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Bio-inspired Audio Processing, Models and Systems
| Bio-inspired Audio Processing, Models and Systems |
| Autore | Liu Shih-Chii |
| Pubbl/distr/stampa | Frontiers Media SA, 2019 |
| Descrizione fisica | 1 electronic resource (200 p.) |
| Soggetto topico |
Science: general issues
Neurosciences |
| Soggetto non controllato |
bio-inspired
spikes Attention Sound Audio Neuromorphic Echolocation deep neural networks |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557568803321 |
Liu Shih-Chii
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| Frontiers Media SA, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Molecular Computing and Bioinformatics
| Molecular Computing and Bioinformatics |
| Autore | Zeng Xiangxiang |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (390 p.) |
| Soggetto non controllato |
systems biology
join graph hierarchical support vector regression transcription factor brain storm optimization heterogeneous information network embedding structural patterns gene fusion data Panax ginseng flowering plant geometric arithmetic index interspecies transmission iron-depleted drug discovery protein protein targeting recursively enumerable function Mycoplasma hominis environmental factor Alzheimer’s disease absorption angiogenesis classification self-organizing systems enzymatic numerical P system excretion atom-bond connectivity index molecular learning DNA coding phylogeny bone formation DCL1 line graph pseudo dinucleotide composition load balancing K2 efflux ratio osteogenesis distribution NanoString Technologies RAST server 8-bit adder/subtractor gene networks dihydrouridine structure information Cartesian product graph domain label stacking denoising auto-encoder DNA computing Stenotrophomonas maltophilia pattern classification stress causal direction learning machine learning adverse drug reaction prediction membrane computing support vector machine Brassica napus miRNA biogenesis identification of Chinese herbal medicines bio-inspired toxicity protein transduction domain RNA sequence information multiple interaction networks in silico protein complex drug low-dimensional representation gene coding protein amino acid mutation Bayesian causal model edge detection big data function prediction parallel computing resolution free Hamming distance cascade oligopeptide transporter DNA barcoding technology DNA strand displacement protein–protein interaction (PPI) biomedical text mining bioinformatics metabolism hypoxia-inducible factor-1? nucleotide physicochemical property Turing universality diabetes mellitus chaotic map multinetwork integration bacterial computing lignification penalized matrix decomposition ensemble classifier bacteria and plasmid system similarity network RNA secondary structure avian influenza virus evaluating driver partner image encryption siderophores meta-path-based proximity P-glycoprotein Tianhe-2 prostate cancer iron acquisition systems biochip technology gene susceptibility prioritization laccase DNA molecular computing microRNA clustering drug-target interaction prediction endoplasmic reticulum |
| ISBN | 3-03921-196-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346836303321 |
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Zeng Xiangxiang
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Neural Microelectrodes: Design and Applications
| Neural Microelectrodes: Design and Applications |
| Autore | Pancrazio Joseph |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (378 p.) |
| Soggetto non controllato |
closed-loop
in vivo imaging education thermoresistance neural probe electroless plating neural stimulation and recording peripheral nerve stimulation shape-memory-polymer artifact sensor interface magnetic coupling neuroprosthetics intracortical implant µECoG neural interfaces implantable electrochemistry shape memory polymer neuroscience micromachine microelectromechanical systems stiffness Parylene C intracranial electrodes chronic implantation neural interfacing microelectrodes multiplexing microstimulators freely-behaving windowed integration sampling system-on-chip brain-machine interfaces insertion force microelectrode array vagus nerve diversity micro-electromechanical systems (MEMS) technologies mixed-signal feedback temperature monitoring foreign body reaction peripheral nerves brain-computer interface multi-disciplinary neurotechnology photolithography micro-electrocorticography robust microelectrode conscious recording electrode array dopamine softening sciatic nerve bio-inspired neural prostheses neuroscientific research bidirectional LED chip microfluidic device electrode-tissue interface impedance intracortical silicon carbide three-dimensional bias micro-electromechanical systems (MEMS) silicon neural probes electrode degradation chronic microelectrode biocompatibility optogenetics fast-scan cyclic voltammetry (FSCV) glial encapsulation deep brain stimulation electrocorticography electrophysiology fast scan cyclic voltammetry precision medicine microfabrication BRAIN Initiative polymer magnetic resonance imaging polymer nanocomposite liquid crystal elastomer silicon probe training tissue response graphene electrode glassy carbon electrode immune response electrode implantation dextran immunohistochemistry neural interface response amorphous silicon carbide Utah electrode arrays neural amplifier neural electrode array neuromodulation in vivo electrophysiology neuronal recordings neural recording ECoG gene modification neural interface wireless enteric nervous system cellulose nanocrystals |
| ISBN | 3-03921-320-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Neural Microelectrodes |
| Record Nr. | UNINA-9910367568503321 |
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Pancrazio Joseph
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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