Jan 2 Thursday - Jan 10 Friday, 2020
The Annual Winter course on Machine Intelligence and Brain Research (MIBR) at IIT Madras will be held from Jan 2 - Jan 10th 2020.
We are in the planning stages of the course and the course content and registration links can be found here .
Please note that the above link is for general registration only. If you are an IIT Madras student, kindly use the following link .
.IIT M students who wish to take credit please follow the following links. If you plan to take credits for this course, please register your interests here
Artificial neural network based machine learning architectures (software and hardware) are of great current interest in academia and industry. At the same time, owing to international brain initiatives, there are also rapid advances happening in Neuroscience. This interdisciplinary course is based on the premise that a two-way interchange between neuroscience and machine learning/AI will be mutually productive. The course focuses on four main areas of robust interactions between engineering and neuroscience (Vision, Speech/Audition, Natural Language, and Reinforcement Learning) and also includes related topics (classical Machine Learning, Hardware, Statistical Physics).
The CCBR is an interdisciplinary center at IIT Madras focused on a two-way interchange between neuroscience and engineering.
The CCBR-IITM is comprised of faculty across several departments on campus and three visiting chair professors (Partha P Mitra, CSHL; Anand Raghunathan, Purdue; and Mriganka Sur, MIT).
The workshop component of the course will consists of pedagogical lectures and tutorials by invited speakers, foster national and international collaborations in the subject area. An outreach component of the workshop will include participants from the computer industry and medical research.
For any other queries: please Contact Ms Swetha Bhupathi @ ccbriitmadras@gmail.com
CCBR – Winter course on Machine Intelligence and Brain Research – 2020
Tentative Schedule
Day 1 : 2nd Jan 2020 |
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08:00 am |
Registration |
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09:00 am |
Prof. Bhaskar Ramamurthi, Director, IIT Madras |
Opening Remarks |
09:15 am |
Mr.Kris Gopalakrishnan, Chairman, Axilor Ventures, Co-Founder, Infosys |
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09:30 am |
Prof. Partha Mitra (CSHL,CCBR), Crick-Clay Professor of Biomathematics at Cold Spring Harbor Laboratory, H N Mahabala Chair at IIT Madras |
H N Mahabala |
11:00 am |
Coffee break |
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11:30 am |
Prof. Mriganka Sur (MIT,CCBR), Newton Professor of Neuroscience , NR Narayana Murthy Chair at IIT Madras |
Brain wiring and brain disorders |
1:00 pm |
Lunch |
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2:00 pm |
Prof. Trichur Vidyasagar (remote), |
Role of neural oscillations in cortical functions |
3:30 pm |
Coffee break |
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4:00 pm |
Prof. Michael Ibbotson, Director, National Vision Research Institute, Melbourne Australia |
Early visual pathway |
5:30 pm |
Prof. Jonathan Victor (remote), Cornell University, USA |
Cortical pathways of vision |
Day 2 : 3rd Jan 2020 |
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10:30 am |
Coffee Break |
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11:00 am |
Prof. Trenton Jerde, |
Perspectives on machine intelligence, and the review process at Nature journals |
12:30 pm |
Lunch |
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02:00 pm |
Prof. Hema Murthy, Department of Computer Science and Engineering, IIT Madras |
Machine Learning in Audition |
03:30 pm |
Coffee Break |
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04:00 pm |
Prof. Hema Murthy Department of Computer Science and Engineering, IIT Madras |
EEG Signals in Audition |
05:00 pm |
Prof. Mikhail Belkin, Ohio State University, USA |
A modern perspective on the theory and practice of machine learning |
Day 3: 4th Jan 2020 |
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10:00 am |
Fundamentals of Neuroscience: A tutorial on Neuroanatomy and Electrophysiology Dr Jaikishan Jayakumar, Center for Computational Brain Research, IIT Madras and Dr Timothy Marzullo, Backyard Brains, USA |
01:00 pm |
Lunch |
02:00pm |
Fundamentals of Machine Learning |
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Day 4: 6th Jan 2020 (Hardware day) |
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9:00 am |
Prof. Sadasivan Shankar, Harvard University, USA |
Computing, Artificial Intelligence and the Brain |
11:00 am |
Coffee Break |
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11:30 am |
Prof. Anand Raghunathan, Professor of Electrical & Computer Engineering and Chair of VLSI area at Purdue University, USA |
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12:30 pm |
Lunch |
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1:30 PM |
Dr. Swagath Venkataramani, IBM TJ Watson Research Center |
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2:30 pm |
Prof. Kaushik Roy, Purdue University |
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3:30 pm |
Coffee Break |
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4:00 pm |
Prof. Bhaswar Chakrabarti, Department of Electrical Engineering, IIT Madras |
Day 5: 7th Jan 2020 |
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09:30 am |
Prof. Yi Zhou,(Remote) |
Neurobiology of Spatial hearing |
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11:00 am |
Coffee Break |
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11:30 am |
Prof. Srivatsun Sadagopan, University of Pittsburgh, USA |
Modelling and Characterizing the Ascending Auditory Pathway |
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01:00 pm |
Lunch |
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02:00 pm |
Prof. Xiaoqin Wang, John Hopkins University, USA |
Neural Coding of Complex Sounds in Central Auditory Systems |
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03:30 pm |
Coffee break |
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03:45 pm |
Dr. Samik Bannerjee, Cold Spring Harbor Laboratories, USA |
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05:00 – 7:00 pm |
Neural data analysis tutorial - |
Day 6: 8th Jan 2020 |
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09:30 am |
Prof. Sukhendu Das |
Classical Machine Vision |
11:00am |
Coffee Break |
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11:30 am |
Prof. Kaushik Mitra, |
Modern Machine Vision |
01:00pm |
Lunch |
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02:00pm |
Prof. Sutanu Chakraborti, |
Natural Language Processing |
3:30 PM |
Coffee break |
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4:00 pm |
Neural data analysis tutorial - |
Day 7: 9th Jan 2020 |
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09:00 am |
Prof. Nikolaus Kriegeskorte, Columbia University, USA |
Deep network models of Vision |
11:00 am |
Coffee Break |
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11:45 am |
Prof. Harish Guru Prasad, Department of Computer Science and Engineering, IIT Madras |
Ensemble methods in machine learning |
01:00 pm |
Lunch |
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02:00 pm |
Dr. Prashanth L A |
Introduction to reinforcement learning |
3:30 pm |
Coffee break |
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04:00 pm |
Dr. Prashanth L A |
Introduction to reinforcement learning |
Day 8: 10th Jan 2020 |
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9:00 am |
Dr. Prashanth L A |
Introduction to reinforcement learning |
11:00am |
Coffee Break |
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11:30 am |
Prof. Mayank Mehta, University of California, Los Angeles, USA |
Neurobiology of Space and Time |
01:00 pm |
Lunch and workshop close |
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02:00pm |
Neural data analysis tutorial - |