IISc Brain Co-Processors Moonshot: Pratiksha Trust Launches Neural Revolution for Stroke Rehab

The Dawn of a Neural Revolution at IISc

The Indian Institute of Science (IISc) in Bengaluru has unveiled a groundbreaking initiative that could redefine neuroscience and rehabilitation in India. On March 4, 2026, IISc, in partnership with the Pratiksha Trust, officially launched the Brain Co-Processors Moonshot Project. This ambitious endeavor aims to pioneer implantable and non-invasive devices capable of interfacing directly with the human brain to restore lost functions, particularly in stroke survivors.

At the launch event, attended by Pratiksha Trust founders Senapathy 'Kris' Gopalakrishnan and Sudha Gopalakrishnan, IISc Director Prof. G. Rangarajan highlighted the project's potential to tackle one of India's most pressing health challenges: stroke rehabilitation. The multidisciplinary effort draws from IISc's Brain, Computation, and Data Science (BCD) initiative, uniting experts in neuroscience, electrical engineering, bioelectronics, and artificial intelligence (AI).

What Are Brain Co-Processors?

Brain co-processors represent the next frontier in brain-computer interfaces (BCIs). These sophisticated systems work by first decoding neural activity from brain recordings—using techniques like stereo electroencephalography (sEEG) or electrocorticography (ECoG). The signals are then processed through AI algorithms running on neuromorphic hardware, which mimics the brain's efficient, low-power computing architecture. Finally, the processed information is re-encoded and fed back to the brain via neural stimulation or neurofeedback, effectively augmenting or restoring cognitive and motor functions.

This closed-loop process—decode, process, re-encode—enables real-time intervention. For instance, in a stroke patient struggling with goal-directed reaching, the co-processor could detect intended movements from residual brain signals, optimize them via AI, and stimulate the appropriate neural pathways to facilitate smooth execution. Unlike traditional prosthetics, these devices integrate seamlessly with the brain, promising natural recovery rather than mere compensation.

Neuromorphic computing, a core component, uses spiking neural networks that emulate biological neurons, drastically reducing energy consumption compared to conventional von Neumann processors. This is crucial for implantable devices that must operate continuously without frequent battery replacements.

Pratiksha Trust: Fueling Transformative Neuroscience at IISc

The Pratiksha Trust, established by Infosys co-founder Kris Gopalakrishnan and his wife Sudha, has a storied history of supporting cutting-edge research at IISc. Beyond this moonshot, the trust funds the BCD initiative, the Centre for Brain Research (CBR), and endowed chair positions. Their philanthropy has enabled over ₹450 crore in commitments to aging brain research and computational neuroscience.

"India is emerging as a global leader in neuroscience by uniting foundational research with clinical applications," Gopalakrishnan stated at the launch. This project exemplifies their vision of creating indigenous technologies tailored for low-resource settings, including open-source AI models and India-specific neural databases.Similar international collaborations underscore IISc's growing global stature.

Decoding the Technology: A Step-by-Step Process

The brain co-processor pipeline is elegantly simple yet profoundly complex:

• Neural Recording: Capture high-resolution signals using non-invasive methods like scalp EEG or invasive implants like sEEG/ECoG electrodes.
• AI Decoding: Machine learning models, trained on vast datasets, interpret these signals to infer intentions—e.g., visual stimuli, attention shifts, or motor plans.
• Processing on Neuromorphic Chips: Low-power hardware performs real-time computations, adapting dynamically like the brain.
• Re-encoding and Feedback: Optimized signals are delivered back via transcranial alternating current stimulation (tACS) for non-invasive or direct implants for invasive setups, closing the loop.

Initial sub-themes from the project's planning phase included decoding vision (led by Prof. Supratim Ray), attention (Prof. Sridharan Devarajan), decisions (Prof. Arjun Ramakrishnan from IIT Kanpur), actions (Prof. Hardik Pandya), and real-time processing (Prof. Chetan Singh Thakur). These have converged into three focused streams: building sEEG databases from epilepsy patients, non-invasive co-processors for stroke, and invasive prototypes.

This phased approach ensures rapid prototyping while scaling to clinical trials. For more on research opportunities in AI and neuroscience, IISc's ecosystem is unparalleled.

Targeting India's Stroke Crisis

Stroke imposes a staggering burden on India, with over 1.25 million new cases in 2021—a 51% rise from 1990. Recurrence affects up to 20% of survivors, leading to chronic disabilities like impaired motor control and cognitive deficits. Middle cerebral artery (MCA) strokes, the project's initial target, disrupt sensorimotor coordination, leaving patients unable to perform basic tasks like grasping objects.

Current rehab relies on physiotherapy, which is resource-intensive and often inaccessible in rural areas. Brain co-processors offer personalized, AI-driven therapy, potentially reducing recovery time and costs. By leveraging epilepsy patients' sEEG data (when seizure-free), the project builds foundational datasets ethically and efficiently.Learn more from IISc's official announcement.

IISc's Stellar Multidisciplinary Team

The project harnesses IISc's cross-departmental prowess, with over 20 faculty from BCD. Key principal investigators include:

• Prof. Supratim Ray and team: Vision decoding from primate brains.
• Prof. Sridharan Devarajan et al.: Attention from EEG/fMRI.
• Prof. Arjun Ramakrishnan (IIT Kanpur collab): Decision-making in dynamic tasks.
• Prof. Hardik Pandya et al.: Motor decoding with custom implants.
• Prof. Chetan Singh Thakur: Real-time neuromorphic hardware.

Clinicians like Dr. Shabari Girishan (MS Ramaiah Hospital) ensure translational relevance. International ties, inspired by Prof. Rajesh Rao's neural co-processors concept, position this as a global benchmark. Aspiring researchers can explore such roles through platforms like AcademicJobs.com.

Phased Roadmap: From Prototype to Clinic

The project unfolds in strategic phases:

• Phase 1 (MindReader): High-density recording and decoding tech; non-invasive validation for stroke sensorimotor feedback.
• Phase 2 (MindHacker): Re-encoding via stimulation; minimally invasive implants for chronic MCA stroke.
• Long-term: Clinical trials, FDA/CDSCO approvals, deployment in Indian hospitals.

Emphasis on indigenization: Low-cost electrodes from partners like Eywa Neuro, open-source tools for global access. This aligns with India's NEP 2020 push for research-led innovation in higher education.

For insights into PhD reforms supporting such projects, check recent developments.

Neuromorphic Computing: Powering Efficient Brain Interfaces

IISc leads India's neuromorphic charge, with labs like NeuRonICS developing brain-inspired chips. These devices consume microwatts, ideal for implants, unlike power-hungry GPUs. Recent breakthroughs include analog platforms training AI models efficiently and molecular devices blurring synaptic thresholds.

Challenges like signal noise and biocompatibility are addressed via custom flexible interfaces and AI robustness. This positions Indian universities at the forefront of sustainable AI.Explore the project site.

Implications for India's Higher Education Landscape

This moonshot elevates IISc's role in interdisciplinary research, fostering collaborations with IITs and hospitals. It creates ecosystems for neurotech startups, aligning with India's $10B BCI market projection by 2033. Universities nationwide can replicate models, boosting faculty positions in AI-neuroscience.

Students gain hands-on training in ethical AI, neural data science, vital for Viksit Bharat@2047.

India's BCI Edge in Global Race

While Neuralink advances invasive BCIs, India's focus on affordable, dual invasive/non-invasive solutions suits diverse needs. IIT Kanpur's robotic arms and startups like Nexstem complement IISc's efforts. With 32% growth in research collaborations, India challenges Western dominance.

Challenges, Solutions, and Ethical Horizons

Key hurdles include accurate decoding from damaged brains, long-term implant safety, and data privacy. Solutions: Multimodal datasets, clinician loops, open-source ethics frameworks. Regulatory alignment with ICMR ensures patient-centric progress.

Risks like overstimulation are mitigated via adaptive AI. Future: Expand to Alzheimer's, paralysis.

Photo by Dollar Gill on Unsplash

Career Opportunities and Future Outlook

This project heralds a boom in neurotech jobs—PhDs, postdocs, faculty in BCI/AI. IISc's model inspires universities, driving postdoc roles. By 2030, expect clinical deployments transforming millions.

Explore openings at AcademicJobs.com/higher-ed-jobs, rate professors, or career advice. For India-specific positions, visit /in.

In summary, IISc's Brain Co-Processors Moonshot isn't just research—it's a beacon for India's higher education and healthcare future. Stay tuned for breakthroughs.