Peter U. Diehl

Publication List

Diehl, P. U. & Cook, M. (2014). Efficient implementation of STDP rules on SpiNNaker neuromorphic hardware. In   International Joint Conference on Neural Networks (IJCNN), 2014 (pp. 4288-4295). IEEE. nominated for best paper at IJCNN 2014

Sheldrake, J., Diehl, P. U. & Schaette, R. (2015). Audiometric Characteristics of Hyperacusis Patients.  Frontiers in Neurology, 6 (105). 

Diehl, P. U. & Schaette, R. (2015). Abnormal Auditory Gain in Hyperacusis: Investigation with a Computational Model. Frontiers in Neurology, 6 (157).

Diehl, P. U., Neil, D., Binas, J., Cook, M., Liu, S. C., & Pfeiffer, M. (2015). Fast-Classifying, High-Accuracy Spiking Deep Networks Through Weight and Threshold Balancing. In  International Joint Conference on Neural Networks (IJCNN), 2015. IEEE.

Diehl, P. U. & Cook, M. (2015). Unsupervised Learning of Digit Recognition Using Spike-Timing-Dependent Plasticity. Frontiers in Computational Neuroscience, 9 (99).

Diehl, P. U., Pedroni, B., (2016)., Cassidy, A., Merolla, P., Neftci, E. & Zarrella, G. TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth.  arXiv.

Diehl, P. U., Zarrella, G., Cassidy, A., Pedroni, G. & Neftci, E. (2016). Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware. arXiv.

Spiess, R., George, R., Cook, M., & Diehl, P. U. (2016). Structural Plasticity Denoises Responses and Improves Learning Speed. Frontiers in Computational Neuroscience (under review).

Diehl, P. U. & Cook, M. (2016). Learning and Inferring Relations in Cortical Networks. In preparation.

Non peer-reviewed publications

Models for a Better Understanding of Hyperacusis
    collaborators:  Roland Schaette, Jacqueline Sheldrake
    keywords:  hyperacusis, computational model, tinnitus, gain, auditory system, loudness discomfort level
    MSc thesis

Interplay between Structural Plasticity and Spike-timing-dependent Plasticity
    collaborators:  Richard George, Matthew Cook, Christian Mayr, Giacomo Indiveri
    keywords:  structural plasticity, STDP, spiking neural networks