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

Buonomano

Showing results (11-20 of 106) with videos related to

Pageof 11
Sort By:
Neuron|August 28, 2009
Harnessing chaos in recurrent neural networksDean V Buonomano
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|August 6, 1999
Distinct functional types of associative long-term potentiation in neocortical and hippocampal pyramidal neuronsD V Buonomano
Journal of Neurophysiology|September 15, 2005
A learning rule for the emergence of stable dynamics and timing in recurrent networksDean V Buonomano
Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics|May 1, 1995
Escape from a fluctuating double wellMadureira, Hänggi, Buonomano, et al.
Scientific Reports|September 5, 2020
Decreased reproducibility and abnormal experience-dependent plasticity of network dynamics in Fragile X circuitsHelen Motanis, Dean Buonomano
The European Journal of Neuroscience|July 4, 2015
Delayed in vitro development of Up states but normal network plasticity in Fragile X circuitsHelen Motanis, Dean Buonomano
Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics|September 1, 1995
Erratum: Escape from a fluctuating double wellMadureira, Hänggi, Buonomano, et al.
Nature Reviews. Neuroscience|January 16, 2009
State-dependent computations: spatiotemporal processing in cortical networksDean V Buonomano, Wolfgang Maass
Neural Computation|February 9, 1999
A neural network model of temporal code generation and position-invariant pattern recognitionD V Buonomano, M Merzenich
Behavioral Neuroscience|April 21, 2022
Neural population clocks: Encoding time in dynamic patterns of neural activityShanglin Zhou, Dean V Buonomano
Pageof 11

Showing results (11-20 of 106) with videos related to

Sort By:
Pageof 11
Neuron|August 28, 2009
Harnessing chaos in recurrent neural networksDean V Buonomano
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|August 6, 1999
Distinct functional types of associative long-term potentiation in neocortical and hippocampal pyramidal neuronsD V Buonomano
Journal of Neurophysiology|September 15, 2005
A learning rule for the emergence of stable dynamics and timing in recurrent networksDean V Buonomano
Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics|May 1, 1995
Escape from a fluctuating double wellMadureira, Hänggi, Buonomano, et al.
Scientific Reports|September 5, 2020
Decreased reproducibility and abnormal experience-dependent plasticity of network dynamics in Fragile X circuitsHelen Motanis, Dean Buonomano
The European Journal of Neuroscience|July 4, 2015
Delayed in vitro development of Up states but normal network plasticity in Fragile X circuitsHelen Motanis, Dean Buonomano
Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics|September 1, 1995
Erratum: Escape from a fluctuating double wellMadureira, Hänggi, Buonomano, et al.
Nature Reviews. Neuroscience|January 16, 2009
State-dependent computations: spatiotemporal processing in cortical networksDean V Buonomano, Wolfgang Maass
Neural Computation|February 9, 1999
A neural network model of temporal code generation and position-invariant pattern recognitionD V Buonomano, M Merzenich
Behavioral Neuroscience|April 21, 2022
Neural population clocks: Encoding time in dynamic patterns of neural activityShanglin Zhou, Dean V Buonomano
Pageof 11