View the Project on GitHub pdp-princeton/PDP-schedule

Hi! This is the schedule for the PDP meeting at Princeton, a weekly seminar on neural/cognitive computational models.

Please email Qihong Lu qlu@princeton.edu if you’d like to subscribe to the mailing list.


Friday 10:30am - 11:59 am EST @ Zoom, and all meetings are recorded for folks from other time zones

Spring 2021

Regular talks

Date Speaker Title
1/22 Oded Bein Learning and updating structured knowledge
02/19 Sam Zorowitz The value of free choice in anxious individuals

Thematic discussion

Date Speaker Title
02/05, 02/12, 02/26 Qihong Lu, Qiong Zhang, Payam Piray, Sreejan, Carlos, Simon, Flora, Rachel, Mayank, Erin Metalearning
03/19, 03/26 Ruairidh Battleday, Taylor Webb, Simon, Bill, Bas Analogy and compositionality
04/02, 04/09, 04/16 Mayank, Sashank, Rachit Dubey, Alex Libby, Fred, Tyler, Caroline, Eleni, Camden Explore v. Exploit, ITC and Control
04/23, 04/30, 05/07 Laura, Flora, Sebastian, Mayank, Matt Panichello, Tyler, Abby Constraints on WM and Control

Fall 2020

Regular talks

Date Speaker Title
09/04 David L. Barack Information Seeking and Learning in Complex Environments
10/02 Sashank Pisupati Maladaptive avoidance: A latent cause perspective
10/30 Robert Yang Machine evolution of olfactory systems
11/06 Sreejan Kumar Meta-Learning of Compositional Task Distributions in Humans and Machines
11/27 Mingyu Song Learning multi-dimensional rules via reinforcement learning and hypothesis testing
12/04 Sebastian Musslick Autonomous empirical research

Thematic discussion

Date Speaker Title
10/09 and 10/16 Sashank Pisupati, Erin Grant, Neil Garrett, Sean Allen, Ruairidh Battleday, Isabel Berwian, Fred Callaway, Bas van Opheusden, Caroline Jahn, Sina Tafazoli Latent cause inference, instrumental conditioning, task learning and planning
10/23 Qihong Lu, Andre Beukers, Qiong Zhang Encoding strategies / segmentation for episodic memory
11/20 Andre Beukers, Taylor Webb, Paul Krueger Division of labor / Interactions between working memory and episodic memory
12/11 and 12/18 Zack, Simon N. Segert, Steven M. Frankland, Ishita Dasgupta, Michael Chang, Mark Ho, Isabel Berwian Learning of “basis sets” / “symmetry functions” useful for generalization / extrapolation

Spring 2020

Date Speaker Title
01/17 Ari Kahn Inferring Structure from Sequences
01/31 Nina Rouhani Reward prediction errors enhance memory and segment past experiences
02/07 Payam Piray A common model explaining flexible decision making, grid fields and cognitive control
02/21 Yeon Soon Shin Quantifying the latent-cause inference process
02/28 Ishita Dasgupta Learning causal reasoning
03/06 Rachit Dubey Aha! moments as a form of meta-cognitive prediction errors
03/13 Mark Ho Meta-Reasoning about Partial Plans
03/27 Mayank Agrawal The Temporal Structure of Cognitive Control Costs: A Normative Account of Mental Fatigue and Boredom
04/17 Maëlle Gueguen Cortical dynamics of outcome processing during reinforcement learning: Insights from invasive electrophysiology in humans
04/24 Thiago Tarraf Varella Phase transitions in vocal development are driven by energy-information balance
05/15 Qiong Zhang A resource-rational analysis of human memory search
05/22 Bob Wilson Information and randomization in exploration and exploitation
05/29 Daniel B. Bennett A model of mood as integrated advantage

Fall 2019

Date Speaker Title
09/27 Qihong Lu Learning to use episodic memory
10/25 Karan Grewal Chaining and the Historical Extensions of Adjective Use
11/01 Matt Panichello Neural mechanisms of selection in visual working memory
11/08 James Antony March madness: an fMRI study of continuously updated surprise and suspense during basketball-watching
11/15 Marius Cătălin Iordan Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora
12/06 Marcelo G Mattar Memory mechanisms predict sampling biases in sequential decision tasks
12/13 Payam Piray A common model explaining flexible decision making, grid fields and cognitive control

Spring 2019

Date Speaker Title
01/29 Angela Radulescu and Daniel Bennett Individual differences in attention allocation during value construction
02/15 Yunshu Fan Neural mechanisms underlying reward-biased visual decisions
02/22 Sebastian Musslick On the Rational Bounds of Cognitive Control
03/01 Ishita Dasgupta Amortized inference in humans and machines: An algorithmic account of ecological rationality
03/15 Daniel Takahashi Functional ultrasound imaging of a vocal communication circuit
03/29 Sebastian Musslick, Anastasia Bizyaeva Stability-Flexibility Dilemma in Cognitive Control: A Dynamical System Perspective
04/05 Richard Zemel Controlling the Black Box: Learning Manipulable and Fair Representations
04/12 Laura Bustamante Motivation for cognitive and physical effort in depression
04/19 Randy O’Reilly Predictive Learning of Goals and Motor Plans
04/26 Andre Beukers Modeling Working and Episodic Memory: Prospective Memory and the N-back Task
05/03 Taylor Webb, Steven Frankland Extracting and Utilizing Abstract, Structured Representations for Analogy
05/10 Camden MacDowell Dynamic motifs capture brain-wide patterns of neural activity
05/17 T.S. Jayram Controlling Attention To Solve Working Memory Tasks Using a Memory-Augmented Neural Network
06/07 Sara Aronowitz Learning through Simulation
06/14 Jennifer Bussell Orbitofrontal representations of information in mice desiring to know
07/26 Kiyohito Iigaya The value of what’s to come: Neural mechanisms coupling prediction error and reward anticipation

Fall 2018

Date Speaker Title
09/14 Robert Hawkins Coordinating on shared meaning in communication
09/21 Alex Libby Sustained and Dynamic Representations Support Contextual Sensory Processing
09/28 N.A. PDP symposium: https://pdpsymposium.princeton.edu/
10/12 Matt Nassar Learning outside of the vacuum: exploring the interactions between learning and memory
10/19 Rachit Dubey Understanding curiosity and exploration in human and reinforcement learning agents
10/19 Fred Callaway Attention allocation in decision making as optimal sequential sampling
11/09 Andre Beuker On the interactions between knowledge & learning
11/16 Thomas Langlois Visual Memory Biases Reflect Encoding Precision not Categorical Perception
11/16 William D. Thompson Semantic Alignment Across Languages
11/30 Jon Cohen Expected Value of Control: Theoretical Constructs and Methods
12/07 Bas Rokers The Neural Basis of a Common Deficit in 3D Motion Perception