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​NeuCube is a brain-inspired computational architecture based on spiking neural networks (SNN) for spatio-temporal data. NeuCube was designed by Professor Nikola Kasbov, who also oversaw its development and implementation. Knowledge Engineering Consulting offers a comprehensive suite of services designed to facilitate the deployment of NeuCube in a variety of projects across health, economic, and financial domains.

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An "EFuNN - DENFIS - NeuCube Club" has been established with the objective of supporting users of ECOS and NeuCube to share knowledge and experience for further development and applications of these important methods of contemporary AI.

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(The NeuCube SNN architecture  from:   Kasabov, N. NeuCube: A Spiking Neural Network Architecture for Mapping, Learning and Understanding of Spatio-Temporal Brain Data, Neural Networks vol.52 (2014), pp. 62-76, http://dx.doi.org/10.1016/j.neunet.2014.01.006)     

 

The following projects are using NeuCube:

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• Brain data modelling

• EEG: peri-perceptual modelling; mindfulness; Depression; AD; response to treatment; BCI

• fMRI: cognitive data modelling

• fMRI+ DTI: response to treatment

• EEG + MRI data: epilepsy

• neurogenetic, integrated data

• Gene expression over time

• Audio/Visual data processing

• Speech, sound and music recognition

• Moving object recognition

• Language processing

• Multisensory streaming data

• Health risk event prediction from temporal climate data (stroke)

• Hazardous environmental event prediction (e.g. risk of earthquakes in NZ; flooding in Malaysia; pollution in London area; extreme weather from satellite images)

• Brain-Computer Interfaces and knowledge transfer between humans and machines

• Robot control

• Neuro-rehabilitation robots (with China Academy of Sciences)

• NeuCube is currently used in the labs of 25 countries

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