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
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Predictive Mouse Ultrasonic Vocalization Sequences: Uncovering Behavioral Significance, Auditory Cortex Neuronal Preferences, and Social Experience-Driven Plasticity Agarwalla S., De A. , Bandyopadhyay S. By Journal of Neuroscience - (2023)
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Contribution of the ventral pouch in the production of mouse ultrasonic vocalizations S A., Agarwalla S. , Bhattacharya A. , Bandyopadhyay S. By Physical Review E 107 024412- (2023)
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Sub-second Temporal Magnetic Field Microscopy Using Quantum Defects in Diamond Parashar M., Bathla A. , Shishir D. , Gokhale A. , Bandyopadhyay S. , Saha K. By Scientific Reports 12 1-13 (2022)
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Separate functional subnetworks of excitatory neurons show preference to periodic and random sound structures. (*equal contribution). Mehra *., Mukesh *. , Bandyopadhyay S. By Journal of Neuroscience 42 3165-3183 (2022)
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Earliest experience of a relatively rare sound but not a frequent sound causes long term changes in the adult auditory cortex Mehra M., Mukesh A. , Bandyopadhyay S. By Journal of Neuroscience 42 1454-1476 (2022)
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Nonlinear Classification of Emotion from EEG Signal Based on Maximized Mutual Information Ghosh S. M., Bandyopadhyay S. , Mitra D. By Expert Systems with Applications 185 - (2021)
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Axon hillock currents enable single-neuron-resolved 3D reconstruction using diamond nitrogen-vacancy magnetometry Parashar M., Saha K. , Bandyopadhyay S. By Communications Physics 3 - (2020)
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Differential rapid plasticity in auditory and visual responses in the primarily multisensory orbitofrontal cortex Sharma S., Bandyopadhyay S. By eNeuro 7 - (2020)
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Male-Specific Alterations in Structure of Isolation Call Sequences of Mouse Pups with 16p11.2 Deletion Agarwalla S., Arroyo N. S., Long N. E., O T. W., Abel T. , Bandyopadhyay *. By Genes Brain and Behavior - (2020)
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Parallel lemniscal and non-lemniscal sources control auditory responses in the orbitofrontal cortex (OFC) Srivastav H. K., Bandyopadhyay S. By eNeuro 7 - (2020)
Principal Investigator
- Development of Sensory Inputs to the Frontal Cortex in Mouse Model of Autism Spectrum Disorders
- Excitation Inhibition Ratio Changes in Autism Spectrum Disorders -
Parallels in Human Subjects and Mouse Models- separate role of subtractive and divisive inhibition (1817_ZBSA)
- Processing of Complex Sound Signals including Vocalizations in Mice Models of Autism and Different types of Sensorineural Hearing Loss
Co-Principal Investigator
- Institute Small Animal House IIT KHARAGPUR
- Nonlinear Associations in Multivariate Data: Adaptations in Geosciences, and Neurosciences Apex Committee of SPARC
Ph. D. Students
Amiyangshu De
Area of Research: Neurobiology
Ann Soniya M Micheal
Area of Research: Auditory Neural Processing
Ritwika Purkait
Area of Research: Neurophysiology
Riya Sharma
Area of Research: Cognitive Neuroscience
Srishti Jain
Area of Research: Neurophysiology
Subashini Lakshmanan
Area of Research: Neurophysiology
