Efficient implementation of STDP rules on SpiNNaker neuromorphic hardware. - Peter U. Diehl; Matthew Cook 001 (IJCNN, 2014)

Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing. - Peter U. Diehl; Daniel Neil; Jonathan Binas; Matthew Cook 001; Shih-Chii Liu; Michael Pfeiffer 001 (IJCNN, 2015)

Unsupervised learning of digit recognition using spike-timing-dependent plasticity. - Peter U. Diehl; Matthew Cook 001 (Frontiers Comput. Neurosci., 2015)

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 (ICRC, 2016)

TrueHappiness: Neuromorphic emotion recognition on TrueNorth. - Peter U. Diehl; Bruno U. Pedroni; Andrew Cassidy; Paul Merolla; Emre Neftci; Guido Zarrella (IJCNN, 2016)

Learning and Inferring Relations in Cortical Networks. - Peter U. Diehl; Matthew Cook 001 (CoRR, 2016)

Structural Plasticity Denoises Responses and Improves Learning Speed. - Robin Spiess; Richard George 001; Matthew Cook 001; Peter U. Diehl (Frontiers Comput. Neurosci., 2016)

A wake-sleep algorithm for recurrent, spiking neural networks. - Johannes Thiele; Peter U. Diehl; Matthew Cook 001 (CoRR, 2017)

Factorized Computation: What the Neocortex Can Tell Us About the Future of Computing. - Peter U. Diehl; Julien N. P. Martel; Jakob Buhmann; Matthew Cook 001 (Frontiers Comput. Neurosci., 2018)