Rhythms in the Brain - Workshop on Deep Oscillatory Neural Network Models and Translational Applications
8th December at IIT Kanpur
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V Srinivasa Chakravarthy, Nurani Rajagopal Rohan, Sayan Ghosh, Anirban Bandhopadhyay
Department of Biotechnology,
Indian Institute of Technology Madras.
&
Pragathi Priyadharsini Balasubramani, Amal Jude Ashwin, Sanket Shiddaram Houde, Gokul Krishna Raja, Hari Prakash Tiwari
Department of Cognitive Science,
Indian Institute of Technology Kanpur.
ACCS 2023
The Association for Cognitive Science is delighted to announce its 10th Annual Conference of Cognitive Science, ACCS 2023. The conference will be held at the Indian Institute of Technology Kanpur (IITK) from 9th to 11th December 2023.
We plan to have an exciting scientific program with a number of talks, symposia and poster sessions. Please do check the page regularly as we will keep posting regular updates. We hope to see you at IIT Kanpur in December.
This pre-conference workshop presents theoretical and practical aspects of understanding brain rhythms and their modulation, using deep oscillatory neural networks and Electroencephalography. It is organized so that theory and practical sessions are interspersed.
Date: 8th December, 2023
We cordially invite you to participate in the event. Please click link below for registering!
FORENOON
Introduction: Srinivasa Chakravarthy & Pragathi Priyadharsini Balasubramani
Theory session 1: Nurani Rajagopal Rohan
This session motivates the need for development of general trainable oscillator networks. In response to that motivation, it presents results from networks of Hopf oscillators that can:
Store and generate arbitrary vector signals
Learn mapping between arbitrary vector signals.
The basic results are presented and the learning algorithms are described.
Practical session 1: Nurani Rajagopal Rohan
Practical session 1: Nurani Rajagopal Rohan
This session demonstrates working of the following models.
Single Hopf oscillator.
A pair of coupled Hopf oscillators with complex coupling.
A pair of coupled Hopf oscillators with power coupling.
A network of Hopf oscillators for signal generation.
A network of Hopf oscillators for signal transformation.
Theory Session 2: Sayan Ghosh
Modeling high-dimensional EEG using the neural oscillator network.
Practical Session 2: Sayan Ghosh
A demonstration of how to model high-dimensional EEG using the neural oscillator network.
Theory Session 3: Anirban
Modeling fMRI data using the neural oscillator network.
Practical Session 3: Anirban
A demonstration of how to model fMRI data using the neural oscillator network.
AFTERNOON
Theory Session 4: Amal Jude Ashwin
Understanding Rhythms in the Brain using Electroencephalography
Practical Session 4: Amal Jude Ashwin
A demonstration to understand temporal and spectral aspects of brain rhythms, their connectivity, using EEG.
Theory Session 5: Sanket Shiddaram Houde
Understanding Rhythms in the Body and their coupling to the Brain using Electroencephalogram, Electrocardiogram and Electrogastrogram
Practical Session 5: Sanket Shiddaram Houde
A demonstration to understand temporal and spectral aspects of body rhythms and coupling, using EEG, ECG, EGG.
Theory Session 6: Gokul Krishna Raja
Understanding visual/auditory Entrainment in the Brain
Practical Session 6: Gokul Krishna Raja
A demonstration to understand temporal and spectral aspects of entrainment using EEG.
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