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Memristors for Neuromorphic Circuits and Artificial Intelligence Applications
Memristors for Neuromorphic Circuits and Artificial Intelligence Applications
Autore Suñé Jordi
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (244 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato AI
artificial intelligence
artificial neural network
artificial synapse
autocovariance
boost-factor adjustment
character recognition
circuit design
compact model
cortical neurons
crossbar array
deep learning networks
defect-tolerant spatial pooling
electronic synapses
emulator
Flash memories
graphene oxide
hardware-based deep learning ICs
hierarchical temporal memory
laser
memristive devices
memristor
memristor crossbar
memristor-CMOS hybrid circuit
memristors
multiscale modeling
neocortex
neural network hardware
neural networks
neuromorphic
neuromorphic computing
neuromorphic engineering
neuromorphic hardware
neuromorphic systems
neuromorphics
optimization
OxRAM
pattern recognition
pavlov
reinforcement learning
resistive switching
RRAM
self-organization maps
sensory and hippocampal responses
simulation
spike-timing-dependent plasticity
spiking neural network
spiking neural networks
STDP
strongly correlated oxides
synapse
synaptic device
synaptic plasticity
synaptic weight
temporal pooling
time series modeling
transistor-like devices
variability
vertical RRAM
wire resistance
ISBN 3-03928-577-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910404090703321
Suñé Jordi  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Neuromorphic engineering systems and applications / / topic editors: André van Schaik, Tobi Delbruck and Jennifer Hasler
Neuromorphic engineering systems and applications / / topic editors: André van Schaik, Tobi Delbruck and Jennifer Hasler
Pubbl/distr/stampa Frontiers Media SA, 2015
Descrizione fisica 1 online resource (182 pages) : illustrations; digital file(s)
Collana Frontiers Research Topics
Frontiers in Neuroscience
Soggetto topico Neuromorphics
Computational neuroscience
Bioengineering
Mechanical Engineering
Engineering & Applied Sciences
Soggetto non controllato neuromorphic engineering
Learning
Floating gate
Neural Network
spike-based
event-based
simulation
dynamic vision sensor
network
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910688234803321
Frontiers Media SA, 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Semiconductor Memory Devices for Hardware-Driven Neuromorphic Systems
Semiconductor Memory Devices for Hardware-Driven Neuromorphic Systems
Autore Cho Seongjae
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (81 p.)
Soggetto topico Energy industries & utilities
Technology: general issues
Soggetto non controllato 3-D neuromorphic system
3-D stacked synapse array
a-IGZO memristor
benchmarking neuromorphic HW
bimodal distribution of effective Schottky barrier height
Boyer-Moore
charge-trap flash synapse
DNA matching algorithm
energy consumption
flexible electronics
gradual and abrupt modulation
hardware-based neuromorphic system
ionized oxygen vacancy
leaky integrate-and-fire neuron
MPI for neuromorphic HW
neural network
neuromorphic engineering
neuromorphic platform
neuromorphic system
non filamentary resistive switching
on-chip learning
organic field-effect transistors
overlapping pattern issue
pattern recognition
Schottky barrier tunneling
short-term plasticity
Si processing compatibility
spiking neural network
spinMPI
spiNNaker
synaptic device
synaptic devices
TCAD device simulation
vanadium dioxide
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557566603321
Cho Seongjae  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Synaptic Plasticity in Neuromorphic Systems
Synaptic Plasticity in Neuromorphic Systems
Autore Sadique Sheik
Pubbl/distr/stampa Frontiers Media SA, 2016
Descrizione fisica 1 online resource (176 p.)
Collana Frontiers Research Topics
Soggetto topico Neurosciences
Soggetto non controllato digital plasticity
high-density plasticity
learning feature extraction
memristive plasticity
neuromorphic engineering
plasticity circuits
plasticity for sensor data
synaptic plasticity
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910220055203321
Sadique Sheik  
Frontiers Media SA, 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui