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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 |
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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