Spiking neuromorphic chip learns entangled quantum states

Demonstrating Advantages of Neuromorphic Computation: A Pilot Study

(2019) Timo Wunderlich et al.   Frontiers in Neuroscience

Towards artificial general intelligence with hybrid Tianjic chip architecture

(2019) Jing Pei et al.   NATURE

Restricted Boltzmann machines in quantum physics

(2019) Roger G. Melko et al.   Nature Physics

Towards spike-based machine intelligence with neuromorphic computing

(2019) Kaushik Roy et al.   NATURE

Stochasticity from function — Why the Bayesian brain may need no noise

(2019) Dominik Dold et al.   NEURAL NETWORKS

Quantum computing with classical bits

(2019) C. Wetterich   NUCLEAR PHYSICS B

Accelerated Physical Emulation of Bayesian Inference in Spiking Neural Networks

(2019) Akos F. Kungl et al.   Frontiers in Neuroscience

Loihi: A Neuromorphic Manycore Processor with On-Chip Learning

(2018) Mike Davies et al.   IEEE MICRO

A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)

(2018) Saber Moradi et al.   IEEE Transactions on Biomedical Circuits and Systems

Neuromorphic computing with multi-memristive synapses

(2018) Irem Boybat et al.   Nature Communications

Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain

(2018) Chetan Singh Thakur et al.   Frontiers in Neuroscience

Solving the quantum many-body problem with artificial neural networks

(2017) Giuseppe Carleo et al.   SCIENCE

The SpiNNaker Project

(2014) Steve B. Furber et al.   PROCEEDINGS OF THE IEEE

A million spiking-neuron integrated circuit with a scalable communication network and interface

(2014) P. A. Merolla et al.   SCIENCE

Representational Power of Restricted Boltzmann Machines and Deep Belief Networks

(2008) Nicolas Le Roux et al.   NEURAL COMPUTATION