Brain-Inspired Computing Research       


 photoStefan Harrer photo photo Isabell Kiral-Kornek photo Qinghuang Lin photo photo photo Jianbin Tang photo

Brain-Inspired Computing Research Publications


Deep-learning-based analysis of EEG-data for developing real-time brain-machine interfaces
B. S. Mashford, A. Jimeno Yepes, I. Kiral-Kornek, J. Tang. S. Harrer
IBM Journal of Research and Development, 2017


Improving energy efficiencey and classification accuracy of neuromorphic chips by learning binary synaptic crossbars
A. Jimeno Yepes, J. Tang
arXiv, 2016

Decoding EEG and LFP Signals using Deep Learning: Heading TrueNorth
E. Nurse, B. Mashford, A. Jimeno Yepes, I. Kiral-Kornek, J. Tang, P. Karoly, L. Deligianni, S. Harrer, D. Freestone
ACM Computing Frontiers, 2016

Weighted Population Code for low power neuromorphic image classification
A. Jimeno Yepes, J. Tang, S. Saxena, T. Brosch, A. Amir
accepted for publication in Proc. IJCNN (IEEE), 2016

From Wearables to Thinkables - Deep Learning, Nanobiosensors and the Next Generation of Mobile Devices
S. Harrer, I. Kiral-Kornek, R. Kerr, B. Mashford, J. Tang, A. Jimeno Yepes, H. Deligianni
White Paper. ICONN 2016, Canberra, AU.

External Collaborators

University of Melbourne

Royal Melbourne Hospital

St. Vincent's Hospital Melbourne

Internal Collaborators

IBM Almaden Research Center

IBM T.J. Watson Research Center

IBM Zurich Research Laboratory

IBM Tokyo Research Laboratory