Skip to main content

MIIND: A Population-Level Neural Simulator Incorporating Stochastic Point Neuron Models

  • 25 Accesses

Definition

MIIND (Multiple Interacting Instantiations of Neural Dynamics) is a neural simulator that allows the creation of large-scale neuronal networks at the population level. Populations of neurons are considered to be homogeneous and comprised of point model neurons. MIIND does not simulate individual neurons but considers their distribution over the model neuron’s state space in terms of a density function and models the evolution of this density function in response to input from other neural populations or external input. From the density function, other quantities can be calculated, such as the population’s firing rate. This rate, in turn, can influence other populations. Because populations interact through firing rates rather than individual spikes, the simulation of networks of spiking neurons becomes easier as no events need to be buffered. Using an XML format, it is easy to configure large-scale network simulations. MIIND is implemented as a C++ package but has a Python...

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-1-0716-1006-0_100680
  • Chapter length: 4 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   2,999.99
Price excludes VAT (USA)
  • ISBN: 978-1-0716-1006-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book
USD   2,999.99
Price excludes VAT (USA)
MIIND: A Population-Level Neural Simulator Incorporating Stochastic Point Neuron Models, Fig. 1

References

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marc de Kamps .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2022 Springer Science+Business Media, LLC, part of Springer Nature

About this entry

Verify currency and authenticity via CrossMark

Cite this entry

de Kamps, M. et al. (2022). MIIND: A Population-Level Neural Simulator Incorporating Stochastic Point Neuron Models. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-0716-1006-0_100680

Download citation