Cargando…

Closed-Loop Neuromorphic Benchmarks

Evaluating the effectiveness and performance of neuromorphic hardware is difficult. It is even more difficult when the task of interest is a closed-loop task; that is, a task where the output from the neuromorphic hardware affects some environment, which then in turn affects the hardware's futu...

Descripción completa

Detalles Bibliográficos
Autores principales:	Stewart, Terrence C., DeWolf, Travis, Kleinhans, Ashley, Eliasmith, Chris
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2015
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4678234/ https://www.ncbi.nlm.nih.gov/pubmed/26696820 http://dx.doi.org/10.3389/fnins.2015.00464

Ejemplares similares

Benchmarking neuromorphic systems with Nengo
por: Bekolay, Trevor, et al.
Publicado: (2015)

Neuromorphic Engineering Needs Closed-Loop Benchmarks
por: Milde, Moritz B., et al.
Publicado: (2022)

Serendipitous Offline Learning in a Neuromorphic Robot
por: Stewart, Terrence C., et al.
Publicado: (2016)

Nengo and Low-Power AI Hardware for Robust, Embedded Neurorobotics
por: DeWolf, Travis, et al.
Publicado: (2020)

Nengo: a Python tool for building large-scale functional brain models
por: Bekolay, Trevor, et al.
Publicado: (2014)

Retraction: Benchmarking Neuromorphic Systems with Nengo
Publicado: (2015)

Benchmarking Neuromorphic Hardware and Its Energy Expenditure
por: Ostrau, Christoph, et al.
Publicado: (2022)

Approaching the mapping limit with closed-loop mapping strategy for deploying neural networks on neuromorphic hardware
por: Wang, Song, et al.
Publicado: (2023)

Benchmarking neuromorphic vision: lessons learnt from computer vision
por: Tan, Cheston, et al.
Publicado: (2015)

Binary Associative Memories as a Benchmark for Spiking Neuromorphic Hardware
por: Stöckel, Andreas, et al.
Publicado: (2017)

Python Scripting in the Nengo Simulator
por: Stewart, Terrence C., et al.
Publicado: (2009)

Learning to Select Actions with Spiking Neurons in the Basal Ganglia
por: Stewart, Terrence C., et al.
Publicado: (2012)

Braille letter reading: A benchmark for spatio-temporal pattern recognition on neuromorphic hardware
por: Müller-Cleve, Simon F., et al.
Publicado: (2022)

Spike encoding techniques for IoT time-varying signals benchmarked on a neuromorphic classification task
por: Forno, Evelina, et al.
Publicado: (2022)

Inhibiting Basal Ganglia Regions Reduces Syllable Sequencing Errors in Parkinson's Disease: A Computer Simulation Study
por: Senft, Valentin, et al.
Publicado: (2018)

Is Neuromorphic MNIST Neuromorphic? Analyzing the Discriminative Power of Neuromorphic Datasets in the Time Domain
por: Iyer, Laxmi R., et al.
Publicado: (2021)

Hand-Gesture Recognition Based on EMG and Event-Based Camera Sensor Fusion: A Benchmark in Neuromorphic Computing
por: Ceolini, Enea, et al.
Publicado: (2020)

Editorial: Powering the next-generation IoT applications: new tools and emerging technologies for the development of Neuromorphic System of Systems
por: Urgese, Gianvito, et al.
Publicado: (2023)

A Benchmark Environment for Neuromorphic Stereo Vision
por: Steffen, L., et al.
Publicado: (2021)

Modeling Interactions between Speech Production and Perception: Speech Error Detection at Semantic and Phonological Levels and the Inner Speech Loop
por: Kröger, Bernd J., et al.
Publicado: (2016)

Markov Chain Abstractions of Electrochemical Reaction-Diffusion in Synaptic Transmission for Neuromorphic Computing
por: Wagner, Margot, et al.
Publicado: (2021)

Autonomous Flying With Neuromorphic Sensing
por: Parlevliet, Patricia P., et al.
Publicado: (2021)

Frontiers in Neuromorphic Engineering
por: Indiveri, Giacomo, et al.
Publicado: (2011)

Comparing Neuromorphic Solutions in Action: Implementing a Bio-Inspired Solution to a Benchmark Classification Task on Three Parallel-Computing Platforms
por: Diamond, Alan, et al.
Publicado: (2016)

Closed-loop neuroscience and neuroengineering
por: Potter, Steve M., et al.
Publicado: (2014)

Research topic: neuromorphic engineering systems and applications. A snapshot of neuromorphic systems engineering
por: Delbruck, Tobi, et al.
Publicado: (2014)

Neuromorphic-P(2)M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors
por: Kaiser, Md Abdullah-Al, et al.
Publicado: (2023)

Toward a neuromorphic microphone
por: Smith, Leslie S.
Publicado: (2015)

Neuromorphic Silicon Neuron Circuits
por: Indiveri, Giacomo, et al.
Publicado: (2011)

Neuromorphic Hardware Learns to Learn
por: Bohnstingl, Thomas, et al.
Publicado: (2019)

Neuromorphic artificial intelligence systems
por: Ivanov, Dmitry, et al.
Publicado: (2022)

Editorial: Neuromorphic engineering for robotics
por: Bing, Zhenshan, et al.
Publicado: (2023)

A Unifying Mechanistic Model of Selective Attention in Spiking Neurons
por: Bobier, Bruce, et al.
Publicado: (2014)

Benchmarking the impact of information processing in the insect olfactory system with a spiking neuromorphic classifier
por: Schmuker, Michael, et al.
Publicado: (2011)

Closed-Loop, Open-Source Electrophysiology
por: Rolston, John D., et al.
Publicado: (2010)

Closing the Loop Between Neurons and Neurotechnology
por: Potter, Steve M.
Publicado: (2010)

Closing the loop of deep brain stimulation
por: Carron, Romain, et al.
Publicado: (2013)

A Closed-Loop Optogenetic Platform
por: Firfilionis, Dimitrios, et al.
Publicado: (2021)

Closed Loop Experiment Manager (CLEM)—An Open and Inexpensive Solution for Multichannel Electrophysiological Recordings and Closed Loop Experiments
por: Hazan, Hananel, et al.
Publicado: (2017)

Editorial: Synaptic Plasticity for Neuromorphic Systems
por: Mayr, Christian G., et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_gfpkcee1tsdta2qhmfqsnkov2m