In order to discover principles of rapid decision making in complex environments, the FLAP MURI team seeks to develop novel experimental methods, computational models, and data analysis techniques.
Projects
Optimal coding strategies shaped by projection convergence and divergence in feedforward networks
Zach Mobille, Usama bin Sikandar, Simon Sponberg, Hannah Choi
RBM-based cross subject transfer learning
Suya Wu, Marko Angjelichinoski, Haoming Yang, Vahid Torokh, Simon Sponberg
Attentional learning and population structure in AL recordings
Haoming Yang, Pramod KC, Simon Sponberg, Jeff Riffell, Vahid Torokh
Development of new neurogenetic tools in moths
Anandrao Ashok Patil and Jeff Riffell
Identifying age related differences in flight performance
Elina Barredo, Haoming Yang, Suya Wu, Simon Sponberg, Vahid Tarokh, Jamie Theobald