Foundational courses
Structured pathways make computational neuroscience, brain signals, neural dynamics, and related fundamentals easier to approach in sequence.
A Neurogati initiative
Neurovidya
Bridging the gap in neuroscience education through structured learning and practical experience.
A dedicated learning platform for students, researchers, clinicians, engineers, and professionals exploring neuroscience and neurotechnology.
About the platform
Complex brain science, made learnable.
Neurovidya is Neurogati's dedicated education and training ecosystem for neuroscience. It brings courses, workshops, and learning resources into one place so learners can progress from core ideas to applied skills.
The platform is designed to translate complex neural concepts without losing scientific rigour. Learners can build foundations, explore computational and experimental methods, and connect neuroscience with AI, engineering, medicine, psychology, and research.
How learning is organised
A connected learning ecosystem
Practical learning
Applied courses and workshops connect theory with scientific computing, signal analysis, modelling, and research methods that learners can use.
Learning community
A shared platform supports learning across academic and professional backgrounds, with room for discussion, collaboration, and continued growth.
Learning in practice
Explore a growing catalogue
Current subjects span brain signals and AI, neural dynamics, scientific programming, human movement, and other areas of neuroscience and neurotechnology.
Current catalogue snapshot
Course availability, prices, and offers can change. Confirm current details on Neurovidya before enrolling.
AI for EEG
A beginner-friendly introduction to EEG, brain-signal processing, and AI-driven analysis.
5 chapters · 5 lessons
Neural Oscillators
Dynamical systems, nonlinear dynamics, emergent behaviour, and neural models from cells to populations.
4 chapters · 6 lessons
AI for EEG Bootcamp
A more extensive learning pathway through EEG and artificial intelligence.
7 chapters · 37 lessons
Human Movement Analysis
Motion capture, biomechanics, feature extraction, and AI methods that turn movement into meaningful data.
3 chapters · 3 lessons
Python for Neuroscience
Scientific-computing fundamentals taught through neuroscience-oriented programming applications.
4 chapters · 4 lessons
Book · 60 pages
Whole and Its Parts
Prof. V Srinivasa Chakravarthy explores how humanity discovered what the brain does.
Who it serves
Neurovidya welcomes curious beginners and experienced learners alike, including students supplementing their studies, researchers strengthening technical skills, and professionals bringing neuroscience into their work.
Start learning
Enter the Neurovidya learning platform
Visit Neurovidya for the latest courses, workshops, schedules, pricing, and enrolment information.