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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 electronic resource (244 p.)
Soggetto non controllato graphene oxide
artificial neural network
simulation
neural networks
STDP
neuromorphics
spiking neural network
artificial intelligence
hierarchical temporal memory
synaptic weight
optimization
transistor-like devices
multiscale modeling
memristor crossbar
spike-timing-dependent plasticity
memristor-CMOS hybrid circuit
pavlov
wire resistance
AI
neocortex
synapse
character recognition
resistive switching
electronic synapses
defect-tolerant spatial pooling
emulator
compact model
deep learning networks
artificial synapse
circuit design
memristors
neuromorphic engineering
memristive devices
OxRAM
neural network hardware
sensory and hippocampal responses
neuromorphic hardware
boost-factor adjustment
RRAM
variability
Flash memories
neuromorphic
reinforcement learning
laser
memristor
hardware-based deep learning ICs
temporal pooling
self-organization maps
crossbar array
pattern recognition
strongly correlated oxides
vertical RRAM
autocovariance
neuromorphic computing
synaptic device
cortical neurons
time series modeling
spiking neural networks
neuromorphic systems
synaptic plasticity
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 electronic resource (81 p.)
Soggetto topico Technology: general issues
Energy industries & utilities
Soggetto non controllato leaky integrate-and-fire neuron
vanadium dioxide
neural network
pattern recognition
a-IGZO memristor
Schottky barrier tunneling
non filamentary resistive switching
gradual and abrupt modulation
bimodal distribution of effective Schottky barrier height
ionized oxygen vacancy
energy consumption
hardware-based neuromorphic system
synaptic device
Si processing compatibility
TCAD device simulation
benchmarking neuromorphic HW
neuromorphic platform
spiNNaker
spinMPI
MPI for neuromorphic HW
Boyer-Moore
DNA matching algorithm
flexible electronics
neuromorphic engineering
organic field-effect transistors
synaptic devices
short-term plasticity
neuromorphic system
on-chip learning
overlapping pattern issue
spiking neural network
3-D neuromorphic system
3-D stacked synapse array
charge-trap flash synapse
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 electronic resource (176 p.)
Collana Frontiers Research Topics
Soggetto non controllato neuromorphic engineering
learning feature extraction
high-density plasticity
memristive plasticity
synaptic plasticity
plasticity circuits
digital plasticity
plasticity for sensor data
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