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1.: Mathematical neuroscience / Alla Borisyuk ... [et al.]
| 1.: Mathematical neuroscience / Alla Borisyuk ... [et al.] |
| Pubbl/distr/stampa | Berlin, : Springer, 2005 |
| Descrizione fisica | IX, 170 p. ; 24 cm |
| Soggetto topico |
34C23 - Bifurcation theory for ordinary differential equation [MSC 2020]
37N25 - Dynamical systems in biology [MSC 2020] 92C20 - Neural biology [MSC 2020] 92C37 - Cell biology [MSC 2020] 35K57 - Reaction-diffusion equations [MSC 2020] 34C25 - Periodic solutions to ordinary differential equation [MSC 2020] 35Qxx - Partial differential equations of mathematical physics and other areas of application [MSC 2020] 34C15 - Nonlinear oscillations and coupled oscillators for ordinary differential equation [MSC 2020] 34C10 - Oscillation theory, zeros, disconjugacy and comparison theory for ordinary differential equation [MSC 2020] 34C37 - Homoclinic and heteroclinic solutions to ordinary differential equation [MSC 2020] 34C55 - Hysteresis for ordinary differential equation [MSC 2020] |
| Soggetto non controllato |
Anatomy
Auditory system Computational Neurosciences Cortex Dynamical systems Neural oscillations Neuronal Dynamics Neurons Ordinary differential equations Partial differential equations Physiology |
| ISBN | 978-35-403-1544-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0061442 |
| Berlin, : Springer, 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
1.: Mathematical neuroscience / Alla Borisyuk ... [et al.]
| 1.: Mathematical neuroscience / Alla Borisyuk ... [et al.] |
| Pubbl/distr/stampa | Berlin, : Springer, 2005 |
| Descrizione fisica | IX, 170 p. ; 24 cm |
| Soggetto topico |
34C10 - Oscillation theory, zeros, disconjugacy and comparison theory for ordinary differential equation [MSC 2020]
34C15 - Nonlinear oscillations and coupled oscillators for ordinary differential equation [MSC 2020] 34C23 - Bifurcation theory for ordinary differential equation [MSC 2020] 34C25 - Periodic solutions to ordinary differential equation [MSC 2020] 34C37 - Homoclinic and heteroclinic solutions to ordinary differential equation [MSC 2020] 34C55 - Hysteresis for ordinary differential equation [MSC 2020] 35K57 - Reaction-diffusion equations [MSC 2020] 35Qxx - Partial differential equations of mathematical physics and other areas of application [MSC 2020] 37N25 - Dynamical systems in biology [MSC 2020] 92C20 - Neural biology [MSC 2020] 92C37 - Cell biology [MSC 2020] |
| Soggetto non controllato |
Anatomy
Auditory system Computational Neurosciences Cortex Dynamical systems Neural oscillations Neuronal Dynamics Neurons Ordinary Differential Equations Partial Differential Equations Physiology |
| ISBN | 978-35-403-1544-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00061442 |
| Berlin, : Springer, 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Form Versus Function: Theory and Models for Neuronal Substrates : Doctoral Thesis accepted by the University of Heidelberg, Germany / Mihai Alexandru Petrovici
| Form Versus Function: Theory and Models for Neuronal Substrates : Doctoral Thesis accepted by the University of Heidelberg, Germany / Mihai Alexandru Petrovici |
| Autore | Petrovici, Mihai Alexandru |
| Pubbl/distr/stampa | Cham, : Springer, 2016 |
| Descrizione fisica | xxiii, 374 p. : ill. ; 24 cm |
| Soggetto topico | 92B20 - Neural networks for/in biological studies, artificial life and related topics [MSC 2020] |
| Soggetto non controllato |
Abstract Spiking Neuron Models
Bayesian Inference Computational Neurosciences Deep Learning Architectures Neural Network Theory Neural Sampling Neuromorphic Hardware Neuronal Dynamics Spike and Rate Codes Theoretical Neurosciences |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0163746 |
Petrovici, Mihai Alexandru
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| Cham, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Form Versus Function: Theory and Models for Neuronal Substrates : Doctoral Thesis accepted by the University of Heidelberg, Germany / Mihai Alexandru Petrovici
| Form Versus Function: Theory and Models for Neuronal Substrates : Doctoral Thesis accepted by the University of Heidelberg, Germany / Mihai Alexandru Petrovici |
| Autore | Petrovici, Mihai Alexandru |
| Pubbl/distr/stampa | Cham, : Springer, 2016 |
| Descrizione fisica | xxiii, 374 p. : ill. ; 24 cm |
| Soggetto topico | 92B20 - Neural networks for/in biological studies, artificial life and related topics [MSC 2020] |
| Soggetto non controllato |
Abstract Spiking Neuron Models
Bayesian Inference Computational Neurosciences Deep Learning Architectures Neural Network Theory Neural Sampling Neuromorphic Hardware Neuronal Dynamics Spike and Rate Codes Theoretical Neurosciences |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00163746 |
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Petrovici, Mihai Alexandru
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| Cham, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics : Selected Works from the BIOMAT Consortium Lectures, Rio de Janeiro, Brazil, 2022 / Rubem P. Mondaini editor
| Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics : Selected Works from the BIOMAT Consortium Lectures, Rio de Janeiro, Brazil, 2022 / Rubem P. Mondaini editor |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | x, 392 p. : ill. ; 24 cm |
| Soggetto non controllato |
Biomathematics
COVID-19 Computational modeling Epidemiological modeling Fractional Flow Reserve HIV-1 Mathematical modeling Neuronal Dynamics Predator-prey models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0279642 |
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics : Selected Works from the BIOMAT Consortium Lectures, Rio de Janeiro, Brazil, 2022 / Rubem P. Mondaini editor
| Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics : Selected Works from the BIOMAT Consortium Lectures, Rio de Janeiro, Brazil, 2022 / Rubem P. Mondaini editor |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | x, 392 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
92-XX - Biology and other natural sciences [MSC 2020] |
| Soggetto non controllato |
Biomathematics
COVID-19 Computational modeling Epidemiological modeling Fractional Flow Reserve HIV-1 Mathematical modeling Neuronal Dynamics Predator-prey models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00279642 |
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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