Agenda

8:50                    Welcome

9:00                     Theory of Neural Perturbome
Claudia Clopath, Imperial College London

10:00                    Pushing the Limits of Intracortical Neural Recording
Chong Xie, Rice University

10:30                Break 

10:45                Can Deep Neural Networks Model the Human Faculty of Abstraction?
Cameron Buckner, University of Houston

 11:15                Neurally Plausible Mechanisms for Learning Selective and Invariant Representations
Fabio Anselmi, Baylor College of Medicine

 11:45                Trainee Short Talks

Balanced Networks Under Spike-Time Dependent Plasticity
Alan Akil, University of Houston, Graduate Student

Normative Adaptive Decision Rules in Static Environments    
Nicholas Barendregt, Univ. of Colorado Boulder, Graduate Student

Inference as Control
Lokesh Boominathan, RU, Graduate Student

Spike-Constrained Neural Control
Itzel Olivos-Castillo,  RU, Graduate Student

Behavioral Time Scale Plasticity of Place Fields: Mathematical Analysis
Ian Cone, RU, Graduate Student

Normative Decision Asymmetries with Symmetric Priors but Asymmetric Evidence
Tahra Eissa, Univ. of Colorado Boulder, Research Associate

Learning Accurate Path Integration in a Ring Attractor Model for Heading in Drosophila
Pantelis Vafidis, Cal Tech,  Student

12:30                       Lunch Break

1:45                  Quantifying Uncertainty in Spikes Estimated from Calcium Imaging Data
Daniela Witten, University of Washington, Seattle
 

2:45              Large Scale Brain Mapping
Bobby Kasthuri, University of Chicago

3:45                  Networking Break

4:10                  On the Rational Boundedness of Cognitive Control
Jonathan Cohen, Princeton University

5:00                  Closing Remarks followed by virtual happy hour