All videos regarding the work of the INM-6 are shown below
Find more information about the work of the INM-6 in the Videos
NEST videos
NEST videos on Youtube:
Interview with Prof. Dr. Hans Ekkehard Plesser
NEST - simulating a single neuron
NEST user-level documentation: Why, how and what's next?
Multi-scale spiking network model of macaque visual cortex
NEST::documented
How do nerve cells communicate? How do they store memories? Computer simulations help scientists to better understand the complex processes that take place in the brain. The simulation software NEST allows them to investigate how thousands of nerve cells interact -- and, thus, to get closer to deciphering the secrets of the brain.
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NEST - A brain simulator
How do nerve cells communicate? How do they store memories? Computer simulations help scientists to better understand the complex processes that take place in the brain. The simulation software NEST allows them to investigate how thousands of nerve cells interact -- and, thus, to get closer to deciphering the secrets of the brain.
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Press Videos and other Media
Federal President Joachim Gauck and SpiNNaker
On his visit, Federal President Joachim Gauck gets informed about the future of neuromorphic hardware SpiNNaker (Short for Spiking Neural Network Architecture). Together with our partners in Manchester the INM-6 / IAS-6 developed a hardware which is able to to simulate the behaviour of aggregates of up to a billion neurons in real time. By doing this, SpiNNaker is highly efficient and a powerful million-core computing engine.
For more information visit: http://apt.cs.manchester.ac.uk/projects/SpiNNaker/
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HBP HPAC Platform Release: NEST-SpiNNaker-Elephant - Demo
This demo was shown as part of the release of the Human Brain Project's (HBP) High Performance Analytics & Computing Platform (HPAC) on 30th March 2016.
It demonstrates how the HPAC Platform can be used to run brain simulations with NEST on supercomputer JUQUEEN and using SpiNNaker.
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Signals from the depth of the brain
Based on the publication:
Lindén H, Tetzlaff T, Potjans TC, Pettersen KH, Grün S, Diesmann M, Einevoll GT (2011)
Modelling the spatial reach of the LFP
Neuron 72 (5) p. 859-872
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Nahaufnahme Wissenschaft
Prof. Markus Diesmann leitet das Institut für Neurowissenschaften und Medizin - Computational and Systems Neuroscience (INM-6) am Forschungszentrum Jülich. Dieser Bereich entwickelt mathematische Modelle für Nervenzellen und Netzwerke von Nervenzellen. Das bessere Verständnis der Funktionsweise des Gehirns ist die Voraussetzung dafür, Hirnerkrankungen genauer diagnostizieren und besser behandeln zu können. Aber nicht nur das: Wenn es gelänge, die Mechanismen der Datenverarbeitung der grauen Zellen auf Computersysteme zu übertragen, könnten sehr viel leistungsstärkere Rechner gebaut werden - bei vergleichsweise minimalem Energieverbrauch.
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The future of computing - Inspired by the Human Brain (Jülich and IBM)
Forschungszentrum Jülich is a leading provider of supercomputing resources and they joined the OpenPOWER Foundation in April 2014 to broaden the scope of available Supercomputing solutions and products. Watch this short video to see how Forschungszentrum Jülich and IBM jointly explore future technologies for energy efficient computing.
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Hidden connections - Data analysis in brain and supermarket
Neuroscientist Sonja Grün uses methods from retailing market research to understand how neurons cooperate.The statistical method known as "frequent itemset mining" (FIM) finds groups of objects in large volumes of data quickly and efficiently and counts their frequencies. In retailing market research, this is used, for example, to identify products that are often purchased together. In brain research, a modified version of the FIM method helps to distinguish behaviour-dependent activity patterns from random patterns.
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Lectures and Talks
Sonja Grün - Data driven analysis of spatio-temporal cortical interaction
Keynote lecture from Sonja Grün at Neuroinformatics 2012 in Munich, Germany
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Markus Diesmann: Towards multi-layered multi-area models of cortical networks
Towards multi-layered multi-area models of cortical networks
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Minimal cell-type specific model of the cortical microcircuit and critique
Markus Diesmann at OCCAM 2013
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CSN Virtual Seminar
Christoph Kayser (Universität Bielefeld). "How multisensory perception is shaped by causal inference and serial effects."
Simon Eickhoff (INM-7, Jülich Research Centre and Heinrich Heine University Düsseldorf) looks back to move forward: Meta-Analytic priors for machine-learning on fMR
Alex Williams talks about "Point process models for sequence detection in high-dimensional neural spike trains."
Adam Kohn (Albert Einstein College of Medicine, New York ) talks about Corticocortical communication
Advanced Neural Data Analysis Course 2021 - Keynotes
Yifat Prut - Cortical-subcortical interactions underlying motor control and motor learning
Jakob Macke - Training neural networks to identify mechanistic models of neural dynamics
Hansjörg Scherberger - Population Signals for Hand Grasping in Primate Cortex
Advanced Neural Data Analysis Course 2019 - Lectures and Keynotes
Martin Nawrot - Experimental spike trains
Martin Nawrot - Cortial variability dynamics experimental observations and mechanistic models
Thomas Wachtler - Keeping track of your data - Methods for comprehensive research data management
Michael Denker - Reproducible analysis of activity data - Open software for sustainable research
Sonja Grün - Correlation analysis of parallel spike trains
Sonja Grün - Correlation analysis of massively parallel spike trains
Moshe Abeles - Extended 'Unitary Events' in MEG recordings
Videos regarding selected Research Projects
The Role of the INM-6 in the Human Brain Project
Human Brain Project - A collaborative effort
Human Brain Project - Future Neuroscience
Human Brain Project - Future Computing
Human Brain Project - Future Neuroinformatics
Human Brain Project - Brain Simulation Platform