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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 |
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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