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A novel CPU/GPU simulation environment for large-scale biologically realistic neural modeling.

Roger V Hoang1, Devyani Tanna, Laurence C Jayet Bray

  • 1Brain Computation Laboratory, Department of Computer Science and Engineering, University of Nevada, Reno NV, USA.

Frontiers in Neuroinformatics
|October 10, 2013
PubMed
Summary

This study introduces the NeoCortical Simulator version 6 (NCS6), a novel computational neuroscience tool. NCS6 accelerates large-scale neural simulations using combined CPU/GPU power, enabling faster study of complex brain structures.

Keywords:
CPU/GPU simulationbiologically realisticizhikevich neuronslarge-scale modelingleaky integrate-and-fire neuronsneocortical simulator (NCS)

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Area of Science:

  • Computational Neuroscience
  • Neuroscience
  • Computer Science

Background:

  • Realistic neural simulations are crucial for studying complex brain structures.
  • Increasing biological detail in models leads to longer simulation execution times.
  • Existing neural simulators often struggle with performance when detailed biological models are used.

Purpose of the Study:

  • To present a novel, efficient simulation environment for large-scale biological neural networks.
  • To overcome the performance limitations of current simulators in handling biologically detailed models.
  • To introduce the NeoCortical Simulator version 6 (NCS6) as a solution.

Main Methods:

  • Development of a parallelizable and scalable CPU/GPU simulation environment (NCS6).
  • Implementation of built-in leaky-integrate-and-fire (LIF) and Izhikevich (IZH) neuron models.
  • Inclusion of a plug-in interface for custom neuron models.
  • Distribution of data across a cluster of eight machines, each with two GPUs.

Main Results:

  • NCS6 achieves significant acceleration of neural simulations compared to CPU-only or single-GPU approaches.
  • The simulator can handle large-scale networks, simulating one million cells and 100 million synapses.
  • Quasi real-time simulation performance is achieved on a distributed cluster.

Conclusions:

  • NCS6 offers a powerful, open-source platform for large-scale neural simulations.
  • The combined CPU/GPU approach effectively addresses performance bottlenecks in computational neuroscience.
  • NCS6 enables more complex and biologically realistic brain simulations efficiently.