Peter U. Diehl

11 papers B 3Journal 7Unranked 1

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