|
An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
|
journal
|
January 2004 |
|
“Neural” computation of decisions in optimization problems
|
journal
|
July 1985 |
|
The Ornstein-Uhlenbeck process as a model for neuronal activity
|
journal
|
March 1979 |
|
Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System
|
journal
|
July 2020 |
|
Assessing the Impact of Electrostatic Drag on Processive Molecular Motor Transport
|
journal
|
June 2018 |
|
Neuromorphic vision sensors
|
journal
|
August 1996 |
|
Spiking signal processing: Principle and applications in control system
|
journal
|
September 2018 |
|
Hybrid impulsive and switching Hopfield neural networks with state-dependent impulses
|
journal
|
September 2017 |
|
A stochastic differential equation SIS epidemic model incorporating Ornstein–Uhlenbeck process
|
journal
|
November 2018 |
|
Effectiveness of the measures to flatten the epidemic curve of COVID-19. The case of Spain
|
journal
|
July 2020 |
|
Centrality and network flow
|
journal
|
January 2005 |
|
A Graph-theoretic perspective on centrality
|
journal
|
October 2006 |
|
Stability, robust stabilization and control of singular-impulsive systems via switching control
|
journal
|
November 2006 |
|
Self-Powered Tactile Sensor with Learning and Memory
|
journal
|
November 2019 |
|
An event-based architecture for solving constraint satisfaction problems
|
journal
|
December 2015 |
|
An electronic neuromorphic system for real-time detection of high frequency oscillations (HFO) in intracranial EEG
|
journal
|
May 2021 |
|
Neuromorphic scaling advantages for energy-efficient random walk computations
|
journal
|
February 2022 |
|
Benchmarks for progress in neuromorphic computing
|
journal
|
September 2019 |
|
Neural networks and physical systems with emergent collective computational abilities.
|
journal
|
April 1982 |
|
LiDAR-driven spiking neural network for collision avoidance in autonomous driving
|
journal
|
October 2021 |
|
Comparing Loihi with a SpiNNaker 2 prototype on low-latency keyword spotting and adaptive robotic control
|
journal
|
July 2021 |
|
Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling
|
conference
|
November 2021 |
|
Spiking Neural Streaming Binary Arithmetic
|
conference
|
November 2021 |
|
Taking the Human Out of the Loop: A Review of Bayesian Optimization
|
journal
|
January 2016 |
|
Self-Learning Optimal Regulation for Discrete-Time Nonlinear Systems Under Event-Driven Formulation
|
journal
|
March 2020 |
|
Continuous-Time Distributed Policy Iteration for Multicontroller Nonlinear Systems
|
journal
|
May 2021 |
|
A Binaural Neuromorphic Auditory Sensor for FPGA: A Spike Signal Processing Approach
|
journal
|
April 2017 |
|
Neuroadaptive Fault-Tolerant Control of Nonlinear Systems Under Output Constraints and Actuation Faults
|
journal
|
February 2018 |
|
Optimal Impulsive Control Using Adaptive Dynamic Programming and its Application in Spacecraft Rendezvous
|
journal
|
October 2021 |
|
Spiking Adaptive Dynamic Programming Based on Poisson Process for Discrete-Time Nonlinear Systems
|
journal
|
May 2022 |
|
Analog Signal Processing Using Stochastic Magnets
|
journal
|
January 2021 |
|
Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook
|
journal
|
May 2021 |
|
TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years
|
journal
|
May 2019 |
|
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
|
journal
|
January 2018 |
|
Regulation of Non-Minimum-Phase Nonlinear Systems Using Slow Integrators and High-Gain Feedback
|
journal
|
January 2018 |
|
Reinforcement Learning-Based Adaptive Optimal Exponential Tracking Control of Linear Systems With Unknown Dynamics
|
journal
|
November 2019 |
|
Robust ADP Design for Continuous-Time Nonlinear Systems With Output Constraints
|
journal
|
June 2018 |
|
Optimal Elevator Group Control via Deep Asynchronous Actor–Critic Learning
|
journal
|
December 2020 |
|
Option Pricing in Stochastic Volatility Models of the Ornstein-Uhlenbeck type
|
journal
|
October 2003 |
|
Regression Shrinkage and Selection Via the Lasso
|
journal
|
January 1996 |
|
A million spiking-neuron integrated circuit with a scalable communication network and interface
|
journal
|
August 2014 |
|
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
|
journal
|
January 2009 |
|
Sparse Approximate Solutions to Linear Systems
|
journal
|
April 1995 |
|
MapReduce: simplified data processing on large clusters
|
journal
|
January 2008 |
Sparse Hardware Embedding of Spiking Neuron Systems for Community Detection
- Hamilton, Kathleen E.; Imam, Neena; Humble, Travis S.
-
ACM Journal on Emerging Technologies in Computing Systems, Vol. 14, Issue 4
https://doi.org/10.1145/3223048
|
journal
|
December 2018 |
|
Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware
|
conference
|
January 2019 |
NxTF: An API and Compiler for Deep Spiking Neural Networks on Intel Loihi
- Rueckauer, Bodo; Bybee, Connor; Goettsche, Ralf
-
ACM Journal on Emerging Technologies in Computing Systems, Vol. 18, Issue 3
https://doi.org/10.1145/3501770
|
journal
|
July 2022 |
|
Sparse Coding via Thresholding and Local Competition in Neural Circuits
|
journal
|
October 2008 |
|
STICK: Spike Time Interval Computational Kernel, a Framework for General Purpose Computation Using Neurons, Precise Timing, Delays, and Synchrony
|
journal
|
November 2015 |
|
Least angle regression
|
journal
|
April 2004 |
|
Stochastic Computations in Cortical Microcircuit Models
|
journal
|
November 2013 |
|
Nengo and Low-Power AI Hardware for Robust, Embedded Neurorobotics
|
journal
|
October 2020 |
|
Spiking Neural Network for Fourier Transform and Object Detection for Automotive Radar
|
journal
|
June 2021 |
|
Nengo: a Python tool for building large-scale functional brain models
|
journal
|
January 2014 |
|
A Review of Current Neuromorphic Approaches for Vision, Auditory, and Olfactory Sensors
|
journal
|
March 2016 |
|
Solving Constraint Satisfaction Problems with Networks of Spiking Neurons
|
journal
|
March 2016 |
|
Using Stochastic Spiking Neural Networks on SpiNNaker to Solve Constraint Satisfaction Problems
|
journal
|
December 2017 |
|
Bayesian Multi-objective Hyperparameter Optimization for Accurate, Fast, and Efficient Neural Network Accelerator Design
|
journal
|
July 2020 |
|
Automotive Radar Processing With Spiking Neural Networks: Concepts and Challenges
|
journal
|
April 2022 |