Miind statistics

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Citations per year

Citations chart

Popular tool citations

chevron_left Functional brain connectivity Realistic neuronal network modelling chevron_right
Popular tools chart

Tool usage distribution map

Tool usage distribution map

Associated diseases

Associated diseases

Miind specifications


Unique identifier OMICS_28774
Name Miind
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C, C++, Python
License BSD 3-clause “New” or “Revised” License
Computer skills Advanced
Version 1.04
Stability Stable
compilers, root, gsl, boost mpi
Maintained Yes



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  • person_outline Marc de Kamps <>

Additional information


Publication for Miind

Miind in publications

PMCID: 5442232
PMID: 28596730
DOI: 10.3389/fninf.2017.00034

[…] and fix, ), thevirtualbrain (sanz leon et al., ), topographica (bednar, ) and the neural field simulator (nichols and hutt, ). similarly, efficient simulators for population-density approaches (miind: de kamps et al., , dipde: cain et al., ) as well as spiking neural networks (see brette et al., for a review) have evolved. the foci of the latter range from detailed neuron morphology […]

PMCID: 3704884
DOI: 10.1186/1471-2202-14-S1-P362

[…] [] is the first publicly available implementation of population density algorithms. like neural mass models, they model at the population level, rather than that of individual neurons, butunlik […]

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Miind institution(s)
Institute for Artificial and Biological Intelligence, University of Leeds, Leeds, West Yorkshire, UK; Institute of Basic Medical Sciences, and Center for Integrative Neuroplasticity, University of Oslo, Oslo, Norway
Miind funding source(s)
Supported by the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 720270 (HBP SGA1).

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