Lista de obras -

A Normative Account of Confirmation Bias During Reinforcement Learning

artículo científico publicado en 2022

A canonical circuit for generating phase-amplitude coupling

artículo científico publicado en 2014

A comparison of bounded diffusion models for choice in time controlled tasks

artículo científico publicado en 2009

A deep learning framework for neuroscience

scientific article published on 28 October 2019

A tutorial on the free-energy framework for modelling perception and learning

artículo científico publicado en 2017

Action initiation shapes mesolimbic dopamine encoding of future rewards

artículo científico publicado en 2015

Adaptive sampling of information in perceptual decision-making

artículo científico publicado en 2013

An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity.

artículo científico publicado en 2017

An Infomax algorithm can perform both familiarity discrimination and feature extraction in a single network

artículo científico publicado en 2011

An association between prediction errors and risk-seeking: Theory and behavioral evidence

artículo científico publicado en 2021

Associative Memories via Predictive Coding

artículo científico publicado en 2021

Bounded Ornstein–Uhlenbeck models for two-choice time controlled tasks

Can the Brain Do Backpropagation? --- Exact Implementation of Backpropagation in Predictive Coding Networks ⬇️

Can the Brain Do Backpropagation? -Exact Implementation of Backpropagation in Predictive Coding Networks

artículo científico publicado en 2020

Comparison of computational models of familiarity discrimination in the perirhinal cortex

artículo científico publicado en 2003

Computational Models Describing Possible Mechanisms for Generation of Excessive Beta Oscillations in Parkinson's Disease

artículo científico publicado en 2015

Computational modeling and analysis of hippocampal-prefrontal information coding during a spatial decision-making task.

artículo científico publicado en 2014

Computational models can replicate the capacity of human recognition memory

artículo científico publicado en 2008

Conditions for the generation of beta oscillations in the subthalamic nucleus-globus pallidus network.

artículo científico publicado en 2010

Consistent Implementation of Decisions in the Brain ⬇️

artículo científico publicado el 12 de septiembre de 2012

Cortico-striatal connections predict control over speed and accuracy in perceptual decision making

artículo científico publicado en 2010

Deep Brain Stimulation of the Subthalamic Nucleus Does Not Affect the Decrease of Decision Threshold during the Choice Process When There Is No Conflict, Time Pressure, or Reward

artículo científico publicado en 2018

Deep brain stimulation abolishes slowing of reactions to unlikely stimuli.

artículo científico publicado en 2014

Dendritic Integration of Sensory Evidence in Perceptual Decision-Making

artículo científico publicado en 2018

Detection of synchronized oscillations in the electroencephalogram: an evaluation of methods

scientific article published on 01 November 2004

Distinct developmental origins manifest in the specialized encoding of movement by adult neurons of the external globus pallidus

artículo científico publicado en 2015

Distinct mechanisms mediate speed-accuracy adjustments in cortico-subthalamic networks

scientific article published on 31 January 2017

Distinct roles of dopamine and subthalamic nucleus in learning and probabilistic decision making

artículo científico publicado en 2012

Do humans produce the speed-accuracy trade-off that maximizes reward rate?

artículo científico publicado en 2009

Dopamine and Consolidation of Episodic Memory: Timing is Everything.

artículo científico publicado en 2015

Dopamine role in learning and action inference

artículo científico publicado en 2020

Dysfunctional prefrontal cortical network activity and interactions following cannabinoid receptor activation.

artículo científico publicado en 2011

Effective connectivity of the subthalamic nucleus-globus pallidus network during Parkinsonian oscillations.

artículo científico publicado en 2013

Effects of dopamine on reinforcement learning and consolidation in Parkinson's disease

artículo científico publicado en 2017

Emergence of Movement Sensitive Neurons' Properties by Learning a Sparse Code for Natural Moving Images ⬇️

Estimating the probability of New Zealand regions being free from COVID-19 using a stochastic SEIR model

artículo científico publicado en 2020

Extending a biologically inspired model of choice: multi-alternatives, nonlinearity and value-based multidimensional choice

artículo científico publicado en 2007

Extending a biologically inspired model of choice: multi-alternatives, nonlinearity, and value-based multidimensional choice

How to entrain a selected neuronal rhythm but not others: open-loop dithered brain stimulation for selective entrainment

artículo científico publicado en 2023

Improved conditions for the generation of beta oscillations in the subthalamic nucleus--globus pallidus network.

artículo científico publicado en 2012

Improved conditions for the generation of beta oscillations in the subthalamic nucleus-globus pallidus network

artículo científico publicado en 2012

Initiation and termination of integration in a decision process.

artículo científico publicado en 2009

Integration of reinforcement learning and optimal decision-making theories of the basal ganglia

artículo científico publicado en 2011

Learning Reward Uncertainty in the Basal Ganglia

artículo científico publicado en 2016

Learning the payoffs and costs of actions

artículo científico publicado en 2019

Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats

artículo científico publicado en 2012

Mammalian choices: combining fast-but-inaccurate and slow-but-accurate decision-making systems

article

Mechanisms Underlying Decision-Making as Revealed by Deep-Brain Stimulation in Patients with Parkinson's Disease

artículo científico publicado en 2018

Modeling the effects of motivation on choice and learning in the basal ganglia

scientific article published on 26 May 2020

Neural Circuits Trained with Standard Reinforcement Learning Can Accumulate Probabilistic Information during Decision Making

artículo científico publicado en 2016

Neural Correlates of Decision Thresholds in the Human Subthalamic Nucleus.

artículo científico publicado en 2016

Neuroscience: Impaired Decision-Making in Parkinson's Disease

artículo científico publicado en 2016

On optimal decision-making in brains and social insect colonies

artículo científico publicado en 2009

Optimal closed-loop deep brain stimulation using multiple independently controlled contacts

artículo científico publicado en 2021

Optimal decision making on the basis of evidence represented in spike trains

artículo científico publicado en 2010

Optimal decision network with distributed representation

artículo científico publicado en 2007

Optimal decision-making theories: linking neurobiology with behaviour

artículo científico publicado en 2007

Oscillatory mechanisms of selective integration during decision making

artículo científico publicado en 2011

Overcoming indecision by changing the decision boundary

artículo científico publicado en 2017

Parameterization of connectionist models

artículo científico publicado en 2004

Phase-dependence of response curves to deep brain stimulation and their relationship: from essential tremor patient data to a Wilson-Cowan model

artículo científico publicado en 2020

Posterior weighted reinforcement learning with state uncertainty.

artículo científico publicado en 2010

Predicting beta bursts from local field potentials to improve closed-loop DBS paradigms in Parkinson's patients.

artículo científico publicado en 2018

Predicting the effects of deep brain stimulation using a reduced coupled oscillator model

scientific article published on 08 August 2019

Properties of Neurons in External Globus Pallidus Can Support Optimal Action Selection

artículo científico publicado en 2016

Quantifying phase-amplitude coupling in neuronal network oscillations.

scientific article published on 30 September 2010

Reduction of influence of task difficulty on perceptual decision making by STN deep brain stimulation

artículo científico publicado en 2013

Selective Effects of the Loss of NMDA or mGluR5 Receptors in the Reward System on Adaptive Decision-Making

article

Short-term memory traces for action bias in human reinforcement learning

artículo científico publicado en 2007

The basal ganglia and cortex implement optimal decision making between alternative actions

artículo científico publicado en 2007

The neural basis of the speed-accuracy tradeoff

artículo científico publicado en 2009

The neural mechanisms of learning from competitors

artículo científico publicado en 2010

The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks

artículo científico publicado en 2006

The restricted influence of sparseness of coding on the capacity of familiarity discrimination networks

artículo científico publicado en 2002

The subthalamic nucleus during decision-making with multiple alternatives

artículo científico publicado en 2015

Theories of Error Back-Propagation in the Brain

Theta phase resetting and the error-related negativity

artículo científico publicado en 2007

Time-varying decision boundaries: insights from optimality analysis.

artículo científico publicado en 2018

Uncertainty–guided learning with scaled prediction errors in the basal ganglia

scientific article published on 27 May 2022

Lista de obras de

A Normative Account of Confirmation Bias During Reinforcement Learning

A canonical circuit for generating phase-amplitude coupling

A comparison of bounded diffusion models for choice in time controlled tasks

A deep learning framework for neuroscience

A tutorial on the free-energy framework for modelling perception and learning

Action initiation shapes mesolimbic dopamine encoding of future rewards

Adaptive sampling of information in perceptual decision-making

An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity.

An Infomax algorithm can perform both familiarity discrimination and feature extraction in a single network

An association between prediction errors and risk-seeking: Theory and behavioral evidence

Associative Memories via Predictive Coding

Bounded Ornstein–Uhlenbeck models for two-choice time controlled tasks

Can the Brain Do Backpropagation? --- Exact Implementation of Backpropagation in Predictive Coding Networks ⬇️

Can the Brain Do Backpropagation? -Exact Implementation of Backpropagation in Predictive Coding Networks

Comparison of computational models of familiarity discrimination in the perirhinal cortex

Computational Models Describing Possible Mechanisms for Generation of Excessive Beta Oscillations in Parkinson's Disease

Computational modeling and analysis of hippocampal-prefrontal information coding during a spatial decision-making task.

Computational models can replicate the capacity of human recognition memory

Conditions for the generation of beta oscillations in the subthalamic nucleus-globus pallidus network.

Consistent Implementation of Decisions in the Brain ⬇️

Cortico-striatal connections predict control over speed and accuracy in perceptual decision making

Deep Brain Stimulation of the Subthalamic Nucleus Does Not Affect the Decrease of Decision Threshold during the Choice Process When There Is No Conflict, Time Pressure, or Reward

Deep brain stimulation abolishes slowing of reactions to unlikely stimuli.

Dendritic Integration of Sensory Evidence in Perceptual Decision-Making

Detection of synchronized oscillations in the electroencephalogram: an evaluation of methods

Distinct developmental origins manifest in the specialized encoding of movement by adult neurons of the external globus pallidus

Distinct mechanisms mediate speed-accuracy adjustments in cortico-subthalamic networks

Distinct roles of dopamine and subthalamic nucleus in learning and probabilistic decision making

Do humans produce the speed-accuracy trade-off that maximizes reward rate?

Dopamine and Consolidation of Episodic Memory: Timing is Everything.

Dopamine role in learning and action inference

Dysfunctional prefrontal cortical network activity and interactions following cannabinoid receptor activation.

Effective connectivity of the subthalamic nucleus-globus pallidus network during Parkinsonian oscillations.

Effects of dopamine on reinforcement learning and consolidation in Parkinson's disease

Emergence of Movement Sensitive Neurons' Properties by Learning a Sparse Code for Natural Moving Images ⬇️

Estimating the probability of New Zealand regions being free from COVID-19 using a stochastic SEIR model

Extending a biologically inspired model of choice: multi-alternatives, nonlinearity and value-based multidimensional choice

Extending a biologically inspired model of choice: multi-alternatives, nonlinearity, and value-based multidimensional choice

How to entrain a selected neuronal rhythm but not others: open-loop dithered brain stimulation for selective entrainment

Improved conditions for the generation of beta oscillations in the subthalamic nucleus--globus pallidus network.

Improved conditions for the generation of beta oscillations in the subthalamic nucleus-globus pallidus network

Initiation and termination of integration in a decision process.

Integration of reinforcement learning and optimal decision-making theories of the basal ganglia

Learning Reward Uncertainty in the Basal Ganglia

Learning the payoffs and costs of actions

Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats

Mammalian choices: combining fast-but-inaccurate and slow-but-accurate decision-making systems

Mechanisms Underlying Decision-Making as Revealed by Deep-Brain Stimulation in Patients with Parkinson's Disease

Modeling the effects of motivation on choice and learning in the basal ganglia

Neural Circuits Trained with Standard Reinforcement Learning Can Accumulate Probabilistic Information during Decision Making

Neural Correlates of Decision Thresholds in the Human Subthalamic Nucleus.

Neuroscience: Impaired Decision-Making in Parkinson's Disease

On optimal decision-making in brains and social insect colonies

Optimal closed-loop deep brain stimulation using multiple independently controlled contacts

Optimal decision making on the basis of evidence represented in spike trains

Optimal decision network with distributed representation

Optimal decision-making theories: linking neurobiology with behaviour

Oscillatory mechanisms of selective integration during decision making

Overcoming indecision by changing the decision boundary

Parameterization of connectionist models

Phase-dependence of response curves to deep brain stimulation and their relationship: from essential tremor patient data to a Wilson-Cowan model

Posterior weighted reinforcement learning with state uncertainty.

Predicting beta bursts from local field potentials to improve closed-loop DBS paradigms in Parkinson's patients.

Predicting the effects of deep brain stimulation using a reduced coupled oscillator model

Properties of Neurons in External Globus Pallidus Can Support Optimal Action Selection

Quantifying phase-amplitude coupling in neuronal network oscillations.

Reduction of influence of task difficulty on perceptual decision making by STN deep brain stimulation

Selective Effects of the Loss of NMDA or mGluR5 Receptors in the Reward System on Adaptive Decision-Making

Short-term memory traces for action bias in human reinforcement learning

The basal ganglia and cortex implement optimal decision making between alternative actions

The neural basis of the speed-accuracy tradeoff

The neural mechanisms of learning from competitors

The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks

The restricted influence of sparseness of coding on the capacity of familiarity discrimination networks

The subthalamic nucleus during decision-making with multiple alternatives

Theories of Error Back-Propagation in the Brain

Theta phase resetting and the error-related negativity

Time-varying decision boundaries: insights from optimality analysis.

Uncertainty–guided learning with scaled prediction errors in the basal ganglia