Neural Science for Engineers Course | NPTEL | Prof. Vikas V NIMHANS
Course Details
| Exam Registration | 290 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 12 weeks |
| Categories | Multidisciplinary, Electrical, Electronics and Communications Engineering, Biosciences, Bioengineering |
| Credit Points | 3 |
| Level | Postgraduate |
| Start Date | 19 Jan 2026 |
| End Date | 10 Apr 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 20 Feb 2026 |
| Exam Date | 18 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Bridging the Gap: A Pioneering Course in Neural Science for Engineers
In an era where technology and biology are increasingly intertwined, the need for engineers who understand the brain has never been greater. The National Programme on Technology Enhanced Learning (NPTEL) presents a groundbreaking course, "Neural Science for Engineers," designed specifically to equip engineering minds with a deep, practical understanding of the nervous system. This 12-week postgraduate journey demystifies the brain's complex workings and opens doors to the revolutionary field of neurotechnology.
Meet Your Instructor: A Surgeon-Engineer at the Frontier
Leading this interdisciplinary expedition is Prof. Vikas V, a distinguished Professor of Neurosurgery at the prestigious National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore. With over a decade of experience at NIMHANS, Prof. Vikas embodies the perfect synergy of clinical expertise and engineering innovation.
His credentials are formidable: an MCh from SCTIMST, a DNB in Neurosurgery, and a fellowship in cerebrovascular surgery. Beyond the operating room, he is a deep-tech pioneer, actively pursuing research in neurosurgical robotics, autonomic neurosurgery, novel imaging, and is currently a Ph.D. candidate in data sciences at IIIT-B. With over 50 peer-reviewed publications and hands-on experience developing machine learning models for brain tumor classification and novel neurosurgical devices, Prof. Vikas brings a unique, application-oriented perspective to the course.
Who Should Enroll?
This course is meticulously crafted for a diverse audience seeking to merge engineering principles with neural science:
- Engineering Students & Faculty from disciplines like Electrical, Electronics, Communications, and Bioengineering.
- Medical Students & Faculty looking to understand the engineering behind modern neurodiagnostic and therapeutic tools.
- Any postgraduate professional eager to enter the rapidly expanding neurotechnology sector.
Prerequisite: A pre-university level understanding of math and biology is sufficient. While not mandatory, having taken the NPTEL course on Sensors and Actuators can be beneficial.
Course Overview: From Neurons to Neurotech
This course is structured to transform how engineers perceive and interact with the nervous system. It begins by building a solid foundation in neurobiology, explained through an engineer's lens, before progressing to cutting-edge applications.
Detailed 12-Week Course Layout
| Week | Topics Covered |
|---|---|
| Week 1-2 | Foundation: Introduction to the Nervous System, its basic structure, evolutionary insights, and the hierarchy of function from cells to complex networks. |
| Week 3-4 | The Brain as a System: Exploring neural signal transmission (analog & digital processing), and understanding the brain's control systems, servomechanisms, and operating principles. |
| Week 5-6 | Learning & Computation: Theories and biological mechanisms of learning, leading to the biological basis of artificial neural networks and their neural substrates. |
| Week 7-8 | Introduction to Interfaces: Computational neurobiology, Brain-Computer Interfaces (BCI), and a deep dive into neuro-biopotentials (EEG, EMG, ECoG), including signal acquisition and processing. |
| Week 9-10 | BCI Development: A two-part practical introduction to the process of designing and developing BCI devices. |
| Week 11 | Microdevices & Frontiers: Exploring flexible ECoG devices, microneedles for Local Field Potentials, and bioresorbable neural technology. |
| Week 12 | Integration & Demonstration: Hands-on aspects of BCI device packaging, implantation, and interfacing with read-out electronics for recording signals. |
Industry Relevance & Support
This course is designed with direct industry alignment, featuring support and relevance to key players in the engineering and neurotech space, including MathWorks (for simulation and modeling), OpenBCI (open-source BCI platforms), Neuroscan, and Neuroelectrics (leaders in neurostimulation and recording technology).
Essential Reading & Resources
The course draws upon a rich library of texts, ensuring a blend of fundamental theory and practical engineering knowledge:
- Core Neuroscience: Principles of Neural Science by Kandel et al. (the gold-standard textbook).
- Electronics & Signal Conditioning: The Art of Electronics by Horowitz & Hill; Sensors and Signal Conditioning by Pallas-Areny & Webster.
- Microfabrication & VLSI: Key texts by Madou, Plummer, Sze, and Gandhi for understanding device fabrication.
- Specialized Neurotech: Resources on Event-Related Potentials and operational amplifier design for practical applications.
Why Take This Course?
"Neural Science for Engineers" is more than just a course; it's a gateway to the future of human-centered technology. It empowers engineers to move from being mere users of technology to becoming innovators who can design solutions that directly interface with the most complex system known to humanity—the human brain. Whether your goal is to develop the next generation of medical devices, advance AI through neuromorphic computing, or pioneer consumer neurotechnology, this course provides the critical foundational knowledge to start your journey.
Enroll today and begin translating engineering principles into a deeper understanding of the mind, opening up a world of possibilities in healthcare, rehabilitation, and human-computer interaction.
Enroll Now →