Convolutional neural networks develop major organizational principles of early visual cortex when enhanced with retinal sampling
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Convolutional neural networks develop major organizational principles of early visual cortex when enhanced with retinal sampling ; volume:14 ; number:1 ; day:18 ; month:4 ; year:2024 ; pages:1-14 ; date:12.2024
Scientific reports ; 14, Heft 1 (18.4.2024), 1-14, 12.2024
- Creator
-
Costa, Danny da
Kornemann, Lukas
Goebel, Rainer
Senden, Mario
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-024-59376-x
- URN
-
urn:nbn:de:101:1-2406302108397.620246677995
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:57 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Costa, Danny da
- Kornemann, Lukas
- Goebel, Rainer
- Senden, Mario
- SpringerLink (Online service)
Other Objects (12)
Sampling migrants in six European countries: how to develop a comparative design?
Asymmetric sampling in human auditory cortex reveals spectral processing hierarchy
Designing organizational eco-map to develop a customer value proposition for a "slow tourism" destination
How to Develop Organizational Forms for a Successful Digital Transformation? Findings from Two Case Studies
MonoDevelop
Using a multimethod approach to develop implementation strategies for a cervical self-sampling program in Kenya
A Novel Feature Selection Approach-Based Sampling Theory on Grapevine Images Using Convolutional Neural Networks
Develop without developing
Sampling military personnel records: data quality and theoretical uses of organizational process generated data
Sampling military personnel records: data quality and theoretical uses of organizational process generated data
A convolutional neural network model of the neural responses of inferotemporal cortex to complex visual objects
Activations of deep convolutional neural networks are aligned with gamma band activity of human visual cortex
Sampling migrants in six European countries: how to develop a comparative design?
Asymmetric sampling in human auditory cortex reveals spectral processing hierarchy
Designing organizational eco-map to develop a customer value proposition for a "slow tourism" destination
How to Develop Organizational Forms for a Successful Digital Transformation? Findings from Two Case Studies
MonoDevelop
Using a multimethod approach to develop implementation strategies for a cervical self-sampling program in Kenya
A Novel Feature Selection Approach-Based Sampling Theory on Grapevine Images Using Convolutional Neural Networks
Develop without developing
Sampling military personnel records: data quality and theoretical uses of organizational process generated data
Sampling military personnel records: data quality and theoretical uses of organizational process generated data
A convolutional neural network model of the neural responses of inferotemporal cortex to complex visual objects
Activations of deep convolutional neural networks are aligned with gamma band activity of human visual cortex
Sampling migrants in six European countries: how to develop a comparative design?
Asymmetric sampling in human auditory cortex reveals spectral processing hierarchy
Designing organizational eco-map to develop a customer value proposition for a "slow tourism" destination
How to Develop Organizational Forms for a Successful Digital Transformation? Findings from Two Case Studies
MonoDevelop
Using a multimethod approach to develop implementation strategies for a cervical self-sampling program in Kenya
A Novel Feature Selection Approach-Based Sampling Theory on Grapevine Images Using Convolutional Neural Networks
Develop without developing
Sampling military personnel records: data quality and theoretical uses of organizational process generated data
Sampling military personnel records: data quality and theoretical uses of organizational process generated data
A convolutional neural network model of the neural responses of inferotemporal cortex to complex visual objects