Professional Workshops
Expand your expertise in computational neuroscience and AI diagnostics through our mentorship-driven training programs.
Upcoming Workshops
New Workshops Coming Soon
Past Workshops
Master machine learning approaches to model and simulate brain functions. This advanced workshop covers neural network architectures and practical implementations for complex brain dynamics.
A mentorship-driven online program that takes students from foundational coursework to a supervised, conference-ready research project in computational neuroscience.
Explore how EEG signals are collected, processed, and analyzed using AI and machine learning for breakthrough applications in brain-computer interfaces and neurological diagnosis.
Master machine learning approaches to model and simulate brain functions. This advanced workshop covers neural network architectures and practical implementations for complex brain dynamics.
Hands-on training in EEG signal processing and AI decoding. Participants learned to build pipelines for seizure detection and neurodegeneration analysis.
Hands-on training in EEG signal processing and AI decoding. Participants learned to build pipelines for seizure detection and neurodegeneration analysis.
Master machine learning approaches to model and simulate brain functions. This advanced workshop covers neural network architectures, computational neuroscience, and practical implementations for understanding complex brain dynamics.
Testimonials
Saumya Garg
Psychology Student
IIT Madras Workshop Participant
"This workshop didn't just give me new knowledge—it gave me a new lens. The experience transformed my understanding, particularly regarding the Hodgkin-Huxley model and computational modeling's practical applications in stroke rehabilitation. I learned to move beyond surface-level knowledge to deeper mechanistic understanding through hands-on projects."
Chandana R Hosur
Workshop Organizer
IIT Madras
"Delighted to share the success of our 5-day Computational Neuroscience workshop at IIT Madras (March 27-31, 2026). The enthusiasm and engagement from participants was incredible as we explored neural modeling, brain dynamics, and practical implementations. Grateful to all attendees for making this such a meaningful learning experience."