Brain, Computation and Learning Workshop

Computational approaches to understanding brain function form an important and growing area of interdisciplinary research. These approaches and associated techniques have acted as a melting pot for researchers from disparate disciplines to come together and address one of the grandest challenges of the 21st century. The grandness of the challenge and the requirement on diverse forms of expertise has deemed that such endeavors require synergistic interactions among neurobiologists and computer scientists. Over the past decade or two, neurobiologists have made significant conceptual advances in our understanding of the brain through technical breakthroughs that have yielded unprecedented opportunities to gather large-scale structural and functional data. On the other hand, over the same period, computer scientists have developed exceptional tools to address questions in machine learning and data analytics, tools that are not only helpful in emulating brain function, but also are radically transforming many applications in information and communication technologies. This workshop on Brain Computation and Learning is aimed at creating this useful dialogue between neurobiologists and computer scientists and educating research students of each area with relevant topics of the other.

A prominent goal of this workshop is to promote synergistic interactions among neurobiologists and computer scientists. The workshop would allow young researchers to understand the diverse themes of research and appreciate the close relationships between these apparently distinct themes.

This workshop is funded by a generous endowment from the Pratiksha Trust, which has been significantly promoting fundamental and translational neuroscience research within the country through the establishment of research centres and chair professorships at the Indian Institutes of Science (Bangalore) and Technology (Chennai).

CONFIRMED SPEAKERS

Shantanu Chakrabartty Washington University St. Louis Spiking, Bursting, Noise-shaping and Population Dynamics in a Network of Growth Transform Neurons	Jonathan Fritz ISR, University of Maryland Transformation from Sound to Meaning at Five Levels in the Ferret Auditory System
Lori Holt Carnegie Mellon University Listening in on Auditory Learning	Vasant Honavar Pennsylvania State University An Excursion into Network Neuroscience
Mark Liberman University of Pennsylvania Language and the Brain: Learning about Each from the Other	Mayank R. Mehta University of California, Los Angeles Neural Mechanisms of Abstract Space-Time Perception
Samuel Norman-Haignere École Normal Supérieure Exploring the Functional Organization and Computational Properties of Human Auditory Cortex	Christos H. Papadimitriou University of California, Berkeley A Computer Scientist Thinks about the Brain
Maneesh Sahani University College London Learning and Using Priors	Andre Van Schaik Western Sydney University DeepSouth: A Neuromorphic Ecosystem
Shihab Shamma University of Maryland Cortical Mechanisms for Auditory Selective Attention and Decision Making	Patrick van der Smagt AI Research at Volkswagen Group Learning Movement without Neural Coding
Shalabh Bhatnagar Indian Institute of Science An Incremental Fast Policy Search using a Single Sample Path	Srinivasa Chakravarthy V Indian Institute of Technology Madras Modeling Neuro-Glio-Vasular interactions: Do Cerebral Vessels Compute?
Sumantra Chattarji National Centre for Biological Sciences Parallel Distributed Processing in the Stressed Brain	Sriram Ganapathy Indian Institute of Science Unsupervised Auditory Representation Learning in Machines and Humans
Joby Joseph University of Hyderabad GABA: Oscillator, Decorrelator, Regulator	Ravi Kannan Microsoft Research Lab - India Discovering Hidden Structure in Data: Sample Complexity in Unsupervised Learning
Aditya Murthy Indian Institute of Science The Planning and Control of Sequential Movements	Supratim Ray Indian Institute of Science Gamma Rhythm as a Tool to Investigate Neural Processing
Rajesh Sundaresan Indian Institute of Science Learning to Detect an Oddball Target	Prasanta Kumar Ghosh Indian Institute of Science Seeing Speech

Second Workshop on Brain, Computation, and Learning

How to Reach the Venue

CONFIRMED SPEAKERS

Organizing Committee