Skills you will gain:
About Program:
The “Artificial Intelligence in Neuroscience and Neurotechnology” workshop covers AI applications in neuroscience, including neural networks, predictive modeling for neurological disorders, and brain-computer interfaces (BCIs). It offers hands-on experience with AI tools for neural data analysis, disorder prediction, and BCI development, alongside ethical discussions in clinical AI use.
Aim: The workshop aims to explore AI applications in neuroscience, focusing on neural networks, predictive modeling for neurological disorders, and brain-computer interfaces (BCIs), with hands-on experience and ethical discussions.
Program Objectives:
What you will learn?
📅 Day 1 – Foundations of Neural Networks and AI in Neuroscience
- Introduction to Intelligent Machines
- Understanding the Significance of Relationship between AI and Neuroscience
- How biological neural networks helped in the development of artificial neural networks (ANNs)
- How ANNs are helping in the understanding of Neural behaviours like Cognition
📅 Day 2 – Prediction of Neurological Disorders using Non-electrophysiological Signals
- Introduction to Gait Analyses in Ataxia (a neurological disorder)
- Solving Ataxia Classification and Regression problem using AI/ML technique
- Demo on prediction of Ataxia using transformer based neural network
📅 Day 3 – Prediction of Neuropsychiatric Disorders using Electrophysiological Signals
- Recording of EEG
- Introduction to Quantitative EEG
- Data Preprocessing pipelines: artifact removal, filtering, ICA
- Extracting Quantitative EEG markers for Machine learning Applications in neurological disease prediction
Mentor Profile
Fee Plan
Get an e-Certificate of Participation!
Intended For :
The “Artificial Intelligence in Neuroscience and Neurotechnology” workshop is intended for researchers, healthcare professionals, engineers, and students in neuroscience, neurotechnology, computer science, AI, and related fields. Prior knowledge of basic AI and machine learning concepts is recommended, but not mandatory.
Career Supporting Skills
Program Outcomes
By the end of the “Artificial Intelligence in Neuroscience and Neurotechnology” workshop, participants will:
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Understand the fundamental applications of AI in neuroscience and neurotechnology.
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Gain hands-on experience with AI tools for analyzing neural data and building predictive models for neurological disorders.
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Learn how to develop and prototype brain-computer interfaces (BCIs) using real-time neural signals.
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Understand the integration of neuroimaging and clinical datasets for disorder prediction.
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Gain insights into ethical considerations in applying AI in clinical and neuroscience settings.