Search research articles
Contact Us
Filters
Showing results (1-10 of 31) with videos related to
Page
of 4
Sort By:
Pharmacopsychiatry
|
May 13, 2009
Dopamine, reinforcement learning, and addiction
P Dayan
Neural Computation
|
July 9, 1998
A hierarchical model of binocular rivalry
P Dayan
Current Opinion in Neurobiology
|
April 1, 1994
Computational modelling
P Dayan
Neural Computation
|
March 23, 1999
Recurrent sampling models for the Helmholtz machine
P Dayan
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
September 29, 2000
The involvement of recurrent connections in area CA3 in establishing the properties of place fields: a model
S Káli, P Dayan
Pharmacopsychiatry
|
March 2, 2006
Putting the computation back into computational modeling
P Dayan, J Williams
Network (Bristol, England)
|
June 18, 1999
Computational differences between asymmetrical and symmetrical networks
Z Li, P Dayan
Biological Cybernetics
|
January 1, 1991
Optimising synaptic learning rules in linear associative memories
P Dayan, D J Willshaw
Neural Computation
|
October 23, 1997
Factor analysis using delta-rule wake-sleep learning
R M Neal, P Dayan
Neural Computation
|
February 9, 1999
The effect of correlated variability on the accuracy of a population code
L F Abbott, P Dayan
Page
of 4
Search research articles
Search
Showing results (1-10 of 31) with videos related to
Sort By:
Page
of 4
Pharmacopsychiatry
|
May 13, 2009
Dopamine, reinforcement learning, and addiction
P Dayan
Neural Computation
|
July 9, 1998
A hierarchical model of binocular rivalry
P Dayan
Current Opinion in Neurobiology
|
April 1, 1994
Computational modelling
P Dayan
Neural Computation
|
March 23, 1999
Recurrent sampling models for the Helmholtz machine
P Dayan
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
September 29, 2000
The involvement of recurrent connections in area CA3 in establishing the properties of place fields: a model
S Káli, P Dayan
Pharmacopsychiatry
|
March 2, 2006
Putting the computation back into computational modeling
P Dayan, J Williams
Network (Bristol, England)
|
June 18, 1999
Computational differences between asymmetrical and symmetrical networks
Z Li, P Dayan
Biological Cybernetics
|
January 1, 1991
Optimising synaptic learning rules in linear associative memories
P Dayan, D J Willshaw
Neural Computation
|
October 23, 1997
Factor analysis using delta-rule wake-sleep learning
R M Neal, P Dayan
Neural Computation
|
February 9, 1999
The effect of correlated variability on the accuracy of a population code
L F Abbott, P Dayan
Page
of 4