Adaptive learning in a compartmental model of visual cortex - how feedback enables stable category learning and refinement
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Frontiers in Psychology ; 5 (2014). - Art.-Nr. 1287. - eISSN 1664-1078
- Schlagwort
-
Neuroinformatik
Neuronales Netz
Maschinelles Lernen
- Ereignis
-
Veröffentlichung
- (wo)
-
Ulm
- (wer)
-
Universität Ulm
- (wann)
-
2014
- Urheber
-
Layher, Georg
Schrodt, Fabian
Butz, Martin V.
Neumann, Heiko
- DOI
-
10.18725/OPARU-38914
- URN
-
urn:nbn:de:bsz:289-oparu-38990-7
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:47 MEZ
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
- Layher, Georg
- Schrodt, Fabian
- Butz, Martin V.
- Neumann, Heiko
- Universität Ulm
Entstanden
- 2014
Ähnliche Objekte (12)
Dissociable Category Learning Systems
How Machine Learning Enables Automated Side-Channel Detection
Reinforcement Learning Enables Resource Partitioning in Foraging Bats
Category learning in autistic individuals: a meta-analysis
Machine learning enables long time scale molecular photodynamics simulations
Federated learning enables big data for rare cancer boundary detection
Inhibitory feedback enables predictive learning of multiple sequences in neural networks
Circuit refinement in mouse visual cortex during development
Author Correction: Federated learning enables big data for rare cancer boundary detection
ANIMAL-SPOT enables animal-independent signal detection and classification using deep learning
NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways
Rapid plasticity in the prefrontal cortex during affective associative learning
Dissociable Category Learning Systems
How Machine Learning Enables Automated Side-Channel Detection
Reinforcement Learning Enables Resource Partitioning in Foraging Bats
Category learning in autistic individuals: a meta-analysis
Machine learning enables long time scale molecular photodynamics simulations
Federated learning enables big data for rare cancer boundary detection
Inhibitory feedback enables predictive learning of multiple sequences in neural networks
Circuit refinement in mouse visual cortex during development
Author Correction: Federated learning enables big data for rare cancer boundary detection
ANIMAL-SPOT enables animal-independent signal detection and classification using deep learning
NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways
Rapid plasticity in the prefrontal cortex during affective associative learning
Dissociable Category Learning Systems
How Machine Learning Enables Automated Side-Channel Detection
Reinforcement Learning Enables Resource Partitioning in Foraging Bats
Category learning in autistic individuals: a meta-analysis
Machine learning enables long time scale molecular photodynamics simulations
Federated learning enables big data for rare cancer boundary detection
Inhibitory feedback enables predictive learning of multiple sequences in neural networks
Circuit refinement in mouse visual cortex during development
Author Correction: Federated learning enables big data for rare cancer boundary detection
ANIMAL-SPOT enables animal-independent signal detection and classification using deep learning
NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways