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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 |
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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Metrology and Physical Mechanisms in New Generation Ionic Devices : Doctoral Thesis accepted by the KU Leuven and IMEC, Belgium / Umberto Celano
| Metrology and Physical Mechanisms in New Generation Ionic Devices : Doctoral Thesis accepted by the KU Leuven and IMEC, Belgium / Umberto Celano |
| Autore | Celano, Umberto |
| Pubbl/distr/stampa | Cham, : Springer, 2016 |
| Descrizione fisica | xxiv, 175 p. : ill. ; 24 cm |
| Soggetto topico |
78-XX - Optics, electromagnetic theory [MSC 2020]
00A79 (77-XX) - Physics [MSC 2020] |
| Soggetto non controllato |
3D Metrology
AFM Tomography C-AFM Conductive Bridging Memory CBRAM Conductive Filaments Ionic Devices RRAM Resistive Switching Scalpel SPM |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0164428 |
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Celano, Umberto
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| Cham, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Metrology and Physical Mechanisms in New Generation Ionic Devices : Doctoral Thesis accepted by the KU Leuven and IMEC, Belgium / Umberto Celano
| Metrology and Physical Mechanisms in New Generation Ionic Devices : Doctoral Thesis accepted by the KU Leuven and IMEC, Belgium / Umberto Celano |
| Autore | Celano, Umberto |
| Pubbl/distr/stampa | Cham, : Springer, 2016 |
| Descrizione fisica | xxiv, 175 p. : ill. ; 24 cm |
| Soggetto topico |
00A79 (77-XX) - Physics [MSC 2020]
78-XX - Optics, electromagnetic theory [MSC 2020] |
| Soggetto non controllato |
3D Metrology
AFM Tomography C-AFM Conductive Bridging Memory CBRAM Conductive Filaments Ionic Devices RRAM Resistive Switching Scalpel SPM |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00164428 |
|
Celano, Umberto
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| Cham, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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