs Káli, Henry Markram
Publikováno v:
PLoS Biology, Vol 22, Iss 11, p e3002861 (2024)
The CA1 region of the hippocampus is one of the most studied regions of the rodent brain, thought to play an important role in cognitive functions such as memory and spatial navigation. Despite a wealth of experimental data on its structure and funct
Externí odkaz:
https://doaj.org/article/829aaf41dc8c427da6c1eb58a542b081
Autor:
András Ecker, Daniela Egas Santander, Sirio Bolaños-Puchet, James B Isbister, Michael W Reimann
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 3, p e1011891 (2024)
Recent developments in experimental techniques have enabled simultaneous recordings from thousands of neurons, enabling the study of functional cell assemblies. However, determining the patterns of synaptic connectivity giving rise to these assemblie
Externí odkaz:
https://doaj.org/article/060fdf23de4a43edb47f41ab387f6289
Publikováno v:
Harvard Data Science Review, Vol 7, Iss 3 (2023)
Externí odkaz:
https://doaj.org/article/445f771ca2b64895bb8762fcd25586ea
Autor:
Taylor H. Newton, Michael W. Reimann, Marwan Abdellah, Grigori Chevtchenko, Eilif B. Muller, Henry Markram
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Voltage-sensitive dye imaging (VSDI) is a powerful technique for measuring membrane potential dynamics of neurons but the effective resolution is limited. Here, the authors developed an in silico model of VSDI to probe activity in a biologically deta
Externí odkaz:
https://doaj.org/article/fb302b6574b2423eac71eada12147df1
Autor:
Michael W. Reimann, Henri Riihimäki, Jason P. Smith, Jānis Lazovskis, Christoph Pokorny, Ran Levi
Publikováno v:
PLoS ONE, Vol 17, Iss 1 (2022)
In motor-related brain regions, movement intention has been successfully decoded from in-vivo spike train by isolating a lower-dimension manifold that the high-dimensional spiking activity is constrained to. The mechanism enforcing this constraint re
Externí odkaz:
https://doaj.org/article/2456a1d2ec72485fbbaf10c542b04d0f
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-16 (2019)
A combination of large-scale connectomics with cellular and synapse data to generate a first draft statistical model of the neuron-to-neuron micro-connectome of a whole mouse neocortex. This micro-connectome recreates biological trends of targeting o
Externí odkaz:
https://doaj.org/article/77cbc9e4aca94597850b54dc7795b33b
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-15 (2019)
Whether cortical neurons can fire reliable spikes amid cellular noise and chaotic network dynamics remains debated. Here the authors simulate a detailed neocortical microcircuit model and show that noisy and chaotic cortical network dynamics are comp
Externí odkaz:
https://doaj.org/article/ec4c222da2d84cdd94e170df118ed925
Community-based Reconstruction and Simulation of a Full-scale Model of Region CA1 of Rat Hippocampus
Autor:
Armando Romani, Alberto Antonietti, Davide Bella, Julian Budd, Elisabetta Giacalone, Kerem Kurban, Sára Sáray, Marwan Abdellah, Alexis Arnaudon, Elvis Boci, Cristina Colangelo, Jean-Denis Courcol, Thomas Delemontex, András Ecker, Joanne Falck, Cyrille Favreau, Michael Gevaert, Juan B. Hernando, Joni Herttuainen, Genrich Ivaska, Lida Kanari, Anna-Kristin Kaufmann, James Gonzalo King, Pramod Kumbhar, Sigrun Lange, Huanxiang Lu, Carmen Alina Lupascu, Rosanna Migliore, Fabien Petitjean, Judit Planas, Pranav Rai, Srikanth Ramaswamy, Michael W. Reimann, Juan Luis Riquelme, Nadir Román Guerrero, Ying Shi, Vishal Sood, Mohameth François Sy, Werner Van Geit, Liesbeth Vanherpe, Tamás F. Freund, Audrey Mercer, Eilif Muller, Felix Schürmann, Alex M. Thomson, Michele Migliore, Szabolcs Káli, Henry Markram
The CA1 region of the hippocampus is one of the most studied regions of the rodent brain, thought to play an important role in cognitive functions such as memory and spatial navigation. Despite a wealth of experimental data on its structure and funct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcd3800f48705dad49baff5ad612097b
https://doi.org/10.1101/2023.05.17.541167
https://doi.org/10.1101/2023.05.17.541167
Autor:
András Ecker, Daniela Egas Santander, Sirio Bolaños-Puchet, James B. Isbister, Michael W. Reimann
Recent developments in experimental techniques have enabled simultaneous recordings from thousands of neurons, enabling the study of functional cell assemblies. However, determining the patterns of synaptic connectivity giving rise to these assemblie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4de58eccf786b9bc95433261e8ca90e5
https://doi.org/10.1101/2023.02.24.529863
https://doi.org/10.1101/2023.02.24.529863
Autor:
Michael W. Reimann, Max Nolte, Martina Scolamiero, Katharine Turner, Rodrigo Perin, Giuseppe Chindemi, Paweł Dłotko, Ran Levi, Kathryn Hess, Henry Markram
Publikováno v:
Frontiers in Computational Neuroscience, Vol 11 (2017)
The lack of a formal link between neural network structure and its emergent function has hampered our understanding of how the brain processes information. We have now come closer to describing such a link by taking the direction of synaptic transmis
Externí odkaz:
https://doaj.org/article/882bfe7ae3dc4835be76de7d32540de4