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Upcoming Talks
Upcoming Talks
To be announced!
To be announced!
Previous Talks
Previous Talks
December 1, 2023
December 1, 2023
Serotonin predictively encodes value
Serotonin predictively encodes value
Speaker: Emerson Harkin
Speaker: Emerson Harkin
November 6, 2023
November 6, 2023
Human cortical cultures and artificial models: Understanding individuals with epilepsy
Human cortical cultures and artificial models: Understanding individuals with epilepsy
Speaker: Chris Currin
Speaker: Chris Currin
October 27, 2023
October 27, 2023
Principles of Network Plasticity in Neocortical Microcircuits
Principles of Network Plasticity in Neocortical Microcircuits
Speaker: Michael Reimann
Speaker: Michael Reimann
August 25, 2023
August 25, 2023
Speaker: Guillaume Durandau
Speaker: Guillaume Durandau
August 18, 2023
August 18, 2023
Geometry of neural networks with biological structure: Randomness vs. structure and learning
Geometry of neural networks with biological structure: Randomness vs. structure and learning
Speaker: Kameron Decker Harris
Speaker: Kameron Decker Harris
August 11, 2023
August 11, 2023
Semantic scene descriptions as an objective of human vision
Semantic scene descriptions as an objective of human vision
Speaker: Adrien Doerig
Speaker: Adrien Doerig
June 23, 2023
June 23, 2023
A theory of representation learning gives a deep generalisation of kernel methods, and implications for the brain
A theory of representation learning gives a deep generalisation of kernel methods, and implications for the brain
Speaker: Laurence Aitchison
Speaker: Laurence Aitchison
June 2, 2023
June 2, 2023
Architectural foundations of flexible, robust and efficient cognitive motor control
Architectural foundations of flexible, robust and efficient cognitive motor control
Speaker: Laureline Logiaco
Speaker: Laureline Logiaco
May 12, 2023
May 12, 2023
Network inference via process motifs for lagged correlation in linear stochastic processes
Network inference via process motifs for lagged correlation in linear stochastic processes
Speaker: Alice Schwarze
Speaker: Alice Schwarze
April 28, 2023
April 28, 2023
Deep Active Inference
Deep Active Inference
Speaker: Noor Sajid
Speaker: Noor Sajid
February 24, 2023
February 24, 2023
Representational Dissimilarity Metric Spaces for Stochastic Neural Networks
Representational Dissimilarity Metric Spaces for Stochastic Neural Networks
Speaker: Lyndon Duong
Speaker: Lyndon Duong
January 27, 2023
January 27, 2023
α-ReQ: Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay
α-ReQ: Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay
Speaker: Arna Ghosh
Speaker: Arna Ghosh
November 18, 2022
November 18, 2022
AI for neuroscience: data-driven models of information processing and learning
AI for neuroscience: data-driven models of information processing and learning
Speaker: Guillaume Bellec
Speaker: Guillaume Bellec
November 11, 2022
November 11, 2022
Dopaminergic Reinforcement Learning Models for High-Dimensional Tasks
Dopaminergic Reinforcement Learning Models for High-Dimensional Tasks
Speaker: Rachel Lee
Speaker: Rachel Lee
October 28, 2022
October 28, 2022
AI for brain interfaces: challenges and opportunities (Special talk organized with support from UNIQUE)
AI for brain interfaces: challenges and opportunities (Special talk organized with support from UNIQUE)
Speaker: Philip Sabes
Speaker: Philip Sabes
October 21, 2022
October 21, 2022
Modelling neural control of motion stabilization using recurrent neural networks
Modelling neural control of motion stabilization using recurrent neural networks
Speaker: Olivier Codol
Speaker: Olivier Codol
October 14, 2022
October 14, 2022
Biological reinforcement learning in hippocampus
Biological reinforcement learning in hippocampus
Speaker: Tom George
Speaker: Tom George
October 7, 2022
October 7, 2022
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules
Speaker: Helena Liu
Speaker: Helena Liu
September 16, 2022
September 16, 2022
Multi-Object Representation and Prediction in the Primate Brain
Multi-Object Representation and Prediction in the Primate Brain
Speaker: Nicholas Watters
Speaker: Nicholas Watters
September 9, 2022
September 9, 2022
Characterizing Mental Representations using Deep Image Synthesis and Behavior
Characterizing Mental Representations using Deep Image Synthesis and Behavior
Speaker: Laurent Caplette
Speaker: Laurent Caplette
April 22, 2022
April 22, 2022
Neural representations of active vision
Neural representations of active vision
Speaker: Elliott Abe
Speaker: Elliott Abe
April 8, 2022
April 8, 2022
System 2 GFlowNets and System 2 Cognitive Neuroscience
System 2 GFlowNets and System 2 Cognitive Neuroscience
Speaker: Yoshua Bengio
Speaker: Yoshua Bengio
February 11, 2022
February 11, 2022
When to retrieve and encode episodic memories: a neural network model of hippocampal-cortical interaction
When to retrieve and encode episodic memories: a neural network model of hippocampal-cortical interaction
Speaker: Qihong Lu
Speaker: Qihong Lu
February 4, 2022
February 4, 2022
On biological plausibility of weight sharing
On biological plausibility of weight sharing
Speaker: Roman Pogodin
Speaker: Roman Pogodin
January 28, 2022
January 28, 2022
Learning Hierarchical Temporal Representations through Dynamic Predictive Coding
Learning Hierarchical Temporal Representations through Dynamic Predictive Coding
Speaker: Preston Jiang
Speaker: Preston Jiang
January 21, 2022
January 21, 2022
Welcome Event, Winter 2022
Welcome Event, Winter 2022
Speakers: Blake Richards, Doina Precup, Guillaume Lajoie, Irina Rish, Karim Jerbi, Eilif Muller, Guillaume Dumas, Pouya Bashivan
Speakers: Blake Richards, Doina Precup, Guillaume Lajoie, Irina Rish, Karim Jerbi, Eilif Muller, Guillaume Dumas, Pouya Bashivan
November 19, 2021
November 19, 2021
Lifelong Learning: Theory and Practice
Lifelong Learning: Theory and Practice
Speaker: Joshua T. Vogelstein
Speaker: Joshua T. Vogelstein
November 12, 2021
November 12, 2021
Structure, Function, and Learning in Distributed Neuronal Networks
Structure, Function, and Learning in Distributed Neuronal Networks
Speaker: SueYeon Chung
Speaker: SueYeon Chung
October 15, 2021
October 15, 2021
Distributed TD Learning in a Heterogeneous Dopamine System
Distributed TD Learning in a Heterogeneous Dopamine System
Speaker: Pablo Tano
Speaker: Pablo Tano
October 1, 2021
October 1, 2021
The story of a recurrent neural network’s training from initialization to task mastery
The story of a recurrent neural network’s training from initialization to task mastery
Speaker: Owen Marschall
Speaker: Owen Marschall
September 17, 2021
September 17, 2021
Visual Routines in brains and machines
Visual Routines in brains and machines
Speaker: Drew Linsley
Speaker: Drew Linsley
June 25, 2021
June 25, 2021
A rapid and efficient learning rule for biological neural circuits
A rapid and efficient learning rule for biological neural circuits
Speaker: Agnieszka Grabska-Barwińska
Speaker: Agnieszka Grabska-Barwińska
June 4, 2021
June 4, 2021
Vision as Bayesian inference: promise and pitfalls
Vision as Bayesian inference: promise and pitfalls
Speaker: Richard Lange
Speaker: Richard Lange
May 21, 2021
May 21, 2021
Creative memory semantization through adversarial dreaming
Creative memory semantization through adversarial dreaming
Speaker: Nicolas Deperrois
Speaker: Nicolas Deperrois
May 7, 2021
May 7, 2021
The computational origin of human representation
The computational origin of human representation
Speaker: Steven Piantadosi
Speaker: Steven Piantadosi
April 23, 2021
April 23, 2021
A unique coding of memories in the human brain
A unique coding of memories in the human brain
Speaker: Rodrigo Quian Quiroga
Speaker: Rodrigo Quian Quiroga
April 9, 2021
April 9, 2021
Context-gated Feature Representations for Multi-Task Learning in Humans and Neural Networks.
Context-gated Feature Representations for Multi-Task Learning in Humans and Neural Networks.
Speaker: Timo Flesch
Speaker: Timo Flesch
March 26, 2021
March 26, 2021
Impression learning: online predictive coding with synaptic plasticity
Impression learning: online predictive coding with synaptic plasticity
Speaker: Colin Bredenberg
Speaker: Colin Bredenberg
March 12, 2021
March 12, 2021
What songbirds can tell us about reinforcement learning
What songbirds can tell us about reinforcement learning
Speaker: Anja Zai
Speaker: Anja Zai
February 26, 2021
February 26, 2021
Speaker: Rishabh Agarwal
Speaker: Rishabh Agarwal
February 5, 2021
February 5, 2021
Temporal credit assignment with eligibility traces and predictions
Temporal credit assignment with eligibility traces and predictions
Speaker: Guillaume Bellec
Speaker: Guillaume Bellec
January 22, 2021
January 22, 2021
A diversity of discounting horizons explains ramping diversity in dopamine-based reinforcement learning
A diversity of discounting horizons explains ramping diversity in dopamine-based reinforcement learning
Speaker: Paul Masset
Speaker: Paul Masset
January 15, 2021
January 15, 2021
Reward prediction errors shape memory during reinforcement learning
Reward prediction errors shape memory during reinforcement learning
Speaker: Nina Rouhani
Speaker: Nina Rouhani
November 20, 2020
November 20, 2020
Inferring implicit inference (III)
Inferring implicit inference (III)
Speaker: Xaq Pitkow
Speaker: Xaq Pitkow
November 13, 2020
November 13, 2020
Exploring the Cognitive-Motor Interface
Exploring the Cognitive-Motor Interface
Speaker: John Krakauer
Speaker: John Krakauer
November 6, 2020
November 6, 2020
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
Speaker: Irina Higgins
Speaker: Irina Higgins
October 30, 2020
October 30, 2020
The Temporal Dynamics of Opportunity Costs: A Normative Account of Cognitive Fatigue and Boredom
The Temporal Dynamics of Opportunity Costs: A Normative Account of Cognitive Fatigue and Boredom
Speaker: Mayank Agrawal
Speaker: Mayank Agrawal
October 2, 2020
October 2, 2020
Replay slows down with experience
Replay slows down with experience
Speaker: Alice Berners-Lee
Speaker: Alice Berners-Lee
September 25, 2020
September 25, 2020
Behavioral algorithms: flexible, robust, and generalizable behavior in the natural world
Behavioral algorithms: flexible, robust, and generalizable behavior in the natural world
Speaker: Andrew Hein
Speaker: Andrew Hein
September 18, 2020
September 18, 2020
Prioritized experience replay supports planning and non-local learning
Prioritized experience replay supports planning and non-local learning
Speaker: Marcelo Mattar
Speaker: Marcelo Mattar
September 11, 2020
September 11, 2020
Continual Reinforcement Learning with Memory at Multiple Timescales
Continual Reinforcement Learning with Memory at Multiple Timescales
Speaker: Christos Kaplanis
Speaker: Christos Kaplanis
July 24, 2020
July 24, 2020
Computational mechanisms of selective attention during human reinforcement learning
Computational mechanisms of selective attention during human reinforcement learning
Speaker: Angela Radulescu
Speaker: Angela Radulescu
July 10, 2020
July 10, 2020
Evidence for hierarchically-structured reinforcement learning in humans
Evidence for hierarchically-structured reinforcement learning in humans
Speaker: Maria Ekstein
Speaker: Maria Ekstein
July 3, 2020
July 3, 2020
The role of the hippocampus in memory and problem solving
The role of the hippocampus in memory and problem solving
Speaker: Signy Sheldon
Speaker: Signy Sheldon
June 25, 2020
June 25, 2020
Dynamic resource allocation during reinforcement learning accounts for ramping and phasic dopamine activity
Dynamic resource allocation during reinforcement learning accounts for ramping and phasic dopamine activity
Speaker: Minryung Song
Speaker: Minryung Song
June 19, 2020
June 19, 2020
Probabilistic successor representations allow for flexible behaviour
Probabilistic successor representations allow for flexible behaviour
Speaker: Jesse Geerts
Speaker: Jesse Geerts
May 29, 2020
May 29, 2020
Prioritization of mental simulations for planning
Prioritization of mental simulations for planning
Speaker: Emma Krause
Speaker: Emma Krause
May 15, 2020
May 15, 2020
Temporal and state abstractions for efficient learning, transfer and composition in humans
Temporal and state abstractions for efficient learning, transfer and composition in humans
Speaker: Jimmy Xia
Speaker: Jimmy Xia
April 24, 2020
April 24, 2020
How, when and why do we make reflective versus reflexive choices
How, when and why do we make reflective versus reflexive choices
Speaker: Ross Otto
Speaker: Ross Otto
March 27, 2020
March 27, 2020
NeuroQuery: predictive meta-analysis of the neuroimaging literature
NeuroQuery: predictive meta-analysis of the neuroimaging literature
Speaker: Jérôme Dockès
Speaker: Jérôme Dockès
February 28, 2020
February 28, 2020
Towards New AI: Feeling Machines, Homeostatically Motivated Intelligence and Scale-free Cognition
Towards New AI: Feeling Machines, Homeostatically Motivated Intelligence and Scale-free Cognition
Speaker: Irina Rish
Speaker: Irina Rish
February 14, 2020
February 14, 2020
A reductionist approach to interpreting neural networks that learn
A reductionist approach to interpreting neural networks that learn
Speaker: Matthew Farrell
Speaker: Matthew Farrell
January 31, 2020
January 31, 2020
Half-Day Workshop on Neural Backpropagation
Half-Day Workshop on Neural Backpropagation
Speakers: Blake Richards, Irina Rish, Gaël Varoquaux, Yoshua Bengio
Speakers: Blake Richards, Irina Rish, Gaël Varoquaux, Yoshua Bengio
November 8, 2019
November 8, 2019
Inhibitory microcircuits for top-down plasticity of sensory representations
Inhibitory microcircuits for top-down plasticity of sensory representations
Speaker: Katharina Wilmes
Speaker: Katharina Wilmes
November 1, 2019
November 1, 2019
Synergy between AI and Neuroscience
Synergy between AI and Neuroscience
Speaker: Irina Rish
Speaker: Irina Rish
October 25, 2019
October 25, 2019
Dynamics of information transformation within a cortical circuit
Dynamics of information transformation within a cortical circuit
Speaker: Arjun Bharioke
Speaker: Arjun Bharioke
October 4, 2019
October 4, 2019
Amplifying the Neural Power Spectrum
Amplifying the Neural Power Spectrum
Speaker: Andrew Doyle
Speaker: Andrew Doyle
September 20, 2019
September 20, 2019
Continuation of Biological and Artificial RL
Continuation of Biological and Artificial RL
Speaker: Raymond Chua
Speaker: Raymond Chua
August 16, 2019
August 16, 2019
Neural population control via deep image synthesis
Neural population control via deep image synthesis
Speaker: Leila Wehbe
Speaker: Leila Wehbe
Reach out to us at neuralai.montreal@gmail.com if you have any questions!© 2023 The Mila Neural-AI Reading Group. The placeholder images were generated using Stable Diffusion.