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Debanik Bhattacharjee
Post Doc
Debanik Bhattacharjee studies how network architecture shapes function across scales, from pore networks in disordered media to synaptic networks in cortical microcircuits. He is a NeuroAI Postdoctoral Fellow at the Edmond and Lily Safra Center for Brain Sciences (ELSC), Hebrew University of Jerusalem, working with Prof. Idan Segev on connectomics-driven inhibitory circuit mapping and dendritic gating principles. He earned his PhD in Environmental Engineering at Technion, where he built coupled pore-network, transport, and adsorption models to quantify how heterogeneity and surfactant-mediated chemistry reroute pathways and set filtration trade-offs in two-phase invasion. He previously completed an MSc in Mechanical Engineering at the University of Alberta, Canada, on droplet spreading and imbibition in microporous membranes, with research visits at IST Austria, the Mechanobiology Institute (NUS), and the Max Planck Institute for Physics of Complex Systems.
Supervisor
CV
Publications
Contact
Moldwin, T., & Segev, I. (2018). Perceptron learning and classification in a modeled cortical pyramidal cell. BioRxiv, 464826. https://doi.org/10.1101/464826
Moldwin, T., Schwartz, O., & Sussman, E. S. (2017). Statistical Learning of Melodic Patterns Influences the Brain’s Response to Wrong Notes. Journal of Cognitive Neuroscience, 29(12). https://doi.org/10.1162/jocn_a_01181
Moldwin, T., Schwartz, O., & Sussman, E. S. (2017). Statistical Learning of Melodic Patterns Influences the Brain’s Response to Wrong Notes. Journal of Cognitive Neuroscience, 29(12). https://doi.org/10.1162/jocn_a_01181
The Hebrew University of Jerusalem, Edmond J. Safra Campus
Goodman (Brain Science) Building Rm. 1201
Givat Ram, Jerusalem, 4190401, Israel
Goodman (Brain Science) Building Rm. 1201
Givat Ram, Jerusalem, 4190401, Israel
Moldwin, T., & Segev, I. (2018). Perceptron learning and classification in a modeled cortical pyramidal cell. BioRxiv, 464826. https://doi.org/10.1101/464826
Moldwin, T., Schwartz, O., & Sussman, E. S. (2017). Statistical Learning of Melodic Patterns Influences the Brain’s Response to Wrong Notes. Journal of Cognitive Neuroscience, 29(12). https://doi.org/10.1162/jocn_a_01181
Moldwin, T., Schwartz, O., & Sussman, E. S. (2017). Statistical Learning of Melodic Patterns Influences the Brain’s Response to Wrong Notes. Journal of Cognitive Neuroscience, 29(12). https://doi.org/10.1162/jocn_a_01181
The Hebrew University of Jerusalem, Edmond J. Safra Campus
Goodman (Brain Science) Building Rm. 1201
Givat Ram, Jerusalem, 4190401, Israel
Goodman (Brain Science) Building Rm. 1201
Givat Ram, Jerusalem, 4190401, Israel