02/
Adrienne Fairhall
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None listed
05/
Marcin Miłkowski
06/
Paul Cisek
07/
Recap and Panel Discussion
09/
Blake Richards
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Optimizing agent behavior over long time scales by transporting value
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On the Strong Universal Consistency of Nearest Neighbor Regression
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The primacy of behavioral research for understanding the brain
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Learning Structures: Predictive Representations, Replay, and Generalization
11/
Gary Marcus
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Optogenetic Editing Reveals the Hierarchical Organization of Learned Action Sequences
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Hand Knob Area of Premotor Cortex Represents the Whole Body in a Compositional Way
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Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems
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Entity Abstraction in Visual Model-Based Reinforcement Learning
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Improving Generative Imagination in Object-Centric World Models
12/
Jessica Hamrick
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State, Transition and Learning Interactions in the Two-Step Task
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Predictive representations can link modelbased reinforcement learning to model-free mechanisms
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Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?
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The successor representation in human reinforcement learning
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Human-level concept learning through probabilistic program induction
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ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
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On the role of planning in model-based deep reinforcement learning
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A normative account of confirmatory biases during reinforcement learning
15/
Recap and Panel Discussion
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Tree crickets optimize the acoustics of baffles to exaggerate their mate-attraction signal
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The Model-less Neuromimetic Chip and its Normalization of Neuroscience and Artificial Intelligence
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Probably Approximately Correct: Nature's Algorithms for Learning and Prospering in a Complex World
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The Contribution of Area MT to Visual Motion Perception Depends on Training
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Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems
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ON THE RELATIONSHIP OF ACTIVE INFERENCE AND CONTROL AS INFERENCE
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Intrinsic Social Motivation via Causal Influence in Multi-Agent RL
16/
Jane Wang
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Matt Botvinick: Neuroscience, Psychology, and AI at DeepMind
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Probably Approximately Correct: Nature's Algorithms for Learning and Prospering in a Complex World
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Dopaminergic neurons write and update memories with cell-type-specific rules
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CAUSALWORLD: A ROBOTIC MANIPULATION BENCHMARK FOR CAUSAL STRUCTURE AND TRANSFER LEARNING
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Serotonin neurons modulate learning rate through uncertainty
18/
Kimberly Stachenfeld
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What Is a Cognitive Map? Organizing Knowledge for Flexible Behavior
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Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning
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Relational inductive biases, deep learning, and graph networks
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Revisiting the global workspace orchestrating the hierarchical organization of the human brain
-
The successor representation in human reinforcement learning
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Predictive representations can link modelbased reinforcement learning to model-free mechanisms
-
Sharp wave ripples during learning stabilize hippocampal spatial map
-
Next steps toward human-level performance in neural language models
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Aligning Superhuman AI with Human Behavior: Chess as a Model System
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ROBUST CIRCUIT RHYTHMS IN SMALL CIRCUITS ARISE FROM VARIABLE CIRCUIT COMPONENTS AND MECHANISMS
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Dr Eve Marder - Differential Resilience to Perturbations of Circuits with Similar Performance
19/
Caswell Barry
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Organizing conceptual knowledge in humans with a gridlike code
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Learning Structures: Predictive Representations, Replay, and Generalization
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During hippocampal inactivation, grid cells maintain synchrony, even when the grid pattern is lost
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Functional properties of stellate cells in medial entorhinal cortex layer II
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Impaired Spatial Representation in CA1 after Lesion of Direct Input from Entorhinal Cortex
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Functional connectivity of the entorhinal–hippocampal space circuit
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Patients with hippocampal amnesia cannot imagine new experiences
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Hippocampal Place Cells Encode Local Surface-Texture Boundaries
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Precise spatial representations in the hippocampus of a food‑caching bird
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Hippocampal Place Cells Encode Local Surface-Texture Boundaries
20/
Hugo Spiers
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Cities have a negative impact on navigation ability: evidence from 38 countries
-
Hippocampal and prefrontal processing of network topology to simulate the future
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Hippocampal place cells construct reward related sequences through unexplored space
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Navigation-related structural change in the hippocampi of taxi drivers
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Hippocampal CA1 activity correlated with the distance to the goal and navigation performance
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Geometric models reveal behavioural and neural signatures of transforming experiences into memories
21/
Katja Hoffmann
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The Malmo Platform for Artificial Intelligence Experimentation
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Challenges and Opportunities for Creating Agents in Commercial Games
-
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning
-
Optimizing Agent Behavior over Long Time Scales by Transporting Value
-
For Stroke Patients, New Video Game May Help Restore More Function, Faster
-
The Temporal Dynamics of Opportunity Costs: A Normative Account of Cognitive Fatigue and Boredom
22/
Randall O'Reilly
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Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations
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Voxelwise encoding models show that cerebellar language representations are highly conceptual
-
Understanding the Contribution of the Human Cerebellum across Task Domains
-
Functional boundaries in the human cerebellum revealed by a multi-domain task battery
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The cerebellar cognitive affective/Schmahmann syndrome scale
-
Next steps toward human-level performance in neural language models
-
Computational Cognitive Neuroscience Lectures by Randall O'Reilly
23/
Kirsty Graham
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Exorcising Grice's ghost: an empirical approach to studying intentional communication in animals
-
Scratching beneath the surface: intentionality in great ape signal production
-
A gestural repertoire of 1- to 2-year-old human children: in search of the ape gestures
-
Interactional Foundations of Language: The Interaction Engine Hypothesis
-
Bonobo and chimpanzee gestures overlap extensively in meaning
-
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning
-
Folk Physics for Apes: The Chimpanzee’s Theory of How the World Works
-
The manipulative complexity of Lower Paleolithic stone toolmaking
-
Language and thought are not the same thing: evidence from neuroimaging and neurological patients
24/
Christopher Honey
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The time course of perceptual choice: the leaky, competing accumulator model
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Constructing and Forgetting Temporal Context in the Human Cerebral Cortex
-
Timescales of spontaneous fMRI fluctuations relate to structural connectivity in the brain
-
Predictive Representations in Hippocampal and Prefrontal Hierarchies
-
Predicting the Future with Multi-scale Successor Representations
-
A nested cortical hierarchy of neural states underlies event segmentation in the human brain
-
Representational content determines the long-term dynamics of the CA1 spatial code
-
Neuronal timescales are functionally dynamic and shaped by cortical microarchitecture
-
TRACX2: a connectionist autoencoder using graded chunks to model infant visual statistical learning
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Using Smartphone, Social Media, and Sensor Data for Psychological Research
25/
Jacqueline Gottlieb
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Anxious individuals have difficulty learning the causal statistics of aversive environments
-
Random Network Distillation: a new take on Curiosity-Driven Learning
-
Dorsal anterior cingulate-brainstem ensemble as a reinforcement meta-learner
-
The expected value of control: An integrative theory of anterior cingulate cortex function
-
Rats strategically manage learning during perceptual decision making
-
Increased locus coeruleus tonic activity causes disengagement from a patch-foraging task
-
Neural correlates of dueling affective reactions to win–win choices
26/
Simon Kornblith
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A partition-based similarity for classification distributions
-
A Simple Framework for Contrastive Learning of Visual Representations
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Invariant Information Clustering for Unsupervised Image Classification and Segmentation
-
Rethinking supervised learning: insights from biological learning and from calling it by its name
-
Unsupervised neural network models of the ventral visual stream
-
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
-
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
-
Direct Fit to Nature: An Evolutionary Perspective on Biological and Artificial Neural Networks
-
Immediate susceptibility to visual illusions after sight onset
-
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
27/
Perry Zurn and Dani Bassett
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Hunters, busybodies and the knowledge network building associated with deprivation curiosity
-
Busybody, Hunter, Dancer: Three Historical Models of Curiosity
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Mnemonic convergence in social networks: The emergent properties of cognition at a collective level
-
The Murky Distinction Between Curiosity and Interest: State of the Art and Future Prospects
-
(1981) AUDRE LORDE, “THE USES OF ANGER: WOMEN RESPONDING TO RACISM”
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Mother Love (1959) Full Film - Monkey Maternal Deprivation Experiments
-
Braiding Sweetgrass: Indigenous Wisdom, Scientific Knowledge and the Teachings of Plants
-
The Scientific Method: An Evolution of Thinking from Darwin to Dewey
28/
Kate Crawford
-
An Anarchy of Methods: Current Trends in How Intelligence Is Abstracted in AI
-
Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements
-
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
-
PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment
29/
Amina Anandkumar
-
BONGARD-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning
-
Nanoconnectomic upper bound on the variability of synaptic plasticity
-
Explanatory models in neuroscience: Part 1 -- taking mechanistic abstraction seriously
-
Explanatory models in neuroscience: Part 2 -- constraint-based intelligibility
-
A Philosophical Understanding of Representation for Neuroscience
-
Codes, Functions, and Causes: A Critique of Brette's Conceptual Analysis of Coding
-
Comparing machines and humans on a visual categorization test
-
Not-So-CLEVR: learning same–different relations strains feedforward neural networks
30/
Janice Chen
-
Shared memories reveal shared structure in neural activity across individuals
-
What can narratives tell us about the neural bases of human memory?
-
A Neurocinematic Study of the Suspense Effects in Hitchcock's Psycho
-
Cam-CAN (Cambridge Centre for Ageing Neuroscience) dataset inventory
-
Idiosyncratic responding during movie-watching predicted by age differences in attentional control
-
Structured Event Memory: A Neuro-Symbolic Model of Event Cognition
-
Facts and Possibilities: A Model-Based Theory of Sentential Reasoning
-
Structuring Memory Through Inference-Based Event Segmentation
-
Same Story, Different Story: The Neural Representation of Interpretive Frameworks
-
Shared understanding of narratives is correlated with shared neural responses
-
Geometric models reveal behavioural and neural signatures of transforming experiences into memories
34/
Andrew Whiten
-
A New Telestimulation Technique for the Study of Social Behavior of the Squirrel Monkey
-
A Pacific Culture among Wild Baboons: Its Emergence and Transmission
-
The Cultural Brain Hypothesis: How culture drives brain expansion, sociality, and life history
-
A Primate's Memoir: A Neuroscientist's Unconventional Life Among the Baboons
35/
Rosa Cao
-
What Is a Cognitive Map? Organizing Knowledge for Flexible Behavior
-
Content is pragmatic: Comments on Nicholas Shea's Representation in cognitive science
-
How computational modeling can force theory building in psychological science
-
Human anterior prefrontal cortex encodes the 'what' and 'when' of future intentions
-
Encoding of Prospective Tasks in the Human Prefrontal Cortex under Varying Task Loads
-
Rational use of Episodic and Working Memory: A Normative Account of Prospective Memory
36/
Recap Panel and Discussion
37/
Neil Lewis Jr.
-
Nikole Hannah-Jones Issues Statement on Decision to Decline Tenure Offer
-
Yuppie Fishtanks: YIMBYism explained without "supply and demand"
-
Computational Justice: Simulating Structural Bias and Interventions
-
The Diversity Bonus: How Great Teams Pay Off in the Knowledge Economy
-
Difference: How the Power of Diversity Creates Better Groups, Firms, Schools, and Societies
47/