Showing results 1 to 3 of 3
Anti-Hebbian learning of optimal homeostatic IPSG amplitude and decay time Kim, Jaekyung; Fiorillo, Christopher D, Neuroscience 2016 Annual Meeting, Annual Meeting of Society for Neuroscience, 2016-11-13 |
Describing realistic states of knowledge with exact probabilities Kim, Sunil L; Fiorillo, Christopher D, 35th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2015, American Institute of Physics Inc., 2015-07 |
Evidence that reward prediction errors account for tonic firing supports a unified model of the dopamine signal Song, Minryung; Fiorillo, Christopher D, Dopamine 2016, Medical University of Vienna, 2016-09-05 |
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