Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Markus Diesmann

Showing results (21-30 of 99) with videos related to

Pageof 10
Sort By:
Frontiers in Neuroscience|January 10, 2022
Dynamical Characteristics of Recurrent Neuronal Networks Are Robust Against Low Synaptic Weight ResolutionStefan Dasbach, Tom Tetzlaff, Markus Diesmann, et al.
Plos Computational Biology|September 22, 2010
Instantaneous non-linear processing by pulse-coupled threshold unitsMoritz Helias, Moritz Deger, Stefan Rotter, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 14, 2019
Second type of criticality in the brain uncovers rich multiple-neuron dynamicsDavid Dahmen, Sonja Grün, Markus Diesmann, et al.
Frontiers in Computational Neuroscience|July 26, 2018
Criteria on Balance, Stability, and Excitability in Cortical Networks for Constraining Computational ModelsAndrei Maksimov, Markus Diesmann, Sacha J van Albada
Journal of Computational Neuroscience|May 19, 2010
Estimating the contribution of assembly activity to cortical dynamics from spike and population measuresMichael Denker, Alexa Riehle, Markus Diesmann, et al.
Frontiers in Neuroscience|March 24, 2011
Finite post synaptic potentials cause a fast neuronal responseMoritz Helias, Moritz Deger, Stefan Rotter, et al.
Plos Computational Biology|October 3, 2012
Spike-timing dependence of structural plasticity explains cooperative synapse formation in the neocortexMoritz Deger, Moritz Helias, Stefan Rotter, et al.
Frontiers in Computational Neuroscience|February 5, 2010
Equilibrium and Response Properties of the Integrate-and-Fire Neuron in Discrete TimeMoritz Helias, Moritz Deger, Markus Diesmann, et al.
Plos Computational Biology|September 2, 2015
Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and CorrelationsSacha Jennifer van Albada, Moritz Helias, Markus Diesmann
Frontiers in Computational Neuroscience|October 24, 2013
A unified view on weakly correlated recurrent networksDmytro Grytskyy, Tom Tetzlaff, Markus Diesmann, et al.
Pageof 10

Showing results (21-30 of 99) with videos related to

Sort By:
Pageof 10
Frontiers in Neuroscience|January 10, 2022
Dynamical Characteristics of Recurrent Neuronal Networks Are Robust Against Low Synaptic Weight ResolutionStefan Dasbach, Tom Tetzlaff, Markus Diesmann, et al.
Plos Computational Biology|September 22, 2010
Instantaneous non-linear processing by pulse-coupled threshold unitsMoritz Helias, Moritz Deger, Stefan Rotter, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 14, 2019
Second type of criticality in the brain uncovers rich multiple-neuron dynamicsDavid Dahmen, Sonja Grün, Markus Diesmann, et al.
Frontiers in Computational Neuroscience|July 26, 2018
Criteria on Balance, Stability, and Excitability in Cortical Networks for Constraining Computational ModelsAndrei Maksimov, Markus Diesmann, Sacha J van Albada
Journal of Computational Neuroscience|May 19, 2010
Estimating the contribution of assembly activity to cortical dynamics from spike and population measuresMichael Denker, Alexa Riehle, Markus Diesmann, et al.
Frontiers in Neuroscience|March 24, 2011
Finite post synaptic potentials cause a fast neuronal responseMoritz Helias, Moritz Deger, Stefan Rotter, et al.
Plos Computational Biology|October 3, 2012
Spike-timing dependence of structural plasticity explains cooperative synapse formation in the neocortexMoritz Deger, Moritz Helias, Stefan Rotter, et al.
Frontiers in Computational Neuroscience|February 5, 2010
Equilibrium and Response Properties of the Integrate-and-Fire Neuron in Discrete TimeMoritz Helias, Moritz Deger, Markus Diesmann, et al.
Plos Computational Biology|September 2, 2015
Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and CorrelationsSacha Jennifer van Albada, Moritz Helias, Markus Diesmann
Frontiers in Computational Neuroscience|October 24, 2013
A unified view on weakly correlated recurrent networksDmytro Grytskyy, Tom Tetzlaff, Markus Diesmann, et al.
Pageof 10