The book of GENESIS : exploring realistic neural models with the general neural simulation system
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
-
9783540940197
3540940197
9780387940199
0387940197
- Maße
-
25 cm
- Umfang
-
XX, 409 S.
- Sprache
-
Deutsch
- Anmerkungen
-
graph. Darst.
Literaturverz. S. 385 - 400
- Schlagwort
-
GENESIS
- Ereignis
-
Veröffentlichung
- (wo)
-
[Berlin, Heidelberg], New York
- (wer)
-
Springer
- (wann)
-
1994
- Ereignis
-
Veröffentlichung
- (wo)
-
Santa Clara, California
- (wer)
-
Telos
- (wann)
-
1994
- Beteiligte Personen und Organisationen
-
Bower, James M.
Beeman, David
Wylde, Allan M.
- Inhaltsverzeichnis
- Rechteinformation
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Letzte Aktualisierung
-
11.06.2025, 13:45 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
- Bower, James M.
- Beeman, David
- Wylde, Allan M.
- Springer
- Telos
Entstanden
- 1994
Ähnliche Objekte (12)
Neurobiologically realistic neural network enables cross-scale modeling of neural dynamics
Optimal decision making with biologically realistic neural signals
Temporal order of bipolar cell genesis in the neural retina
Visual computing techniques for the reconstruction and analysis of anatomically realistic neural networks
Analysis of reflex modulation with a biologically realistic neural network
Exploring Quaternion Neural Network Loss Surfaces
Neural field model of rat's cortex based on realistic connectivity from diffusion weighted MRI and neural morphology
Exploring the neural correlates of (altered) moral cognition in psychopaths
Exploring the uncertainty principle in neural networks through binary classification
Generation of realistic synthetic data using Multimodal Neural Ordinary Differential Equations
Modelling spatially realistic local field potentials in spiking neural networks using the VERTEX simulation tool
Exploring the performance of implicit neural representations for brain image registration
Neurobiologically realistic neural network enables cross-scale modeling of neural dynamics
Optimal decision making with biologically realistic neural signals
Temporal order of bipolar cell genesis in the neural retina
Visual computing techniques for the reconstruction and analysis of anatomically realistic neural networks
Analysis of reflex modulation with a biologically realistic neural network
Exploring Quaternion Neural Network Loss Surfaces
Neural field model of rat's cortex based on realistic connectivity from diffusion weighted MRI and neural morphology
Exploring the neural correlates of (altered) moral cognition in psychopaths
Exploring the uncertainty principle in neural networks through binary classification
Generation of realistic synthetic data using Multimodal Neural Ordinary Differential Equations
Modelling spatially realistic local field potentials in spiking neural networks using the VERTEX simulation tool
Exploring the performance of implicit neural representations for brain image registration
Neurobiologically realistic neural network enables cross-scale modeling of neural dynamics
Optimal decision making with biologically realistic neural signals
Temporal order of bipolar cell genesis in the neural retina
Visual computing techniques for the reconstruction and analysis of anatomically realistic neural networks
Analysis of reflex modulation with a biologically realistic neural network
Exploring Quaternion Neural Network Loss Surfaces
Neural field model of rat's cortex based on realistic connectivity from diffusion weighted MRI and neural morphology
Exploring the neural correlates of (altered) moral cognition in psychopaths
Exploring the uncertainty principle in neural networks through binary classification
Generation of realistic synthetic data using Multimodal Neural Ordinary Differential Equations
Modelling spatially realistic local field potentials in spiking neural networks using the VERTEX simulation tool