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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 online resource (178 p.) |
| Soggetto topico |
Medicine and Nursing
Neurosciences |
| Soggetto non controllato |
affective computing
artefact removal attention and meditation attention monitoring bispectrum brain computer interface brain-computer interface (BCI) Brain-Computer Interface (BCI) classification consumer behavior daily life applications echo state network (ESN) EEG headsets EEG-based emotion detection electroencephalogram (EEG) electroencephalogram (EEG) biosensor electroencephalography (EEG) Electroencephalography (EEG) emotion emotion recognition facial nerve paralysis In-ear EEG independent component analysis (ICA) Individual Alpha Peak LASSO MEG movement artefact multimodal fusion NeuCube passive brain-computer interface (pBCI) regression spiking neural network Steady-State Visual Evoked Potential (SSVEP) stroke vigilance task |
| 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 online resource (206 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
AC coupling
ACE-Q100 area-efficient design artificial intelligence artificial neural networks asynchronous control logic capacitance-to-digital converter capacitive digital to analog converter (CDAC) closed-loop neurostimulator CMOS CMOS capacitive sensor interface CMOS neural amplifier dedicated short range communication (DSRC) digital controller digital temperature sensor EEPROM reprogrammable fuses electronic toll collection (ETC) system epilepsy feature extraction image classification implantable medical device integrated circuits iterative-delay-chain discharge leaky integrate and fire low power consumption low-noise amplifier low-power memory cells multichannel neural recording multiphase operation negative temperature coefficient neuromorphic nonlinear distortion piezoresistive power management power mode pressure sensor pseudoresistor reliability seizure sensor node spiking neural network successive approximation register (SAR) switched capacitor temperature compensation temperature sensor with digital serial interface trimming techniques with fuses variable frequency voltage converter wake-up receiver wide load range wireless access in vehicular environments (WAVE) wireless sensor networks |
| 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 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 |
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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 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 |
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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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