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Computer simulations to understand the brain

We use computer simulations of the brain to uncover the mechanisms responsible for normal brain function and neurological/psychiatric disease

Detailed neuroanatomy and neurophysiology

Function follows forms through multiple scales from molecular up through local connections (microconnectomics), to large-scale brain connectomics. 

Optimizing physiological parameters of M1 corticospinal cell
Properties (and pathologies) emerge at each scale

Multiscale model simulations are used to detect and understand these emergences.

High-performance computing (HPC) technology

HPCs (supercomputers) enable parallel simulation of large networks and optimization of complex high dimensional systems

Governing Hypotheses

Neuroanatomy and neurophysiology are critical: function follows forms through multiple scales from molecular to local connections (microconnectomics), to large-scale brain connectomics. Properties/pathology emerge at each scale.
There is no one brain code, but rather several codes that are important at different scales, as well as multiple codes that operate at the cell-spiking scale: rate codes, wave-front codes, synchrony codes etc.
Most brain disease occurs not through single dysfunction at a gene but through multiple causes. Dysfunctions occur at the level of genes, proteins, cells, tissue and networks. Disorders at one location at one scale set up cycles of effects.

Biomimetic Neuroprosthetics

NetPyNE GUI

News

NSF-funded E-CAS project results: Researchers Study The Brain's Neural Code by Simulating Cortical Circuits on 100k Simultaneous Cores Using Google Cloud

Wednesday, 24 June 2020
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New publication in eLife on the NetPyNE tool

Sunday, 26 May 2019
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Workshop at Brown on Multiscale Modeling Using NEURON/NetPyNE

Thursday, 23 May 2019
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Research Support

Research and curriculum development at the Neurosimulation Laboratory has been continuously supported for over 25 years by funders including:

 

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