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.

Participants

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

Faculty

                
Luke ChangDartmouth College

Christian DoellerMax Planck Institute for Human Cognitive and Brain Sciences

Yaroslav HalchenkoDartmouth College

Catherine HartleyNew York University

James HaxbyDartmouth College

Jeremy ManningDartmouth College

Sam McKenzieNew York University

Meghan MeyerDartmouth College

Ida MomennejadColumbia University

Carolyn ParkinsonUniversity of California Los Angeles

Rajesh RanganathNew York University

A. David RedishUniversity of Minnesota

Caroline RobertsonDartmouth College

Daniela SchillerMount Sinai School of Medicine

Kim StachenfeldDeepMind

Jeffrey TaubeDartmouth College

Mark ThorntonPrinceton University

Matthijs van der MeerDartmouth College

Thalia WheatleyDartmouth College

Robert WilsonUniversity of Arizona

Tutorials

                
Scientific Computingby: Luke Chang

Open Science Toolsby: Yarik Halchenko

Git & Githubby: Eshin Jolly

Jupyter Notebooksby: Jin Cheong & Vassiki Chauhan

Containersby: Lucy Owen

Coding like a rockstarby: Jeremy Manning

Are Head Direction Cell Responses Commutative in 3D?by: Jeffrey Taube

Stucturing experience in cognitive spacesby: Christian Doeller

Modeling Structure of Information Encoded in Fine-Scale Cortical Topographiesby: James Haxby

Cognitive Maps in Mice and Machinesby: Kim Stachenfeld

by: Kim Stachenfeld

Reinforcement Learning, Feature Spaces, Graphsby: 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 brainby: Caroline Robertson

Plasticity in inhibitory circuits organizes hippocampal activity to define a memory spaceby: Sam McKenzie

Estimating synaptic coupling dynamics from spike-spike correlationsby: Sam McKenzie

How do cognitive maps organize our behavior?by: Cate Hartley

Predictive cognitive map representationsby: Ida Momennejad

by: Robert Wilson

Introduction to Q-Learning & SR-DYNAby: Ida Momennejad

Modeling Decision-Makingby: Robert Wilson

Interpersonal mapsby: Meghan Meyer

Mental maps of the social worldby: Mark Thornton

Dimensionality Reductionby: Mark Thornton

Generative models and variational inferenceby: Rajesh Ranganath

Mapping social behaviorby: Thalia Wheatley

Mapping Social Spacesby: Luke Chang

Encoding and navigating the social worldby: Carolyn Parkinson

Social network tutorialby: Carolyn Parkinson