Dura-Bernal Lab | Dura-Bernal Lab

Computational Neuroscience

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
Machine Learning

We use machine learning methods to optimize, analyze and interpret neuroscience data.
Biomimetic Neuroprosthetics

We develop brain-machine interfaces to read and write brain signals based on biologically-detailed models.
Supercomputing

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

on 2023-06-25
Multiscale model of motor cortex circuits published in Cell Reports

on 2023-06-21
Somatosensory thalamocortical model published in Frontiers in Neuroinformations

on 2023-06-21
NIH-funded Postdoc or Software Developer position in computational neuroscience

on 2022-09-20
Research project using NetPyNE is awarded amongst best works in the SUNY Downstate Annual Research Day 2022

on 2022-09-20
PhD Candidate Joao Moreira participates in an internship on modeling the Olfactory Bulb in Italy

on 2022-09-20
Awarded new NIH funding to interface NetPyNE and The Virtual Brain tools

on 2022-09-20
New paper on a thalamocortical model of somatosensory cortex

on 2022-09-20
PhD Candidate Joao Moreira participates in an internship at Florida Atlantic University

on 2022-09-20
Organized International Seminar on Consumer Rights and Neurotechnologies

on 2022-07-08

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Research Funding

NIH

NSF

NYS