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Plos One
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October 2, 2008
Towards a general theory of neural computation based on prediction by single neurons
Christopher D Fiorillo
Nature Reviews. Neuroscience
|
July 16, 2010
A neurocentric approach to Bayesian inference
Christopher D Fiorillo
Science (New York, N.Y.)
|
August 3, 2013
Two dimensions of value: dopamine neurons represent reward but not aversiveness
Christopher D Fiorillo
Nature Communications
|
March 11, 2017
Theory of optimal balance predicts and explains the amplitude and decay time of synaptic inhibition
Jaekyung K Kim, Christopher D Fiorillo
Science (New York, N.Y.)
|
March 22, 2003
Discrete coding of reward probability and uncertainty by dopamine neurons
Christopher D Fiorillo, Philippe N Tobler, Wolfram Schultz
Science (New York, N.Y.)
|
March 12, 2005
Adaptive coding of reward value by dopamine neurons
Philippe N Tobler, Christopher D Fiorillo, Wolfram Schultz
Behavioral and Brain Functions : BBF
|
June 17, 2005
Evidence that the delay-period activity of dopamine neurons corresponds to reward uncertainty rather than backpropagating TD errors
Christopher D Fiorillo, Philippe N Tobler, Wolfram Schultz
Nature Neuroscience
|
July 29, 2008
The temporal precision of reward prediction in dopamine neurons
Christopher D Fiorillo, William T Newsome, Wolfram Schultz
Frontiers in Computational Neuroscience
|
September 16, 2014
T-type calcium channels promote predictive homeostasis of input-output relations in thalamocortical neurons of lateral geniculate nucleus
Su Z Hong, Haram R Kim, Christopher D Fiorillo
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
March 15, 2013
Diversity and homogeneity in responses of midbrain dopamine neurons
Christopher D Fiorillo, Sora R Yun, Minryung R Song
Page
of 2
Search research articles
Search
Showing results (1-10 of 15) with videos related to
Sort By:
Page
of 2
Plos One
|
October 2, 2008
Towards a general theory of neural computation based on prediction by single neurons
Christopher D Fiorillo
Nature Reviews. Neuroscience
|
July 16, 2010
A neurocentric approach to Bayesian inference
Christopher D Fiorillo
Science (New York, N.Y.)
|
August 3, 2013
Two dimensions of value: dopamine neurons represent reward but not aversiveness
Christopher D Fiorillo
Nature Communications
|
March 11, 2017
Theory of optimal balance predicts and explains the amplitude and decay time of synaptic inhibition
Jaekyung K Kim, Christopher D Fiorillo
Science (New York, N.Y.)
|
March 22, 2003
Discrete coding of reward probability and uncertainty by dopamine neurons
Christopher D Fiorillo, Philippe N Tobler, Wolfram Schultz
Science (New York, N.Y.)
|
March 12, 2005
Adaptive coding of reward value by dopamine neurons
Philippe N Tobler, Christopher D Fiorillo, Wolfram Schultz
Behavioral and Brain Functions : BBF
|
June 17, 2005
Evidence that the delay-period activity of dopamine neurons corresponds to reward uncertainty rather than backpropagating TD errors
Christopher D Fiorillo, Philippe N Tobler, Wolfram Schultz
Nature Neuroscience
|
July 29, 2008
The temporal precision of reward prediction in dopamine neurons
Christopher D Fiorillo, William T Newsome, Wolfram Schultz
Frontiers in Computational Neuroscience
|
September 16, 2014
T-type calcium channels promote predictive homeostasis of input-output relations in thalamocortical neurons of lateral geniculate nucleus
Su Z Hong, Haram R Kim, Christopher D Fiorillo
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
March 15, 2013
Diversity and homogeneity in responses of midbrain dopamine neurons
Christopher D Fiorillo, Sora R Yun, Minryung R Song
Page
of 2