Behavioral flexibility and its neural correlates

Organizers

Caroline Haimerl | Champalimaud Centre for the Unknown, Portugal
Laura Bella Naumann | Institute of Science and Technology,  Austria
Cristina Savin | New York University, USA

Abstract

Humans and other animals can adapt their behavior to complex and ever-changing environments. They can switch tasks that require different sensory information and quickly learn new tasks without affecting the existing behavioral repertoire. The neural mechanisms that enable this behavioral flexibility are still unclear. Numerous neurons and their connections work in concert to process sensory information and produce appropriate behavioral responses.

Jointly reorganizing them for a new task or context seems daunting and inefficient. Thus, other fast and transient mechanisms must exist that temporarily modulate the way information is processed to support the task at hand. The proposed workshop brings together experimental and theoretical researchers studying flexible and adaptive behavior across different sensory modalities and species.

The goal is to review the most up to date empirical evidence and theoretical ideas of underlying neural mechanisms, identify common themes across approaches and species and thus determine promising future directions for the study of flexible behavior at the neural level.

Schedule (CEST)

Tuesday, Sept 26

14:00

Introduction to the theme: Flexible behaviour and its neural correlates
Cristina Savin, Caroline Haimerl, Laura Bella Naumann

14:10

Nachum Ulanovsky | Weizmann Institute of Science, Israel
Neural codes for natural behaviors and behavioral switches in flying bats

14:50

Charline Tessereau | Max Planck Institute for Biological Cybernetics, Germany 
Reinforcement learning approaches to hippocampus-dependent flexible spatial navigation

15:25

NaYoung So | Columbia University, USA
Decision formation in parietal cortex transcends a fixed frame of reference

16:00

30 min coffee break

16:30

Marlene Cohen | University of Chicago, USA
Feature interference: A neuronal population hypothesis about limits on cognition

17:10

Roxana Zeraati | University of Tübingen, Germany
Flexible control of neural and behavioral dynamics during selective attention

17:45

Byron Yu | Carnegie Mellon University, USA
Learning in the presence of time-varying internal states

18:25

Wrap-up day 1

18:30

End of first day

Wednesday, Sept 27

08:30

Interim summary and introduction to day 2
Cristina Savin, Caroline Haimerl, Laura Bella Naumann

08:40

Mehrdad Jazayeri | Massachusetts Institute of Technology, USA
Flexible vector production via mental navigation in the entorhinal cortex

09:30

Laureline Logiaco | Massachusetts Institute of Technology, USA
Neural network mechanisms of (some forms of) motor control flexibility

10:00

30 min coffee break

10:30

João Barbosa | Ecole Normale Supérieure, France
Early selection of task-relevant features through population gating

11:05

Kishore Kuchibhotla | John Hopkins University, USA

Revealing latent knowledge in cortical networks during flexible, goal-directed learning

11:45

Panel discussion

12:30

End