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Cognitive Maps

In 2019, we focused on understanding cognitive maps. Cognitive maps are most commonly associated with the representation and navigation of physical space, but the concept of a map is more generally concerned with how experience is organized to form knowledge. Tantalizingly, it seems that the neural encoding of physical space may also underlie the organization of conceptual and social spaces. We explored tools to study what principles govern the learning, organization, and application of such maps, and to probe their neural underpinnings.


Sasha Brietzke, Clara Colombatto, Jordan Crivelli-Decker, Emanuela De Falco, Meng Du, Catarina Ferreira, Paxton Fitzpatrick, Christoffer Gahnstrom, Xiaochun Han, Peter Hitchcock, Patrick Lachance, Julie Lee, Lauren Mueller, Kate Nussenbaum, Monika Riegel, Matthew Schafer, Katherine Sherrill, Jae-Young Son, Mingyu Song, Adam Steel, Dev Subramanian, Stefan Uddenberg, Jeroen van Baar, Fang Wang, Yin Wang, Emil Wärnberg, Lennart Wittkuhn, Xinming Xu, Ziyi Zhu, Futing Zou


Luke Chang

Dartmouth College

Christian Doeller

Max Planck Institute for Human Cognitive and Brain Sciences

Yaroslav Halchenko

Dartmouth College

Catherine Hartley

New York University

James Haxby

Dartmouth College

Jeremy Manning

Dartmouth College

Sam McKenzie

New York University

Meghan Meyer

Dartmouth College

Ida Momennejad

Columbia University

Carolyn Parkinson

University of California Los Angeles

Rajesh Ranganath

New York University

A. David Redish

University of Minnesota

Caroline Robertson

Dartmouth College

Daniela Schiller

Mount Sinai School of Medicine

Kim Stachenfeld


Jeffrey Taube

Dartmouth College

Mark Thornton

Princeton University

Matthijs van der Meer

Dartmouth College

Thalia Wheatley

Dartmouth College

Robert Wilson

University of Arizona


Scientific Computing

by: Luke Chang

Open Science Tools

by: Yarik Halchenko

Git & Github

by: Eshin Jolly

Jupyter Notebooks

by: Jin Cheong & Vassiki Chauhan


by: Lucy Owen

Coding like a rockstar

by: Jeremy Manning

Are Head Direction Cell Responses Commutative in 3D?

by: Jeffrey Taube

Stucturing experience in cognitive spaces

by: Christian Doeller

Modeling Structure of Information Encoded in Fine-Scale Cortical Topographies

by: James Haxby

Cognitive Maps in Mice and Machines

by: Kim Stachenfeld

Reinforcement Learning, Feature Spaces, Graphs

by: Matt van der Meer

Can we improve real-world learning using scalable AI teachers?

by: Jeremy Manning

Using immersive VR to probe where memory meets perception in brain

by: Caroline Robertson

Plasticity in inhibitory circuits organizes hippocampal activity to define a memory space

by: Sam McKenzie

Estimating synaptic coupling dynamics from spike-spike correlations

by: Sam McKenzie

How do cognitive maps organize our behavior?

by: Cate Hartley

Predictive cognitive map representations

by: Ida Momennejad

Introduction to Q-Learning & SR-DYNA

by: Ida Momennejad

Modeling Decision-Making

by: Robert Wilson

Interpersonal maps

by: Meghan Meyer

Mental maps of the social world

by: Mark Thornton

Dimensionality Reduction

by: Mark Thornton

Generative models and variational inference

by: Rajesh Ranganath

Mapping social behavior

by: Thalia Wheatley

Mapping Social Spaces

by: Luke Chang

Encoding and navigating the social world

by: Carolyn Parkinson

Social network tutorial

by: Carolyn Parkinson