Home > Academics > Academic Units > Departments > Electronics and Electrical Communication Engg. > Sharba Bandyopadhyay
Ph.D., Johns Hopkins University, Baltimore, USA
Assistant Professor Grade-I
Electronics and Electrical Communication Engg.
Our brain enables the processing of various sensory information around us, thus facilitating effortless interaction with our environment. The brain is unparalleled in its computational abilities of processing sensory information in an adaptive manner. Many real life problems to do with pattern recognition and learning in single or multiple sensory space(s) are solved or learned by the brain easily whereas artificial algorithms struggle to successfully perform even simple behaviors. Our objective is to find the underlying principles by which the brain solves such problems. Specifically, in terms of structure of cortical circuits: since precise nature of connectivity between specific types of neurons in a network determines its function - we ask what is the precise connectivity of neurons of different types (example: excitatory and inhibitory) that form local functional sensory micro-circuits or modules in the cortex; and, in terms of adaptation/learning by such circuits: how does the connectivity of such circuits change over time, at rapid or long (developmental) time scales, depending on cognitive demands or experience. Our research will not only enhance artificial computation but also allow us to understand the specific deficits underlying various learning and developmental disorders (like dyslexia and autism spectrum disorder). We use a variety of techniques to answer questions: 1) In vivo electrophysiology (single and multiple electrodes) 2) Neuroanatomical methods using retrograde and anterograde labeling and viral techniques 3) In vivo and in vitro Ca2+ Imaging 4) Mapping micro-circuitry with optical stimulation 5) Computational Modeling of Neural Computation
Spectral contrast and nonlinearity in the dorsal cochlear nucleus neurons. by Reiss, L.A.J., Bandyopadhyay, S. and Young, E.D. Journal of Neurophysiology 98 2133 - 2143 (2007)
Evaluation of different mutual information estimation measures in short and noisy time series. by Khan, S., Bandyopadhyay, S., Ganguly, A.R., Saigal, S., Erickson III, D.J., Protopopescu, V. and Ostrouchov, G. Physical Review E 76 - (2007)
Understanding Vocalization Development Deficits in Mouse Models of Autism Spectrum Disorders-Role of Subplate Neurons (SGIGC-2015) IIT KHARAGPUR
NIR-Light Responsive Systems: Single and Dual (Simultaneous and Sequential) Release of Anticancer Drugs Science and Engineering Research Board (SERB)
Institute Small Animal House IIT KHARAGPUR
Muneshwar Mehra
Area of Research: Neuro Physiology
Sudha Sharma
Area of Research: Neurophysiology
Yuvarani M S
Area of Research: Neurobiology
Swapna Agarwalla
Area of Research: Auditory Neurophysiology
Hemant Kumar Srivastava
Area of Research: Neurobiology
Madhur Parashar
Area of Research: Neurobiology
Abhrajyoti Chakrabarti
Area of Research: Auditory Neurophysiology
Adarsh Mukesh
Area of Research: Auditory Neurophysiology
Suman Kumar Gunin
Area of Research: Neurobiology
Amiyangshu De
Area of Research: Neurobiology
