Peter U. Diehl

According to our database, Peter U. Diehl authored at least 9 papers between 2014 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Factorized Computation: What the Neocortex Can Tell Us About the Future of Computing.

Peter U. Diehl, Julien N. P. Martel, Jakob Buhmann, Matthew Cook

Frontiers Comput. Neurosci., 2018

2017

A wake-sleep algorithm for recurrent, spiking neural networks.

Johannes Thiele, Peter U. Diehl, Matthew Cook

CoRR, 2017

2016

Structural Plasticity Denoises Responses and Improves Learning Speed.

Robin Spiess, Richard George, Matthew Cook, Peter U. Diehl

Frontiers Comput. Neurosci., 2016

Learning and Inferring Relations in Cortical Networks.

Peter U. Diehl, Matthew Cook

CoRR, 2016

TrueHappiness: Neuromorphic emotion recognition on TrueNorth.

Peter U. Diehl, Bruno U. Pedroni, Andrew Cassidy, Paul Merolla, Emre Neftci, Guido Zarrella

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware.

Peter U. Diehl, Guido Zarrella, Andrew Cassidy, Bruno U. Pedroni, Emre Neftci

Proceedings of the IEEE International Conference on Rebooting Computing, 2016

2015

Unsupervised learning of digit recognition using spike-timing-dependent plasticity.

Peter U. Diehl, Matthew Cook

Frontiers Comput. Neurosci., 2015

Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing.

Peter U. Diehl, Daniel Neil, Jonathan Binas, Matthew Cook, Shih-Chii Liu, Michael Pfeiffer

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Efficient implementation of STDP rules on SpiNNaker neuromorphic hardware.

Peter U. Diehl, Matthew Cook

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014