Search research articles
Contact Us
Filters
Showing results (1-10 of 40) with videos related to
Page
of 4
Sort By:
Physics of Life Reviews
|
November 4, 2025
Getting surprise under control: Via active inference or meta-reinforcement learning?
Massimo Silvetti, Eliana Vassena
Frontiers in Human Neuroscience
|
June 1, 2016
Commentary: The Role of the Parietal Cortex in the Representation of Task-Reward Associations
Elger L Abrahamse, Massimo Silvetti
Frontiers in Behavioral Neuroscience
|
March 26, 2015
Adaptive effort investment in cognitive and physical tasks: a neurocomputational model
Tom Verguts, Eliana Vassena, Massimo Silvetti
Frontiers in Human Neuroscience
|
September 3, 2011
Value and prediction error in medial frontal cortex: integrating the single-unit and systems levels of analysis
Massimo Silvetti, Ruth Seurinck, Tom Verguts
Neuropsychologia
|
May 22, 2007
Object-centred neglect: simulation with head-centred coding based on Gaussian gaze-dependent units
Massimo Silvetti, Eliano Pessa, Fabrizio Doricchi
IBRO Neuroscience Reports
|
October 17, 2022
The Neurodegenerative Elderly Syndrome (NES) hypothesis: Alzheimer and Parkinson are two faces of the same disease
Daniele Caligiore, Flora Giocondo, Massimo Silvetti
Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
|
June 22, 2012
Value and prediction error estimation account for volatility effects in ACC: a model-based fMRI study
Massimo Silvetti, Ruth Seurinck, Tom Verguts
Cerebral Cortex (New York, N.Y. : 1991)
|
October 23, 2009
Neural correlates of the spatial and expectancy components of endogenous and stimulus-driven orienting of attention in the Posner task
Fabrizio Doricchi, Enrica Macci, Massimo Silvetti, et al.
Plos Computational Biology
|
August 25, 2018
Dorsal anterior cingulate-brainstem ensemble as a reinforcement meta-learner
Massimo Silvetti, Eliana Vassena, Elger Abrahamse, et al.
The Behavioral and Brain Sciences
|
September 23, 2024
The reinforcement metalearner as a biologically plausible meta-learning framework
Tim Vriens, Mattias Horan, Jacqueline Gottlieb, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 40) with videos related to
Sort By:
Page
of 4
Physics of Life Reviews
|
November 4, 2025
Getting surprise under control: Via active inference or meta-reinforcement learning?
Massimo Silvetti, Eliana Vassena
Frontiers in Human Neuroscience
|
June 1, 2016
Commentary: The Role of the Parietal Cortex in the Representation of Task-Reward Associations
Elger L Abrahamse, Massimo Silvetti
Frontiers in Behavioral Neuroscience
|
March 26, 2015
Adaptive effort investment in cognitive and physical tasks: a neurocomputational model
Tom Verguts, Eliana Vassena, Massimo Silvetti
Frontiers in Human Neuroscience
|
September 3, 2011
Value and prediction error in medial frontal cortex: integrating the single-unit and systems levels of analysis
Massimo Silvetti, Ruth Seurinck, Tom Verguts
Neuropsychologia
|
May 22, 2007
Object-centred neglect: simulation with head-centred coding based on Gaussian gaze-dependent units
Massimo Silvetti, Eliano Pessa, Fabrizio Doricchi
IBRO Neuroscience Reports
|
October 17, 2022
The Neurodegenerative Elderly Syndrome (NES) hypothesis: Alzheimer and Parkinson are two faces of the same disease
Daniele Caligiore, Flora Giocondo, Massimo Silvetti
Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
|
June 22, 2012
Value and prediction error estimation account for volatility effects in ACC: a model-based fMRI study
Massimo Silvetti, Ruth Seurinck, Tom Verguts
Cerebral Cortex (New York, N.Y. : 1991)
|
October 23, 2009
Neural correlates of the spatial and expectancy components of endogenous and stimulus-driven orienting of attention in the Posner task
Fabrizio Doricchi, Enrica Macci, Massimo Silvetti, et al.
Plos Computational Biology
|
August 25, 2018
Dorsal anterior cingulate-brainstem ensemble as a reinforcement meta-learner
Massimo Silvetti, Eliana Vassena, Elger Abrahamse, et al.
The Behavioral and Brain Sciences
|
September 23, 2024
The reinforcement metalearner as a biologically plausible meta-learning framework
Tim Vriens, Mattias Horan, Jacqueline Gottlieb, et al.
Page
of 4