Bayesian Estimation and Inference using Stochastic Hardware

Autor: Chetan Singh Thakur, Saeed eAfshar, Runchun Mark Wang, Tara Julia Hamilton, Jonathan eTapson, André evan Schaik

Publikováno v: Frontiers in Neuroscience, Vol 10 (2016)

In this paper, we present the implementation of two types of Bayesian inference problems to demonstrate the potential of building probabilistic algorithms in hardware using single set of building blocks with the ability to perform these computations

Externí odkaz: https://doaj.org/article/5d0f21d40b144ed7ad392349ba3d5ccf

A neuromorphic implementation of multiple spike-timing synaptic plasticity rules for large-scale neural networks

Autor: Runchun Mark Wang, Tara Julia Hamilton, Jonathan eTapson, André evan Schaik

Publikováno v: Frontiers in Neuroscience, Vol 9 (2015)

We present a neuromorphic implementation of multiple synaptic plasticity learning rules, which include both Spike Timing Dependent Plasticity (STDP) and Spike Timing Dependent Delay Plasticity (STDDP). We present a fully digital implementation as wel

Externí odkaz: https://doaj.org/article/0376f3db89c24d9c84e9ec38ed4915c4

The Ripple Pond: Enabling Spiking Networks to See

Autor: Saeed eAfshar, Greg Kevin Cohen, Runchun Mark Wang, André evan Schaik, Jonathan eTapson, Torsten eLehmann, Tara Julia Hamilton

Publikováno v: Frontiers in Neuroscience, Vol 7 (2013)

We present the biologically inspired Ripple Pond Network (RPN), a simply connected spiking neural network which performs a transformation converting two dimensional images to one dimensional temporal patterns suitable for recognition by temporal codi

Externí odkaz: https://doaj.org/article/32b0c084bd2c4db6b9f062403cbf1d90

Lessons Learned the Hard Way

Autor: Eric Fossum, Germain Haessig, Jose de la Rosa, Ian Williams, Timothy G. Constandinou, Piotr Dudek, Bo Wang, Luis A. Camunas-Mesa, J. Camilo Vasquez Tieck, Alexander Serb, Vincent Frick, Advait Madhavan, Shih-Chii Liu, Paula Lopez, Shahzad Muzaffar, Tobi Delbruck, Yan Liu, Bathiya Senevirathna, Ibrahim M. Elfadel, Saeed Afshar, Stephen J. Carey, Walter D. Leon-Salas, Melika Payvand, Runchun Mark Wang, Bernabe Linares-Barranco, Pamela Abshire, Rui Graca, Ricardo Carmona-Galan, Marc Dandin, Robert A. Nawrocki, Teresa Serrano-Gotarredona, Sheung Lu, Amine Bermak

Publikováno v: 2020 IEEE International Symposium on Circuits and Systems (ISCAS)
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 10-21 octobre 2020, Séville, Espagne
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 10-21 octobre 2020, Séville, Espagne, Oct 2021, Séville, Spain. ⟨10.1109/ISCAS45731.2020.9180983⟩
ISCAS

“Fail often to succeed sooner” is a common mantra that we are told is the secret to success. When reporting research results, however, scholars rarely write about their failed attempts and only focus on the successful ones. Perhaps the source of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99850b196fa6c3435ea5a6795759a1e9
https://hal.science/hal-03245651

A mixed-signal implementation of a polychronous spiking neural network with delay adaptation

Autor: Jonathan Tapson, Tara Julia Hamilton, André van Schaik, Runchun Mark Wang

Publikováno v: Frontiers in Neuroscience, Vol 8 (2014)
Frontiers in Neuroscience

We present a mixed-signal implementation of a re-configurable polychronous spiking neural network capable of storing and recalling spatio-temporal patterns. The proposed neural network contains one neuron array and one axon array. Spike Timing Depend

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4411420e5a581564c3c06a43e6e4a7f
http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00051/full