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Brain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications
| Brain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications |
| Autore | Lucchiari Claudio |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (178 p.) |
| Soggetto topico |
Medicine
Neurosciences |
| Soggetto non controllato |
consumer behavior
electroencephalogram (EEG) biosensor attention and meditation brain computer interface Brain-Computer Interface (BCI) Steady-State Visual Evoked Potential (SSVEP) artefact removal Individual Alpha Peak movement artefact Electroencephalography (EEG) classification emotion facial nerve paralysis LASSO MEG passive brain–computer interface (pBCI) EEG headsets daily life applications In-ear EEG echo state network (ESN) attention monitoring vigilance task brain-computer interface (BCI) electroencephalography (EEG) emotion recognition independent component analysis (ICA) regression stroke electroencephalogram (EEG) bispectrum multimodal fusion brain–computer interface (BCI) affective computing EEG-based emotion detection spiking neural network NeuCube |
| ISBN | 3-0365-5377-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Brain Computer Interfaces and Emotional Involvement |
| Record Nr. | UNINA-9910619472403321 |
Lucchiari Claudio
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Information Theory and Machine Learning
| Information Theory and Machine Learning |
| Autore | Zheng Lizhong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (254 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
supervised classification
independent and non-identically distributed features analytical error probability empirical risk generalization error K-means clustering model compression population risk rate distortion theory vector quantization overfitting information criteria entropy model-based clustering merging mixture components component overlap interpretability time series prediction finite state machines hidden Markov models recurrent neural networks reservoir computers long short-term memory deep neural network information theory local information geometry feature extraction spiking neural network meta-learning information theoretic learning minimum error entropy artificial general intelligence closed-loop transcription linear discriminative representation rate reduction minimax game fairness HGR maximal correlation independence criterion separation criterion pattern dictionary atypicality Lempel–Ziv algorithm lossless compression anomaly detection information-theoretic bounds distribution and federated learning |
| ISBN | 3-0365-5308-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619463403321 |
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Zheng Lizhong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Integrated Circuits and Systems for Smart Sensory Applications
| Integrated Circuits and Systems for Smart Sensory Applications |
| Autore | Serra-Graells Francesc |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (206 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
wake-up receiver
digital controller reliability electronic toll collection (ETC) system dedicated short range communication (DSRC) temperature compensation piezoresistive pressure sensor negative temperature coefficient ACE-Q100 CMOS epilepsy seizure multichannel neural recording feature extraction closed-loop neurostimulator low-power low-noise amplifier implantable medical device switched capacitor voltage converter wide load range multiphase operation variable frequency integrated circuits EEPROM reprogrammable fuses memory cells trimming techniques with fuses digital temperature sensor temperature sensor with digital serial interface asynchronous control logic successive approximation register (SAR) wireless access in vehicular environments (WAVE) low power consumption capacitive digital to analog converter (CDAC) CMOS neural amplifier AC coupling pseudoresistor nonlinear distortion area-efficient design sensor node power mode wireless sensor networks power management spiking neural network leaky integrate and fire neuromorphic artificial neural networks artificial intelligence image classification capacitance-to-digital converter iterative-delay-chain discharge CMOS capacitive sensor interface |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580214903321 |
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Serra-Graells Francesc
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Suñé Jordi
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Cho Seongjae
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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