Capturing brain inspired functionalities in molecular circuit elements
The basal ganglia control the detailed kinematics of learned motor skills
Materials for neuromorphic computing
Interactions between emotion, motivation, and cognition.
Interdisciplinary Ph.D. Program in Brain and Artificial Intelligence
Certification Program in Deep Learning
M.Tech. (Artificial Intelligence) Programme by EECS@IISc
IISc Launches M.Tech. [Online] Degree Programmes for Sponsored Candidates
About the group
Computational approaches to understanding brain function form an important and growing area of interdisciplinary research. Gaining a detailed understanding of the human brain has been universally accepted as one of the important grand challenges of the 21st century. The grandness of the challenge and the requirement of diverse forms of expertise necessitate synergistic interactions among neurobiologists, computer scientists and electrical engineers. Many faculty members interested in different aspects of this problem have recently come together and formed an informal research group (also called a thematic cluster) on Brain, Computation, and Data Science. This group comprises more than twenty faculty members from eight different departments (namely, CDS, CNS, CSA, ECE, EE, ESE, MATHS, and MBU) pointing to the interdisciplinary nature of this research endeavour. The group includes researchers in experimental and theoretical neurobiology, artificial intelligence, machine learning, signal processing, electronic systems, hybrid (electronic and neural) hardware systems, etc.
The current work of this group spans the areas of Neuromorphic hardware and hybrid systems, computational models for representation and processing of sensory (e.g., vision, speech, language) information in brain, computational models of biological neurons, neural plasticity, models of learning, signal processing, machine learning, big data analytics, large scale computational models, etc. The vision of this group is to become the nucleus of “Indian Brain Project” and contribute to significant breakthroughs in our understanding of the brain.
Pratiksha Trust
Pratiksha Trust, founded by Mr. Kris Gopalakrishnan and Mrs. Sudha Gopalakrishnan has been extending a very generous support to IISc in promoting research in Brain Science, data science and computing architectures and algorithms inspired by the brain.
The Pratiksha Trust has made a generous endowment for three distinguished visiting chairs at IISc in the general areas of neuromorphic computating, computational neuroscience, machine learning and data science.
Many other academic activities related to the research of this group are also supported by this endowment.
Defects in TMDs (vacancies, substitutional atoms) have been proposed for optical memories and neuromorphic computing. Chemical vapour deposition (CVD) is…
We are designing molecular circuit elements that capture intelligence, cognition and decision-making ability at nanoscale material properties. Our aim is…
A novel predictive modeling framework for the spread of infectious diseases using high-dimensional partial differential equations is developed and implemented.…
Self-organizing maps find numerous applications in learning, clustering and recalling spatial input patterns. The traditional approach in learning spatio-temporal patterns…
The BEES Lab, DESE, IISc focuses on developing microchip-based system solutions for screening, diagnostic, and therapeutic applications in neuroscience and…
