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Shoutik Mukherjee
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2020 – today
- 2024
- [j2]Shoutik Mukherjee, Behtash Babadi:
Adaptive modeling and inference of higher-order coordination in neuronal assemblies: A dynamic greedy estimation approach. PLoS Comput. Biol. 20(5): 1011605 (2024) - [c5]Shoutik Mukherjee, Peter Jendrichovksy, Patrick O. Kanold, Behtash Babadi:
Reinforcement Learning-Guided Optogenetic Stimulation Policies for Robust Functional Network Discovery. ICASSP 2024: 13271-13275 - 2023
- [j1]Loren Koçillari, Marco Celotto, Nikolas A. Francis, Shoutik Mukherjee, Behtash Babadi, Patrick O. Kanold, Stefano Panzeri:
Behavioural relevance of redundant and synergistic stimulus information between functionally connected neurons in mouse auditory cortex. Brain Informatics 10(1): 34 (2023) - [c4]Loren Koçillari, Marco Celotto, Nikolas A. Francis, Shoutik Mukherjee, Behtash Babadi, Patrick O. Kanold, Stefano Panzeri:
Measuring Stimulus-Related Redundant and Synergistic Functional Connectivity with Single Cell Resolution in Auditory Cortex. BI 2023: 45-56 - 2021
- [c3]Shoutik Mukherjee, Behtash Babadi:
Dynamic Analysis of Higher-Order Coordination in Neuronal Assemblies via De-Sparsified Orthogonal Matching Pursuit. NeurIPS 2021: 4120-4133 - 2020
- [c2]Anuththara Rupasinghe, Shoutik Mukherjee, Behtash Babadi:
Adaptive Frequency-domain Granger Causal Inference from Neuronal Ensemble Data. ACSSC 2020: 101-105
2010 – 2019
- 2019
- [c1]Shoutik Mukherjee, Behtash Babadi:
A Statistical Approach to Dynamic Synchrony Analysis of Neuronal Ensemble Spiking. ACSSC 2019: 1719-1723
Coauthor Index
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