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Zhengyang Yu
Arthur Aubret
Chen Yu
Jochen Triesch

Showing results (1-10 of 3,432) with videos related to

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IEEE International Conference on Development and Learning. IEEE International Conference on Development and Learning|May 11, 2026
Simulated Cortical Magnification Supports Self-Supervised Object LearningZhengyang Yu, Arthur Aubret, Chen Yu, et al.
Developmental Science|June 16, 2026
Toddlers' Active Gaze Behavior Supports Self-Supervised Object LearningZhengyang Yu, Arthur Aubret, Marcel C Raabe, et al.
Developmental Science|June 12, 2026
Re-assessing the Evidence for MR Abilities in Children Using Computational ModelsArthur Aubret, Jochen Triesch
Neural Computation|March 14, 2007
Synergies between intrinsic and synaptic plasticity mechanismsJochen Triesch
Frontiers in Psychology|November 9, 2013
Imitation learning based on an intrinsic motivation mechanism for efficient codingJochen Triesch
Advances in Cognitive Psychology|June 3, 2010
Task-specific modulation of memory for object features in natural scenesAlan Robinson, Jochen Triesch
Plos Computational Biology|February 12, 2016
Plasticity-Driven Self-Organization under Topological Constraints Accounts for Non-random Features of Cortical Synaptic WiringDaniel Miner, Jochen Triesch
Neural Networks : the Official Journal of the International Neural Network Society|December 12, 2024
Stabilizing sequence learning in stochastic spiking networks with GABA-Modulated STDPMarius Vieth, Jochen Triesch
Developmental Science|May 14, 2026
Infants and Mobiles: Developing an Understanding of Cause and EffectXia Xu, Jochen Triesch
Frontiers in Synaptic Neuroscience|March 14, 2014
A unifying theory of synaptic long-term plasticity based on a sparse distribution of synaptic strengthDaniel Krieg, Jochen Triesch
Pageof 344

Showing results (1-10 of 3,432) with videos related to

Sort By:
Pageof 344
IEEE International Conference on Development and Learning. IEEE International Conference on Development and Learning|May 11, 2026
Simulated Cortical Magnification Supports Self-Supervised Object LearningZhengyang Yu, Arthur Aubret, Chen Yu, et al.
Developmental Science|June 16, 2026
Toddlers' Active Gaze Behavior Supports Self-Supervised Object LearningZhengyang Yu, Arthur Aubret, Marcel C Raabe, et al.
Developmental Science|June 12, 2026
Re-assessing the Evidence for MR Abilities in Children Using Computational ModelsArthur Aubret, Jochen Triesch
Neural Computation|March 14, 2007
Synergies between intrinsic and synaptic plasticity mechanismsJochen Triesch
Frontiers in Psychology|November 9, 2013
Imitation learning based on an intrinsic motivation mechanism for efficient codingJochen Triesch
Advances in Cognitive Psychology|June 3, 2010
Task-specific modulation of memory for object features in natural scenesAlan Robinson, Jochen Triesch
Plos Computational Biology|February 12, 2016
Plasticity-Driven Self-Organization under Topological Constraints Accounts for Non-random Features of Cortical Synaptic WiringDaniel Miner, Jochen Triesch
Neural Networks : the Official Journal of the International Neural Network Society|December 12, 2024
Stabilizing sequence learning in stochastic spiking networks with GABA-Modulated STDPMarius Vieth, Jochen Triesch
Developmental Science|May 14, 2026
Infants and Mobiles: Developing an Understanding of Cause and EffectXia Xu, Jochen Triesch
Frontiers in Synaptic Neuroscience|March 14, 2014
A unifying theory of synaptic long-term plasticity based on a sparse distribution of synaptic strengthDaniel Krieg, Jochen Triesch
Pageof 344