|7:30 - 9:00am
|| Registration & Breakfast
|Chair: Terrence Sejnowski
||Saket Navlaka - Salk Institute
"A neural algorithm for similarity search"
||Bruce McNaughton - UCI/Lethbridge
"Zipping and unzipping the hippocampal index code"
|Tad Blair - UC Los Angeles
"Conjugate coding of position and velocity by within- and between-cell spike intervals"
||Keynote: David Anderson - Caltech
"Neural control of social behaviors and internal states"
||Lunch and Posters/Demos
|Chair: Gert Cauwenberghs
||John Iversen - Institute for Neural Computation
"Rhythms in Music, Language and Brain: Neural dynamics of beat perception"
|| Terry Sanger - University of Southern California
"Why brains don't use floating-point arithmetic: Scalable precision, instantaneous computation, and efficient storage in rate-coded spiking networks"
||Zhuowen Tu - UC San Diego
"Deep supervision for deep learning: training, regularization,
and multi-scale learning"
||Xin Wang - Intel/Nervana
"Building a platform for machine intelligence"
||Blythe Towal - Qualcomm
"Deep learning at the edge: How we get there and how insight from neuroscience can help"
||Keynote: Hava Siegelmann - DARPA:
"Computational principles in the brain"
||Closing Remarks: Terrence Sejnowski