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20 Years of Computational Neuroscience / / edited by James M Bower
| 20 Years of Computational Neuroscience / / edited by James M Bower |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (294 p.) |
| Disciplina | 612.80285 |
| Altri autori (Persone) | BowerJames M |
| Collana | Springer Series in Computational Neuroscience |
| Soggetto topico |
Neurosciences
Neural networks (Computer science) Neuroscience Mathematical Models of Cognitive Processes and Neural Networks |
| ISBN | 1-4614-1424-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction: Origins and History of the Annual CNS meetings -- A Pictorial History of the Early Days of Computational Neuroscience: The CNS Meeting Posters -- History of Neural Simulation Software -- Learning from the past: Approaches for Reproducibility in Computational Neuroscience -- The Emergence of Community Models in Computational Neuroscience: The 40-year History of the Cerebellar Purkinje Cell -- Calcium: the Answer to Life, the Universe, and Everything -- The more we look, the more biological variation we see: How has and should this influence modeling of small networks? -- 20 years of “noise”: Contributions of computational neuroscience to the exploration of the effect of background activity on central neurons -- Still looking for the memories: molecules and synaptic plasticity -- 20 years of the dynamics of memory: The long and winding road linking cellular mechanisms to behavior -- Spatiotemporal coding in the olfactory system -- 20 years of learning about vision: Questions answered, questions unanswered, and questions not yet asked -- Reinforcement learning models then and now: from single cells to modern neuroimaging -- Index. |
| Record Nr. | UNINA-9910437621303321 |
| New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Deep Learning / / by M. Arif Wani, Farooq Ahmad Bhat, Saduf Afzal, Asif Iqbal Khan
| Advances in Deep Learning / / by M. Arif Wani, Farooq Ahmad Bhat, Saduf Afzal, Asif Iqbal Khan |
| Autore | Wani M. Arif |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIV, 149 p. 87 illus., 53 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Studies in Big Data |
| Soggetto topico |
Computational intelligence
Big data Neural networks (Computer science) Optical data processing Artificial intelligence Computational Intelligence Big Data Mathematical Models of Cognitive Processes and Neural Networks Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence |
| ISBN | 981-13-6794-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Introduction to Deep Learning -- Basic Deep Learning Models -- Training Basic Deep Learning Models -- Optimising Deep Learning Models -- Application of Deep Learning in Classification -- Application of Deep Learning in Segmentation -- Application of Deep Learning in Face Recognition -- Application of Deep Learning in Fingerprint Recognition -- Author's Index. |
| Record Nr. | UNINA-9910484248103321 |
Wani M. Arif
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Deep Learning, Volume 2 / / by M. Arif Wani, Bisma Sultan, Sarwat Ali, Mukhtar Ahmad Sofi
| Advances in Deep Learning, Volume 2 / / by M. Arif Wani, Bisma Sultan, Sarwat Ali, Mukhtar Ahmad Sofi |
| Autore | Wani M. Arif |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XVI, 186 p. 94 illus., 62 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Studies in Big Data |
| Soggetto topico |
Computational intelligence
Big data Neural networks (Computer science) Image processing - Digital techniques Computer vision Artificial intelligence Computational Intelligence Big Data Mathematical Models of Cognitive Processes and Neural Networks Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence |
| ISBN | 981-9634-98-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Deep Learning Architectures -- Evolutionary Algorithm-based Neural Architecture SearchEvolutionary Algorithm-based Neural Architecture Search -- Gradient-based Neural Architecture Search. |
| Record Nr. | UNINA-9911001462703321 |
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Wani M. Arif
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Hybridization of Intelligent Methods : Models, Systems and Applications / / edited by Ioannis Hatzilygeroudis, Vasile Palade
| Advances in Hybridization of Intelligent Methods : Models, Systems and Applications / / edited by Ioannis Hatzilygeroudis, Vasile Palade |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (IX, 147 p. 44 illus., 23 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Smart Innovation, Systems and Technologies |
| Soggetto topico |
Computational intelligence
Artificial intelligence Neural networks (Computer science) Signal processing Image processing Speech processing systems Computational Intelligence Artificial Intelligence Mathematical Models of Cognitive Processes and Neural Networks Signal, Image and Speech Processing |
| ISBN | 3-319-66790-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Deep Learning Approaches for Facial Emotion Recognition: A Case Study on FER-2013 -- Analysis of Biologically Inspired Swarm Communication Models -- Target-Dependent Sentiment Analysis of Tweets using Bi-directional Gated Recurrent Neural Networks -- Traffic Modelling, Visualisation and Prediction for Urban Mobility Management -- Assurance in Reinforcement Learning Using Quantitative Verification -- Distillation of Deep Learning Ensembles as a Regularisation method -- Heuristic Constraint Answer Set Programming for Manufacturing Problems. |
| Record Nr. | UNINA-9910299879203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Memristors, Memristive Devices and Systems / / edited by Sundarapandian Vaidyanathan, Christos Volos
| Advances in Memristors, Memristive Devices and Systems / / edited by Sundarapandian Vaidyanathan, Christos Volos |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XII, 511 p. 294 illus., 229 illus. in color.) |
| Disciplina | 621.384133 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Electronic circuits Electronics Microelectronics Neural networks (Computer science) Computational Intelligence Circuits and Systems Electronics and Microelectronics, Instrumentation Mathematical Models of Cognitive Processes and Neural Networks |
| ISBN | 3-319-51724-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1 Memristor Emulators A Note on Modeling -- Chapter 2 A Simple Oscillator using Memristor -- Chapter 3 A Hyperjerk Memristive System with Hidden Attractors -- Chapter 4 A Memristive System with Hidden Attractors and its Engineering Application -- Chapter 5 Adaptive Control, Synchronization and Circuit Simulation of a Memristor-Based -- Chapter 6 Modern System Design using Memristors -- Chapter 7 RF/Microwave Applications of Memristors -- Chapter 8 Theory, Modeling and Design of Memristor-Based Min-Max Circuits -- Chapter 9 Analysis of a 4-D Hyperchaotic Fractional-Order Memristive System with Hidden Attractors -- Chapter 10 Adaptive Control and Synchronization of a Memristor-Based Shinriki’s System. |
| Record Nr. | UNINA-9910254163203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Neural Computation, Machine Learning, and Cognitive Research IX : Selected Papers from the XXVII International Conference on Neuroinformatics, October 20-24, 2025, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, Valentin V. Klimov
| Advances in Neural Computation, Machine Learning, and Cognitive Research IX : Selected Papers from the XXVII International Conference on Neuroinformatics, October 20-24, 2025, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, Valentin V. Klimov |
| Autore | Kryzhanovsky Boris |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (1008 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
Dunin-BarkowskiWitali
RedkoVladimir TiumentsevYury KlimovValentin V |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Machine learning Neural networks (Computer science) Computational Intelligence Machine Learning Mathematical Models of Cognitive Processes and Neural Networks |
| ISBN | 3-032-07690-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Signal Processing by a Reservoir Network on Memristors -- Spiffy: Efficient Implementation of CoLaNET for Raspberry Pi -- Analysis of Variational Quantum Classifiers for Binary Classification using Quantum Simulators, etc. |
| Record Nr. | UNINA-9911047801103321 |
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Kryzhanovsky Boris
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Neural Computation, Machine Learning, and Cognitive Research VIII : Selected Papers from the XXVI International Conference on Neuroinformatics, October 21-25, 2024, Moscow, Russia / / edited by Vladimir Redko, Dmitry Yudin, Witali Dunin-Barkowski, Boris Kryzhanovsky, Yury Tiumentsev
| Advances in Neural Computation, Machine Learning, and Cognitive Research VIII : Selected Papers from the XXVI International Conference on Neuroinformatics, October 21-25, 2024, Moscow, Russia / / edited by Vladimir Redko, Dmitry Yudin, Witali Dunin-Barkowski, Boris Kryzhanovsky, Yury Tiumentsev |
| Autore | Redko Vladimir |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (764 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
YudinDmitry
Dunin-BarkowskiWitali KryzhanovskyBoris TiumentsevYury |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Machine learning Neural networks (Computer science) Computational Intelligence Machine Learning Mathematical Models of Cognitive Processes and Neural Networks |
| ISBN |
9783031804632
9783031804625 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910984585403321 |
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Redko Vladimir
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Neural Networks - ISNN 2017 [[electronic resource] ] : 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21–26, 2017, Proceedings, Part II / / edited by Fengyu Cong, Andrew Leung, Qinglai Wei
| Advances in Neural Networks - ISNN 2017 [[electronic resource] ] : 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21–26, 2017, Proceedings, Part II / / edited by Fengyu Cong, Andrew Leung, Qinglai Wei |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXII, 595 p. 251 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Pattern recognition systems
Artificial intelligence Computer science—Mathematics Neural networks (Computer science) Algorithms Data protection Automated Pattern Recognition Artificial Intelligence Mathematics of Computing Mathematical Models of Cognitive Processes and Neural Networks Data and Information Security |
| ISBN | 3-319-59081-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Clustering, Classification, Modeling, and Forecasting -- Cognition Computation and Neural Networks -- Intelligent Control -- Signal, Image and Video Processing -- Bio-Signal and Medical Image Analysis. . |
| Record Nr. | UNISA-996466209703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advances in Neural Networks - ISNN 2017 [[electronic resource] ] : 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21–26, 2017, Proceedings, Part I / / edited by Fengyu Cong, Andrew Leung, Qinglai Wei
| Advances in Neural Networks - ISNN 2017 [[electronic resource] ] : 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21–26, 2017, Proceedings, Part I / / edited by Fengyu Cong, Andrew Leung, Qinglai Wei |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXII, 583 p. 238 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Pattern recognition systems
Artificial intelligence Computer science—Mathematics Neural networks (Computer science) Algorithms Data protection Automated Pattern Recognition Artificial Intelligence Mathematics of Computing Mathematical Models of Cognitive Processes and Neural Networks Data and Information Security |
| ISBN | 3-319-59072-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Clustering, Classification, Modeling, and Forecasting -- Cognition Computation and Neural Networks -- Intelligent Control -- Signal, Image and Video Processing -- Bio-Signal and Medical Image Analysis. |
| Record Nr. | UNISA-996466210903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advances in Neural Networks - ISNN 2017 : 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21–26, 2017, Proceedings, Part I / / edited by Fengyu Cong, Andrew Leung, Qinglai Wei
| Advances in Neural Networks - ISNN 2017 : 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21–26, 2017, Proceedings, Part I / / edited by Fengyu Cong, Andrew Leung, Qinglai Wei |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXII, 583 p. 238 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Pattern recognition systems
Artificial intelligence Computer science - Mathematics Neural networks (Computer science) Algorithms Data protection Automated Pattern Recognition Artificial Intelligence Mathematics of Computing Mathematical Models of Cognitive Processes and Neural Networks Data and Information Security |
| ISBN |
9783319590721
3319590723 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Clustering, Classification, Modeling, and Forecasting -- Cognition Computation and Neural Networks -- Intelligent Control -- Signal, Image and Video Processing -- Bio-Signal and Medical Image Analysis. |
| Record Nr. | UNINA-9910484759103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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