High-performance computing in neuroscience - from physiologically realistic neurons to full-scale brain models

Workshop on CNS 2015, Prague, Czech Republic

Start
23rd July 2015 07:00 AM
End
23rd July 2015 03:00 PM
Location
Prague

Chairs: Wolfram Schenck, Alex Peyser, Markus Butz (JSC)

Supercomputing is increasingly available in neuroscience and boosts the ability to create models with a degree of detail and biological realism never seen before. By the recently available computational power, single cell models can now represent a highly detailed neuronal morphology, compartmentalized functional interactions between synapses on a single dendritic branch and even molecular processes on a sub-synaptic scale.

Biological neuronal network models, too, become more realistic as representing a large amount of different cell types in a realistic layered cortical organization predicting dynamics of spike trains in cortical networks. Different forms of synaptic and structural plasticity can be combined in one model allowing us to study interfering activity and connectivity dynamics on different spatio-temporal scales. The ultimate goal is to generate full-scale brain models on the world’s high-end supercomputers. The hope is that physiologically realistic brain models will provide us deeper understanding of the healthy and diseased brain and offer novel tools to design new treatment strategies after brain lesions and for neurodegeneration.

The aim of this workshop is therefore to bring together the leading developers of high performance simulation and hardware tools in neuroscience with users from experimental fields and to demonstrate potential applications of the new techniques. Workshop speakers from the HPC domain are encouraged to present how their tools contribute to the scientific progress in neuroscience while experimentalists should point out the need for HPC resources in their workflow.

This workshop will be complemented by a special issue in Frontiers in Neuroanatomy entitled “Anatomy and plasticity in large-scale brain models”, https://www.frontiersin.org/research-topics/3644/anatomy-and-plasticity-in-large-scale-brain-models.

Programme

Morning session: Software and hardware tools for simulation of large-scale neuronal networks

9:00

Wolfram Schenck / Alex Peyser

Welcome

9:15

Steve Furber

The SpiNNaker Brain Simulation Machine

9:45

Elisabetta Chicca

Simulating plasticity with neuromorphic hardware

10:15

Coffee break


10:45

Ben Torben-Nielsen

An HPC approach to generate context-dependent virtual neuronal morphologies

11:15

Bill Lytton / Michael Hines

NEURON and the Neuroscience Gateway Portal

11:45

Wolfram Schenck

The Simulation Lab Neuroscience - A novel institution to support Neuroscientists in using HPC infrastructure

12:15

Final discussion for the morning session

12:30 - 13:45 Lunch break

Afternoon session: From large-scale neuronal networks to full-scale brain models

13:45

Sacha van Albada

Large-scale model of the visual cortex in NEST

14:15

Sebastian Rinke / Markus Butz

Towards rewiring of full-scale cortical networks

14:45

Coffee break

15:15

James Kozloski

Constraints for large-scale neural tissue simulation derived from a homeostatic brain model of plasticity and risk in Huntington's disease

15:45

Sven Strohmer / Markus Axer

Big brain - big data. How to store and process PLI data

16:15

Petra Ritter

The Virtual Brain platform: reverse engineering the brain

16:45

Final discussion for the afternoon session

Organizers

Wolfram Schenck, Alex Peyser, Markus Butz (JSC)

For questions regarding the program please contact:

Wolfram Schenck
Simulation Lab Neuroscience - Bernstein Facility for Simulation and Database Technology,
Institute for Advanced Simulation,
Jülich Aachen Research Alliance

Forschungszentrum Jülich
52425 Jülich | Germany
phone: +49 2461 61 6719
e-mail: w.schenck@fz-juelich.de

Last Modified: 16.11.2022