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Dr. Dipanjan Roy
Scientist-IV / Associate Professor
  Email : dipanjan[dot]nbrc[AT]gov[dot]in
 
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Welcome to our Computational Cognitive Neuroscience lab at National Brain Research Centre (NBRC), Manesar, India.

Lab web page

dipanjanr.com

In general, we are interested in how do hierarchical brain areas communicate using underlying neuronal dynamics to shape up memory, attention, perception, action selection and cognition? We do experiments and combine experimental observations with theory and test hypothesis from prominent Cognitive Neuroscience theories of development, perceptual learning, memory, and aging. In this process, our lab develops new statistical methods, biologically realistic computational models and advanced data analysis techniques to refine our understanding of the link between brain and behaviour at multiple spatial and temporal scales.

What are our methods to study large scale cognitive neurodynamics? Our group is  concerned with questions in the area of developing data generation and analysis combining machine learning, nonlinear dynamical systems, network analysis to uncover interrelationships and dependencies among variables observed from state-of-the-art neuroimaging data recorded at high spatial and temporal precision from fMRI, EEG, MEG. Our group focuses on intelligent methods, algorithms to understand structural organization of the human brain and their functional impact. With multiple national and international collaboration with leading neuroimaging labs currently the group is engaged in research to fundamental questions that arise frequently in cognitive neuroscience, especially to understand the role of learning, context-dependent (brain state) modulation and biological noise in shaping up functional and perhaps behavioral responses in human subjects. Learning is thought to change the connections between the neurons in the brain, a process called synaptic plasticity. Using mathematical modeling and computational tools, we model synaptic plasticity across different time scales (fast time scales milliseconds activity) to very slow synaptic activity (in the order of multiple of minutes, days) that reproduces experimental observations. We are also actively engaged in the design of novel stimuli (multi sensory, unisensory, perceptual stimuli) to obtain specific behavioral responses that we are interested in. This allows us to carry out systematic measurement and identify specific neural correlates at the ensemble level responsible for specific behavioral response and manifestation. This would allow us to systematically unravel the timing and the dynamics of cognitive processes.

 
 
 
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