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

All Publications

Predictive Mouse Ultrasonic Vocalization Sequences: Uncovering Behavioral Significance, Auditory Cortex Neuronal Preferences, and Social Experience-Driven Plasticity by Agarwalla S., De A. , Bandyopadhyay S. Journal of Neuroscience - (2023)
Sub-second Temporal Magnetic Field Microscopy Using Quantum Defects in Diamond by Parashar M., Bathla A. , Shishir D. , Gokhale A. , Bandyopadhyay S. , Saha K. Scientific Reports 12 1-13 (2022)
Differential encoding of two-tone harmonics in the male and female mouse auditory cortex by De A., Agawalla S. , Kaushik R. , Mandal D. , Bandyopadhyay S. Journal of Neuroscience 44 - (2024)
Separate functional subnetworks of excitatory neurons show preference to periodic and random sound structures. (*equal contribution). by Mehra *., Mukesh *. , Bandyopadhyay S. Journal of Neuroscience 42 3165-3183 (2022)
Earliest experience of a relatively rare sound but not a frequent sound causes long term changes in the adult auditory cortex by Mehra M., Mukesh A. , Bandyopadhyay S. Journal of Neuroscience 42 1454-1476 (2022)
Axon hillock currents enable single-neuron-resolved 3D reconstruction using diamond nitrogen-vacancy magnetometry by Parashar M., Saha K. , Bandyopadhyay S. Communications Physics 3 - (2020)
Persistent spiking activity in neuromorphic circuits incorporating post-inhibitory rebound excitation by Hore A., Bandyopadhyay S. , Chakrabarti S. Journal of Neural Engineering 21 - (2024)
Nonlinear Classification of Emotion from EEG Signal Based on Maximized Mutual Information by Ghosh S. M., Bandyopadhyay S. , Mitra D. Expert Systems with Applications 185 - (2021)
Differential rapid plasticity in auditory and visual responses in the primarily multisensory orbitofrontal cortex by Sharma S., Bandyopadhyay S. eNeuro 7 - (2020)
Male-Specific Alterations in Structure of Isolation Call Sequences of Mouse Pups with 16p11.2 Deletion by Agarwalla S., Arroyo N. S., Long N. E., O T. W., Abel T. , Bandyopadhyay *. Genes Brain and Behavior - (2020)

Completed Projects

Principal Investigator

Coding and Representational Plasticity of Sound Sequences: Alterations in Autism Spectrum Disorders Anusandhan National Research Foundation (ANRF)
Deciphering the link between altered developmental Spontaneous Neuronal Activity and origin of Autism Spectrum Disorders WB-DST
Excitation Inhibition Ratio Changes in Autism Spectrum Disorders - Parallels in Human Subjects and Mouse Models- separate role of subtractive and divisive inhibition (1817_ZBSA) Department of Science and Technology (DST)
Excitation Inhibition Ratio Changes in Autism Spectrum Disorders - Parallels in Human Subjects and Mouse Models- separate role of subtractive and divisive inhibition Department of Science and Technology (DST)
Institute Small Animal House IIT KHARAGPUR