- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Dynamics of neural fields with exponential temporal kernel ; day:9 ; month:3 ; year:2024 ; pages:1-16
Theory in biosciences ; (9.3.2024), 1-16
- Urheber
-
Shamsara, Elham
Yamakou, Marius E.
Atay, Fatihcan M.
Jost, Jürgen
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s12064-024-00414-7
- URN
-
urn:nbn:de:101:1-2405122112076.545862078810
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 14.08.2025, 11:02 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Shamsara, Elham
- Yamakou, Marius E.
- Atay, Fatihcan M.
- Jost, Jürgen
- SpringerLink (Online service)
Ähnliche Objekte (12)
FREE EXPONENTIAL FAMILIES AS KERNEL FAMILIES
Exponential concentration in quantum kernel methods
Dynamics of exponential maps
Dynamics of exponential maps
Neural dynamics of perceptual detection under temporal uncertainty
Optimum study of fractional polio model with exponential decay kernel
Analyzing training dynamics of deep neural networks: insights and limitations of the neural tangent kernel regime
Neural Generalization of Multiple Kernel Learning
An analysis of exponential kernel fractional difference operator for delta positivity
Robust estimation for kernel exponential families with smoothed total variation distances
Kernel Reconstruction for Delayed Neural Field Equations
Learning with graphs: kernel and neural approaches
FREE EXPONENTIAL FAMILIES AS KERNEL FAMILIES
Exponential concentration in quantum kernel methods
Dynamics of exponential maps
Dynamics of exponential maps
Neural dynamics of perceptual detection under temporal uncertainty
Optimum study of fractional polio model with exponential decay kernel
Analyzing training dynamics of deep neural networks: insights and limitations of the neural tangent kernel regime
Neural Generalization of Multiple Kernel Learning
An analysis of exponential kernel fractional difference operator for delta positivity
Robust estimation for kernel exponential families with smoothed total variation distances
Kernel Reconstruction for Delayed Neural Field Equations
Learning with graphs: kernel and neural approaches
FREE EXPONENTIAL FAMILIES AS KERNEL FAMILIES
Exponential concentration in quantum kernel methods
Dynamics of exponential maps
Dynamics of exponential maps
Neural dynamics of perceptual detection under temporal uncertainty
Optimum study of fractional polio model with exponential decay kernel
Analyzing training dynamics of deep neural networks: insights and limitations of the neural tangent kernel regime
Neural Generalization of Multiple Kernel Learning
An analysis of exponential kernel fractional difference operator for delta positivity
Robust estimation for kernel exponential families with smoothed total variation distances
Kernel Reconstruction for Delayed Neural Field Equations