Papers Neural Network simulation
“Neural Network simulation” 태그가 달린 논문 21편 · 필터 해제
Ultrasound Phase Aberrated Point Spread Function Estimation with Convolutional Neural Network: Simulation Study
Ultrasound imaging systems rely on accurate point spread function (PSF) estimation to support advanced image quality enhancement techniques such as deconvolution and speckle reduction. Phase aberration, caused by sound s…
Neural Network simulationFast Algorithms for Spiking Neural Network Simulation with FPGAs
Using OpenCL-based high-level synthesis, we create a number of spiking neural network (SNN) simulators for the Potjans-Diesmann cortical microcircuit for a high-end Field-Programmable Gate Array (FPGA). Our best simulato…
GPUHigh-Level SynthesisNeural Network simulationASV Station Keeping under Wind Disturbances using Neural Network Simulation Error Minimization Model Predictive Control
Station keeping is an essential maneuver for Autonomous Surface Vehicles (ASVs), mainly when used in confined spaces, to carry out surveys that require the ASV to keep its position or in collaboration with other vehicles…
Model Predictive ControlNeural Network simulationPositionParallel Neural Networks in Golang
This paper describes the design and implementation of parallel neural networks (PNNs) with the novel programming language Golang. We follow in our approach the classical Single-Program Multiple-Data (SPMD) model where a …
Neural Network simulationDistributed Compressed Sparse Row Format for Spiking Neural Network Simulation, Serialization, and Interoperability
With the increasing development of neuromorphic platforms and their related software tools as well as the increasing scale of spiking neural network (SNN) models, there is a pressure for interoperable and scalable repres…
graph partitioningNeural Network simulationApplication of machine learning regression models to inverse eigenvalue problems
In this work, we study the numerical solution of inverse eigenvalue problems from a machine learning perspective. Two different problems are considered: the inverse Strum-Liouville eigenvalue problem for symmetric potent…
Neural Network simulationregressionToward Neural Network Simulation of Variational Quantum Algorithms
Variational quantum algorithms (VQAs) utilize a hybrid quantum-classical architecture to recast problems of high-dimensional linear algebra as ones of stochastic optimization. Despite the promise of leveraging near- to i…
Neural Network simulationStochastic OptimizationVariational Monte CarloBenchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials
Artificial electromagnetic materials (AEMs), including metamaterials, derive their electromagnetic properties from geometry rather than chemistry. With the appropriate geometric design, AEMs have achieved exotic properti…
BenchmarkingNeural Network simulationPhysics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training
Physics-informed neural networks (PINNs) have received significant attention as a unified framework for forward, inverse, and surrogate modeling of problems governed by partial differential equations (PDEs). Training PIN…
Neural Network simulationEDEN: A high-performance, general-purpose, NeuroML-based neural simulator
Modern neuroscience employs in silico experimentation on ever-increasing and more detailed neural networks. The high modelling detail goes hand in hand with the need for high model reproducibility, reusability and transp…
Code GenerationNeural Network simulationVocal Bursts Intensity PredictionNeuromorphic Computing with Ferroelectric FinFETs in the Presence of Temperature, Process Variation, Device Aging and Flicker Noise
This paper reports a comprehensive study on the impacts of temperature-change, process variation, flicker noise and device aging on the inference accuracy of pre-trained all-ferroelectric (FE) FinFET deep neural networks…
Neural Network simulationReconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning
Recently, the reconfigurable intelligent surface (RIS), benefited from the breakthrough on the fabrication of programmable meta-material, has been speculated as one of the key enabling technologies for the future six gen…
Deep Reinforcement LearningNeural Network simulationreinforcement-learningReinforcement Learning+1Policy Gradient Search: Online Planning and Expert Iteration without Search Trees
Monte Carlo Tree Search (MCTS) algorithms perform simulation-based search to improve policies online. During search, the simulation policy is adapted to explore the most promising lines of play. MCTS has been used by sta…
Neural Network simulationArbor -- a morphologically-detailed neural network simulation library for contemporary high-performance computing architectures
We introduce Arbor, a performance portable library for simulation of large networks of multi-compartment neurons on HPC systems. Arbor is open source software, developed under the auspices of the HBP. The performance por…
GPUNeural Network simulationTime-Sequence Channel Inference for Beam Alignment in Vehicular Networks
In this paper, we propose a learning-based low-overhead beam alignment method for vehicle-to-infrastructure communication in vehicular networks. The main idea is to remotely infer the optimal beam directions at a target …
Neural Network simulationNeural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators
Recently, RRAM-based Binary Neural Network (BNN) hardware has been gaining interests as it requires 1-bit sense-amp only and eliminates the need for high-resolution ADC and DAC. However, RRAM-based BNN hardware still req…
Neural Network simulationBindsNET: A machine learning-oriented spiking neural networks library in Python
The development of spiking neural network simulation software is a critical component enabling the modeling of neural systems and the development of biologically inspired algorithms. Existing software frameworks support …
BIG-bench Machine LearningCPUGPUNeural Network simulation+4Gaussian and exponential lateral connectivity on distributed spiking neural network simulation
We measured the impact of long-range exponentially decaying intra-areal lateral connectivity on the scaling and memory occupation of a distributed spiking neural network simulator compared to that of short-range Gaussian…
Neural Network simulationAn Implementation of Back-Propagation Learning on GF11, a Large SIMD Parallel Computer
Current connectionist simulations require huge computational resources. We describe a neural network simulator for the IBM GF11, an experimental SIMD machine with 566 processors and a peak arithmetic performance of 11 Gi…
Neural Network simulationtext-to-speechText to SpeechContinual One-Shot Learning of Hidden Spike-Patterns with Neural Network Simulation Expansion and STDP Convergence Predictions
This paper presents a constructive algorithm that achieves successful one-shot learning of hidden spike-patterns in a competitive detection task. It has previously been shown (Masquelier et al., 2008) that spike-timing-d…
Continual LearningNeural Network simulationOne-Shot Learning