Lecture

Challenge of even bigger models

Description

This lecture discusses the challenge of simulating large-scale neural network models, focusing on the Hippocampus model with over 700,000 neurons and millions of compartments. It explores the evolution of computing power, from ENIAC to modern supercomputers like OLCF Summit, and the optimization strategies for memory efficiency in neural simulations using NEURON and CoreNEURON.

In MOOCs (2)

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_7i7j6p0u

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Ontological neighbourhood

Computer engineering

High-performance computing: Parallel computing

Biology

Neuroscience: Computational neuroscience

Information engineering

Machine learning: Artificial neural networks

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