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A New Stochastic Computing Methodology for Efficient Neural Network Implementation

IEEE transaction on neural networks and learning systems, 2016-03, Vol.27 (3), p.551-564

2016

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Fully Parallel Stochastic Computing Hardware Implementation of Convolutional Neural Networks for Edge Computing Applications

IEEE transaction on neural networks and learning systems, 2023-12, Vol.34 (12), p.10408-10418

2023

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From Multipliers to Integrators: A Survey of Stochastic Computing Primitives

IEEE transactions on nanotechnology, 2024, Vol.23, p.238-249

2024

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Ultra-fast data-mining hardware architecture based on stochastic computing

PloS one, 2015-05, Vol.10 (5), p.e0124176-e0124176

2015

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Highly Optimized Hardware Morphological Neural Network Through Stochastic Computing and Tropical Pruning

IEEE journal on emerging and selected topics in circuits and systems, 2023-03, Vol.13 (1), p.249-256

2023

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A Noniterative Supervised On-Chip Training Circuitry for Reservoir Computing Systems

IEEE transaction on neural networks and learning systems, 2024-03, Vol.35 (3), p.1-13

2024

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Stochastic-based pattern-recognition analysis

Pattern recognition letters, 2010-11, Vol.31 (15), p.2353-2356

2010

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Energy-Efficient Pattern Recognition Hardware With Elementary Cellular Automata

IEEE transactions on computers, 2020-03, Vol.69 (3), p.392-401

2020

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Chaos-based mixed signal implementation of spiking neurons

International journal of neural systems, 2009-12, Vol.19 (6), p.465-471

2009

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Tropical Reservoir Computing Hardware

IEEE transactions on circuits and systems. II, Express briefs, 2020-11, Vol.67 (11), p.2712-2716

2020

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FPGA-Based Stochastic Echo State Networks for Time-Series Forecasting

Computational Intelligence and Neuroscience, 2016-01, Vol.2016 (2016), p.775-788-065

2016

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0.65 V integrable electronic realisation of integer- and fractional-order Hindmarsh–Rose neuron model using companding technique

IET circuits, devices & systems, 2018-11, Vol.12 (6), p.696-706

2018

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Hardware-Optimized Reservoir Computing System for Edge Intelligence Applications

Cognitive computation, 2023-09, Vol.15 (5), p.1461-1469

2023

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Studying the role of synchronized and chaotic spiking neural ensembles in neural information processing

International journal of neural systems, 2014-08, Vol.24 (5), p.1430003

2014

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Compact Hardware Synthesis of Stochastic Spiking Neural Networks

International journal of neural systems, 2019-10, Vol.29 (8), p.1950004

2019

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Optimizing Artificial Neural Networks to Minimize Arithmetic Errors in Stochastic Computing Implementations

Electronics (Basel), 2024-07, Vol.13 (14), p.2846

2024

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Efficient parallel implementation of reservoir computing systems

Neural computing & applications, 2020-04, Vol.32 (7), p.2299-2313

2020

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A Bayesian Target Predictor Method based on Molecular Pairing Energies estimation

Scientific reports, 2017-03, Vol.7 (1), p.43738-43738, Article 43738

2017

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Optimal Stochastic Computing Randomization

Electronics (Basel), 2021-12, Vol.10 (23), p.2985

2021

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A surface site interaction point methodology for macromolecules and huge molecular databases

Journal of computational chemistry, 2017-03, Vol.38 (7), p.419-426

2017

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High-Density Liquid-State Machine Circuitry for Time-Series Forecasting

International journal of neural systems, 2016-08, Vol.26 (5), p.1550036

2016

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Hardware implementation of stochastic spiking neural networks

International journal of neural systems, 2012-08, Vol.22 (4), p.1250014

2012

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Using Stochastic Computing for Virtual Screening Acceleration

Electronics (Basel), 2021-12, Vol.10 (23), p.2981

2021

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SoC Kohonen Maps Based on Stochastic Computing

2020 International Joint Conference on Neural Networks (IJCNN), 2020, p.1-7

2020

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Morphological Reservoir Computing Hardware

2019 29th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS), 2019, p.141-144

2019

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A New Stochastic Computing Methodology for Efficient Neural Network Implementation

Fully Parallel Stochastic Computing Hardware Implementation of Convolutional Neural Networks for Edge Computing Applications

From Multipliers to Integrators: A Survey of Stochastic Computing Primitives

Ultra-fast data-mining hardware architecture based on stochastic computing

Highly Optimized Hardware Morphological Neural Network Through Stochastic Computing and Tropical Pruning

A Noniterative Supervised On-Chip Training Circuitry for Reservoir Computing Systems

Stochastic-based pattern-recognition analysis

Energy-Efficient Pattern Recognition Hardware With Elementary Cellular Automata

Chaos-based mixed signal implementation of spiking neurons

Tropical Reservoir Computing Hardware

FPGA-Based Stochastic Echo State Networks for Time-Series Forecasting

0.65 V integrable electronic realisation of integer- and fractional-order Hindmarsh–Rose neuron model using companding technique

Hardware-Optimized Reservoir Computing System for Edge Intelligence Applications

Studying the role of synchronized and chaotic spiking neural ensembles in neural information processing

Compact Hardware Synthesis of Stochastic Spiking Neural Networks

Optimizing Artificial Neural Networks to Minimize Arithmetic Errors in Stochastic Computing Implementations

Efficient parallel implementation of reservoir computing systems

A Bayesian Target Predictor Method based on Molecular Pairing Energies estimation

Optimal Stochastic Computing Randomization

A surface site interaction point methodology for macromolecules and huge molecular databases

High-Density Liquid-State Machine Circuitry for Time-Series Forecasting

Hardware implementation of stochastic spiking neural networks

Using Stochastic Computing for Virtual Screening Acceleration

SoC Kohonen Maps Based on Stochastic Computing

Morphological Reservoir Computing Hardware

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