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We use computational simulations and mathematical models to understand the mechanisms responsible for brain function and disease.
Large-scale models of brain circuits
We build and simulate large-scale biophysically detailed models of the brain neural circuits linking multiple scales: molecules, cells, networks and systems. (Visualization: nicolasantille.com)
Tools for multiscale modeling
We develop software tools to build, simulate, optimize and analyze models of brain neural circuits.
NetPyNE modeling tool
We use machine learning methods to optimize, analyze and interpret neuroscience data.
We develop brain-machine interfaces to read and write brain signals based on biologically-detailed models.
We use high-performance computing to run large-scale detailed simulations and explore the parameters of brain circuit models.
News and Media
Postdoc position in computational neuroscience
Multiscale model of motor cortex circuits published in Cell Reports
Somatosensory thalamocortical model published in Frontiers in Neuroinformations
NIH-funded Postdoc or Software Developer position in computational neuroscience
Research project using NetPyNE is awarded amongst best works in the SUNY Downstate Annual Research Day 2022
PhD Candidate Joao Moreira participates in an internship on modeling the Olfactory Bulb in Italy
Awarded new NIH funding to interface NetPyNE and The Virtual Brain tools
New paper on a thalamocortical model of somatosensory cortex
PhD Candidate Joao Moreira participates in an internship at Florida Atlantic University
Organized International Seminar on Consumer Rights and Neurotechnologies
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State University of New York (SUNY)
Downstate Health Sciences University
Department of Physiology and Pharmacology
450 Clarkson Ave
Brooklyn, NY 11203
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Copyright © 2019 Dura-Bernal Lab. All rights reserved.
NEWS AND MEDIA
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