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

Takashi Kanamaru

Showing results (1-10 of 18) with videos related to

Pageof 2
Sort By:
Neural Networks : the Official Journal of the International Neural Network Society|August 11, 2007
Chaotic pattern transitions in pulse neural networksTakashi Kanamaru
Neural Computation|December 9, 2017
Quantifying Strength of Chaos in the Population Firing Rate of NeuronsTakashi Kanamaru
Neural Computation|April 15, 2017
Chaotic Pattern Alternations Can Reproduce Properties of Dominance Durations in Multistable PerceptionTakashi Kanamaru
Neural Computation|April 6, 2006
Analysis of synchronization between two modules of pulse neural networks with excitatory and inhibitory connectionsTakashi Kanamaru
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 12, 2003
Analysis of globally connected active rotators with excitatory and inhibitory connections using the Fokker-Planck equationTakashi Kanamaru, Masatoshi Sekine
IEEE Transactions on Neural Networks|October 16, 2004
An analysis of globally connected active rotators with excitatory and inhibitory connections having different time constants using the nonlinear Fokker-Planck equationsTakashi Kanamaru, Masatoshi Sekine
Neural Computation|March 5, 2026
Force Learning in Balanced Cortical E-I NetworksTakashi Kanamaru, Kazuyuki Aihara
Plos One|October 8, 2019
Acetylcholine-mediated top-down attention improves the response to bottom-up inputs by deformation of the attractor landscapeTakashi Kanamaru, Kazuyuki Aihara
Biological Cybernetics|May 4, 2005
Detecting chaotic structures in noisy pulse trains based on interspike interval reconstructionTakashi Kanamaru, Masatoshi Sekine
Neural Computation|April 5, 2008
Stochastic synchrony of chaos in a pulse-coupled neural network with both chemical and electrical synapses among inhibitory neuronsTakashi Kanamaru, Kazuyuki Aihara
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Neural Networks : the Official Journal of the International Neural Network Society|August 11, 2007
Chaotic pattern transitions in pulse neural networksTakashi Kanamaru
Neural Computation|December 9, 2017
Quantifying Strength of Chaos in the Population Firing Rate of NeuronsTakashi Kanamaru
Neural Computation|April 15, 2017
Chaotic Pattern Alternations Can Reproduce Properties of Dominance Durations in Multistable PerceptionTakashi Kanamaru
Neural Computation|April 6, 2006
Analysis of synchronization between two modules of pulse neural networks with excitatory and inhibitory connectionsTakashi Kanamaru
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 12, 2003
Analysis of globally connected active rotators with excitatory and inhibitory connections using the Fokker-Planck equationTakashi Kanamaru, Masatoshi Sekine
IEEE Transactions on Neural Networks|October 16, 2004
An analysis of globally connected active rotators with excitatory and inhibitory connections having different time constants using the nonlinear Fokker-Planck equationsTakashi Kanamaru, Masatoshi Sekine
Neural Computation|March 5, 2026
Force Learning in Balanced Cortical E-I NetworksTakashi Kanamaru, Kazuyuki Aihara
Plos One|October 8, 2019
Acetylcholine-mediated top-down attention improves the response to bottom-up inputs by deformation of the attractor landscapeTakashi Kanamaru, Kazuyuki Aihara
Biological Cybernetics|May 4, 2005
Detecting chaotic structures in noisy pulse trains based on interspike interval reconstructionTakashi Kanamaru, Masatoshi Sekine
Neural Computation|April 5, 2008
Stochastic synchrony of chaos in a pulse-coupled neural network with both chemical and electrical synapses among inhibitory neuronsTakashi Kanamaru, Kazuyuki Aihara
Pageof 2