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Simulation Neurotechnologies for Advancing Brain Research: Parallelizing Large Networks in NEURON

The current use of the NEURON simulator with message passing interface (MPI) for simulation in the domain of moderately large networks on commonly available high-performance computers (HPCs) is described and the basic layout of such simulations is discussed.
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25th Annual Computational Neuroscience Meeting: CNS-2016

Table of contents Functional advantages of cell-type heterogeneity in neural circuits, Dynamics and biomarkers of mental disorders, and Objective criteria for computational neuroscience model selection are presented.
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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3

This work was produced as part of the activities of FAPESP Research, Disseminations and Innovation Center for Neuromathematics (grant 2013/07699-0, S. Paulo Research Foundation). NLK is supported…
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Computer modeling of ischemic stroke

Multiscale computational modeling is a technique to assist understanding of the many agents involved in these multitudinous interacting pathways to provide clues for in silico development of multi-target polypharmacy drug cocktails.
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Yoga as an adjunctive treatment for nonoperative low-back pain.

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Parallelizing large networks using NEURON-Python

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3

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Increased open fracture complications following pediatric all-terrain vehicle accidents.

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Risk Factors for Nonunion in Pediatric Lateral Column Lengthening (Mosca) Procedures

Age at time of surgery and graft fixation method to be significant risk factors for development of non-union in patients undergoing calcaneal lengthening osteotomy for pediatric pes planus are found.
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25th Annual Computational Neuroscience Meeting: CNS-2016

A functional advantages of cell-type heterogeneity in neural circuits and a model of olfactory associative learning for computational neuroscience model selection are presented.
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