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Nima Dehghani PhD. MD.

Computational & Theoretical Neurosciene, Complex Systems



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  • Nima Dehghani PhD. MD.

    Note: Nima has moved to Allen Discovery Center and will update info at some point in the near future.

    Nima Dehghani is a Computational/Theoretical Neuroscientist. After his medical training, as a research fellow at the MIT/HMS/MGH Martinos center and then at the UCSD Multimodal Imaging Lab & MGH Cortical Neurophysiology Lab, he worked on multimodal investigation and electromagnetic source localization of sleep rhythms and thalamocortical oscillations.  His work at Unite de Neurosciences, Information et Complexite (UNIC) of Centre National de la Recherche Scientifique (CNRS), was on spectral dynamics of MEG/EEG, assessment of self-organized criticality in invasive ensemble recordings, and analyzing network properties of excitation/inhibition in micro-circuitry of the cerebral cortex. At the Wyss Institute, and lately at New England Complex Systems Institute and MIT Physics he uses multimodal techniques in conjunction with the theoretical implications of bioelectromagnetism, multiscale interaction, and complex systems to characterize the dynamic patterns of neuro-signals obtained from miniaturized high-throughput microdevices and large-scale recordings. He aims to use the theoretical perspective of of cellular biophysics, network control and neuronal ensemble dynamics in design of bio-inspired intelligence.

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  • neurovium
    neurovium It is illogical to base the argument on consciousness which we do know what it is nor do we know whether cell-type diversity is it's root. "committee concluded organoids aren’t capable of consciousness because they lack the many cell types and connected structures of a brain" t.co/L94JBFSjf8
    1 day 20 hours ago.
  • neurovium
    neurovium Cool! Last year I did a series of "#ThursdayClassicCorner 🧐🎩" @BrentDoiron is now promising #WednsdayClassicCorner (focused on neurotheory). Looking forward to it. t.co/aNNTk9BPbc
    2 days 22 hours ago.
  • neurovium
    neurovium Throwback "This week’s #ThursdayClassicCorner 🧐🎩 t.co/NVjUBzP73V
    2 days 22 hours ago.
  • neurovium
    neurovium 250 million protein sequences... That is a lot of proteins! Anyone knows how many proteins are sequenced? Is there a databank for this somewhere? t.co/ZrVIUgsAOn
    2 days 22 hours ago.
  • neurovium
    neurovium Compared w physical sci, biosci lack theory. One solution is to use big data/ML, but there can be too much data to produce correlations to any degree of confidence. Without theoretical understanding, AI methods can be “black boxes” that reveal little about their inherent limits. t.co/nQPGK07Mzn
    4 days 18 hours ago.
  • neurovium
    neurovium The full issue on reproducibility in computational domain @RSocPublishing t.co/xHgtazTNz1
    4 days 18 hours ago.
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Nima Dehghani PhD. MD.
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