RTHybrid modules for RTXI

           

Set of modules for RTXI with the functionality of RTHybrid to build hybrid circuits between neuron models and living neurons, including the automatic adaptation and calibration algorithms.

For the standalone version of RTHybrid check https://github.com/GNB-UAM/RTHybrid.

Installation

Executing sudo sh install.sh will compile and install all the modules at once (requires sudo permission).

Currently included models

• Neuron models:
  • Hindmarsh-Rose (1984)
  • Komendantov-Kononenko (1996)
• Synapse models:
  • Electrical

Please, if you use RTHybrid or RTHybrid modules for RTXI, cite the following papers:

Amaducci, R., Reyes-Sanchez, M., Elices, I., Rodriguez, F.B., & Varona, P. (2019). RTHybrid: a standardized and open-source real-time software model library for experimental neuroscience. Frontiers in Neuroinformatics, 13, 11. https://doi.org/10.3389/fninf.2019.00011

Reyes-Sanchez, M., Amaducci, R., Elices, I., Rodriguez, F. B., & Varona, P. (2020). Automatic adaptation of model neurons and connections to build hybrid circuits with living networks. Neuroinformatics 18: 377–393. https://doi.org/10.1007/s12021-019-09440-z

Links

Grupo de Neurocomputación Biológica (GNB)

Escuela Politécnica Superior (EPS)

Universidad Autónoma de Madrid (UAM)