Peter U. Diehl

Publication Activity (10 Years)

Years Active: 2014-2018
Publications (10 Years): 10

Top Topics

Biologically Plausible

Spiking Neural Networks

Emotion Recognition

Top Venues

Frontiers Comput. Neurosci.

Publications

Peter U. Diehl, Julien N. P. Martel, Jakob Buhmann, Matthew Cook
Factorized Computation: What the Neocortex Can Tell Us About the Future of Computing. Frontiers Comput. Neurosci. 12 (2018)
Johannes Thiele, Peter U. Diehl, Matthew Cook
A wake-sleep algorithm for recurrent, spiking neural networks. CoRR (2017)
Peter U. Diehl, Bruno U. Pedroni, Andrew Cassidy, Paul Merolla, Emre Neftci, Guido Zarrella
TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth. CoRR (2016)
Peter U. Diehl, Bruno U. Pedroni, Andrew Cassidy, Paul Merolla, Emre Neftci, Guido Zarrella
TrueHappiness: Neuromorphic emotion recognition on TrueNorth. IJCNN (2016)
Peter U. Diehl, Guido Zarrella, Andrew S. Cassidy, Bruno U. Pedroni, Emre Neftci
Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware. CoRR (2016)
Robin Spiess, Richard George, Matthew Cook, Peter U. Diehl
Structural Plasticity Denoises Responses and Improves Learning Speed. Frontiers Comput. Neurosci. 10 (2016)
Peter U. Diehl, Guido Zarrella, Andrew Cassidy, Bruno U. Pedroni, Emre Neftci
Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware. ICRC (2016)
Peter U. Diehl, Matthew Cook
Learning and Inferring Relations in Cortical Networks. CoRR (2016)
Peter U. Diehl, Matthew Cook
Unsupervised learning of digit recognition using spike-timing-dependent plasticity. Frontiers Comput. Neurosci. 9 (2015)
Peter U. Diehl, Daniel Neil, Jonathan Binas, Matthew Cook, Shih-Chii Liu, Michael Pfeiffer
Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing. IJCNN (2015)
Peter U. Diehl, Matthew Cook
Efficient implementation of STDP rules on SpiNNaker neuromorphic hardware. IJCNN (2014)