What Happened
- The Indian Institute of Science (IISc), Bengaluru, in partnership with the Pratiksha Trust, has launched a moonshot research project to develop brain co-processors — devices that interface directly with the brain to enhance or restore cognitive functions.
- The project, initiated under IISc's Brain, Computation, and Data Science (BCD) group, focuses on developing both invasive (implantable) and non-invasive brain co-processors targeting cognitive rehabilitation of stroke patients.
- Pratiksha Trust — founded by Infosys co-founder Kris Gopalakrishnan and his wife Sudha Gopalakrishnan — has been funding brain science, data science, and neuromorphic computing research at IISc.
- The project's target medical application is stroke rehabilitation, encompassing five sub-themes: decoding vision, attention, decisions, actions, and low-power real-time neural decoding.
- Separately, IISc has also been developing a fully indigenous neuromorphic chip with support from the Ministry of Electronics and Information Technology (MeitY).
Static Topic Bridges
Brain-Computer Interfaces (BCIs) and Neurotechnology
A Brain-Computer Interface (BCI) is a system that establishes a direct communication pathway between the brain's electrical activity and an external device, bypassing normal neuromuscular pathways. BCIs range from non-invasive (EEG-based headsets, transcranial magnetic stimulation) to invasive (surgically implanted electrodes, such as Neuralink's N1 chip). Brain co-processors extend the BCI concept to actively augment or compensate for lost neural function — more akin to a neuroprosthetic than a simple recording device. Global interest surged with FDA Breakthrough Device designation for several BCIs and landmark demonstrations of paralysed patients controlling computers through implanted devices.
- Non-invasive BCIs: Electroencephalography (EEG), functional Near-Infrared Spectroscopy (fNIRS), transcranial direct current stimulation (tDCS)
- Invasive BCIs: Electrocorticography (ECoG), intracortical microelectrode arrays
- Notable global projects: BrainGate (USA), Neuralink (commercial), Synchron (FDA clearance for implant trials), EU Human Brain Project
- Stroke rehabilitation context: ~15 million people worldwide suffer strokes annually; ~5 million are permanently disabled; neural plasticity windows make early intervention critical
- IISc's co-processor: Aims to read neural signals, decode cognitive states, and deliver therapeutic stimulation in a closed-loop manner
Connection to this news: IISc's moonshot positions India in a globally competitive frontier technology space — developing indigenous BCI hardware reduces dependence on imported neurotech and opens pathways for affordable stroke rehabilitation at scale.
Neuromorphic Computing and India's AI Hardware Push
Neuromorphic computing is a computing paradigm that mimics the architecture of the human brain — using spiking neural networks (SNNs) and massively parallel, event-driven processing — to achieve far greater energy efficiency than conventional von Neumann processors. Unlike GPUs (which run continuous matrix operations), neuromorphic chips process only when there is relevant neural "spiking" activity, dramatically reducing power consumption. IISc's NeuRonICS lab and related groups have demonstrated benchmark neuromorphic computing results, with MeitY funding for an indigenous chip now announced.
- Neuromorphic vs conventional computing: Orders of magnitude more energy efficient for pattern recognition and temporal data processing
- Global leaders: Intel's Loihi chip, IBM's TrueNorth, BrainScaleS (European), SpiNNaker (Manchester)
- India's MeitY India AI Mission (₹10,372 crore, 2024): Includes compute infrastructure, AI centres of excellence — neuromorphic R&D aligns with this push
- IISc's NeuRonICS Lab: Neurally-Inspired Reconfigurable Intelligent Circuits and Systems — working on hardware for energy-efficient AI
- Significance for BCI: Implantable co-processors must be ultra-low-power to function within the brain's thermal and metabolic constraints — neuromorphic architecture is the enabling technology
Connection to this news: The brain co-processor project draws on IISc's neuromorphic computing capabilities — the indigenous chip development under MeitY and the BCI project are synergistic, with the former providing the hardware substrate for the latter's implantable device.
India's Science and Technology Ecosystem: Philanthropy and Public Funding
India's R&D ecosystem is characterised by low public investment (R&D expenditure at ~0.64% of GDP, vs 2–3% in developed nations) combined with growing private philanthropic support for frontier research. The Pratiksha Trust model — philanthropist-funded research chairs, moonshot grants, and infrastructure at premier institutions — mirrors models like the Wellcome Trust (UK) or the Gates Foundation (global health). The Science and Engineering Research Board (SERB) and MeitY provide government funding, but high-risk moonshot projects often depend on private philanthropy for seed and sustained support.
- India's R&D spend: ~0.64% of GDP (2022-23); target: 2% of GDP (National Science, Technology & Innovation Policy 2020)
- Pratiksha Trust: Named after Kris Gopalakrishnan's mother; focus areas: brain research, AI, data science
- IISc: India's premier research university (QS World Rankings: consistently top 100 for research output); Bengaluru
- BCD Initiative at IISc: Integrates neuroscience, computational modelling, and data science — a multidisciplinary approach required for BCIs
- Government schemes relevant: MeitY's India AI Mission (₹10,372 crore), DST's National Science Foundation equivalent (ANRF — Anusandhan National Research Foundation, established 2023)
Connection to this news: The Pratiksha Trust-IISc partnership illustrates the increasingly important role of private philanthropy in funding high-risk, long-horizon research in India — particularly for projects that require multi-year commitment before commercial or therapeutic outcomes are visible.
Key Facts & Data
- Project: Moonshot Brain Co-Processor project under IISc's Brain, Computation, and Data Science (BCD) group
- Funding: Pratiksha Trust (founded by Kris Gopalakrishnan and Sudha Gopalakrishnan, Infosys co-founder)
- Project commenced: October 2022 (following special call by BCD Scientific Advisory Committee)
- Target application: Cognitive rehabilitation of stroke patients — decoding vision, attention, decisions, actions, low-power real-time decoding
- Device types: Both invasive (implantable) and non-invasive brain co-processors
- Neuromorphic chip: Separate MeitY-funded indigenous chip project at IISc's NeuRonICS Lab
- India's R&D spend: ~0.64% of GDP (vs 2–3% in developed nations)
- ANRF (Anusandhan National Research Foundation): Established 2023 to boost government research funding
- Global stroke burden: ~15 million per year; ~5 million permanently disabled