📢 Application Deadline: August 31st, 2026 | Registration Deadline: September 15th, 2026
A 12-week guided computational research mentorship where school students learn neuroscience, build a working model, run experiments and present real research.
24 Guided Live Sessions: Covering neuroscience, mathematics, Python and computational modelling
Practical Research Experience: Build and investigate a real computational model of a brain phenomenon
Guided Research Mentorship: Work alongside mentors through every stage of the research process
Symposium Presentation: Communicate your findings and present your research at the symposium
In Stage 03, participants are divided into six teams, two per computational approach. Each team investigates a genuine open question in neuroscience.
How can a stationary image produce neural signals that are interpreted as movement?
Particular combinations of contrast, spatial filtering and temporal response differences can produce motion-like activity even when the image is stationary.
How can face detection remain intact while face identity recognition fails?
Prosopagnosia can result from disruption of higher-level identity representations or their readout, even when early visual processing and face detection remain functional.
Why are some stored memories more vulnerable than others?
Memories with weaker, less distributed or more overlapping representations may have shallower attractor basins and therefore disappear earlier as the network is damaged.
How can a temporary emotional change become a persistent mood state?
Strong recurrent feedback can deepen a mood attractor so that the network remains in that state after the original trigger has disappeared.
Why might a narrow doorway cause an interruption of otherwise successful walking?
At a spatial bottleneck, action alternatives may become closely matched or the local value gradient may become weak or ambiguous. Reduced dopaminergic action selection could then produce freezing.
Could apparently inconsistent behaviour arise from an agent that explores too much?
Excessive exploration can reduce consistent task performance while sometimes improving discovery and adaptation in changing environments.
About
BodhBridge was an IIT Madras incubated company established in 2008. BodhBridge ESPL works closely with Schools, Colleges, Governments, etc. by providing various services to help students. BodhBridge has been selected for the NASSCOM Emerge 50 Awards, 2011. As part of their journey, they helped more than 5 Lakh students through Career Guidance programs, Campus Placement Preparation programs, Career Development, Career Assessments, Teacher Training programs, Certification Programs, Competitive Exam preparation, etc. BodhBridge specializes in employability assessment and career assessments.
About
Incubated at IIT Madras, Neurogati was born from a shared vision to integrate multiple dimensions of neurotechnology into a single, comprehensive system. Our founders believed that a more precise understanding of the brain-rooted in the powerful combination of AI, Computational Neuroscience, and Technology, could unlock earlier diagnoses, smarter therapies, and more intuitive support for those facing neurological disorders, neurodiversity, and the challenges of aging.
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