GPU enhanced Neuronal Network (GeNN)

GeNN is a GPU enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.

For more details on how to use GeNN, please see the documentation.

Original Authors: Yavuz, E., Turner, J. and Nowotny, T, CCNR University of Sussex. Additional Author: Shashank Yadav, Indian Institute of Technology Delhi, India.

I worked on GeNN during my internship during May-July 2016 at Centre for Computational Neuroscience and Robotics - CCNR, University of Sussex, United Kingdom under guidance of Prof. Thomas Nowotny and Dr Esin Yavuz.

I have implemented the AdEx model in GeNN and perofrmed some simulations of the honey bee mushroom body. Please see the attached report.

If you use GeNN in your work, please cite "Yavuz, E., Turner, J. and Nowotny, T. GeNN: a code generation framework for accelerated brain simulations. Scientific Reports, 6. (2016)"

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Implementation of Adaptive Exponential Integrate and Fire model on GeNN and Honey Bee mushroom body simulations

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