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We study neural computation and develop methods for brain and biosignal data at IIT Mandi. Our work connects computational neuroscience, neural signal processing, clinical AI, brain–computer interfaces, and biologically inspired intelligence.
Nalin Dhiman and Siddharth Panwar Stochastic neural population models exploring the balance between information transmission and firing cost. Simulation code, configurations, processed data tables, and figures. |
Nalin Dhiman and Siddharth Panwar Predictive population closures compared with matched microscopic simulations of adaptive neurons. Solvers, configurations, regression tests, processed results, and figure generators. |
Flow concentration & structural fragility
Analysis code, graph data, result tables, and figures for spatially embedded directed networks. Paper · Physica A ↗
Energy-efficient processing & eligibility-trace plasticity
Code, processed data, and figure generators for the Drosophila optic-lobe connectome study. Paper · Scientific Reports ↗
ScaleBreak-FlyVis
Code and reproducibility materials for studying visual representations across apparent-scale changes. Paper · Neuroinformatics ↗
Ideas, questions, or a collaboration? Visit our research pages, meet the team, or get in touch.
School of Computing and Electrical Engineering · Indian Institute of Technology Mandi
