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Journal Articles
- 2022
[j15]Andrea Gauthier
, Kaska Porayska-Pomsta, Sveta Mayer, Iroise Dumontheil, Emily K. Farran, Derek Bell, Denis Mareschal:
Redesigning learning games for different learning contexts: Applying a serious game design framework to redesign Stop & Think. Int. J. Child Comput. Interact. 33: 100503 (2022)- [j14]Iroise Dumontheil, Annie Brookman-Byrne, Andrew K. Tolmie, Denis Mareschal:
Neural and Cognitive Underpinnings of Counterintuitive Science and Math Reasoning in Adolescence. J. Cogn. Neurosci. 34(7): 1205-1229 (2022) - [j13]Sam Blakeman, Denis Mareschal:
Selective particle attention: Rapidly and flexibly selecting features for deep reinforcement learning. Neural Networks 150: 408-421 (2022) - [j12]Andrea Gauthier, Kaska Porayska-Pomsta, Iroise Dumontheil, Sveta Mayer, Denis Mareschal:
Manipulating Interface Design Features Affects Children's Stop-And-Think Behaviours in a Counterintuitive-Problem Game. ACM Trans. Comput. Hum. Interact. 29(2): 12:1-12:22 (2022) - 2020
- [j11]Sam Blakeman, Denis Mareschal:
A complementary learning systems approach to temporal difference learning. Neural Networks 122: 218-230 (2020) - 2014
- [j10]Richard P. Cooper, Nicolas Ruh, Denis Mareschal:
The Goal Circuit Model: A Hierarchical Multi-Route Model of the Acquisition and Control of Routine Sequential Action in Humans. Cogn. Sci. 38(2): 244-274 (2014) - 2013
- [j9]Nadja Althaus, Denis Mareschal:
Modeling Cross-Modal Interactions in Early Word Learning. IEEE Trans. Auton. Ment. Dev. 5(4): 288-297 (2013) - 2011
- [j8]Tessa Dekker, Denis Mareschal, Martin I. Sereno, Mark H. Johnson:
Dorsal and ventral stream activation and object recognition performance in school-age children. NeuroImage 57(3): 659-670 (2011) - 2009
- [j7]Tobias Grossmann, Teodora Gliga, Mark H. Johnson, Denis Mareschal:
The Neural Basis of Perceptual Category Learning in Human Infants. J. Cogn. Neurosci. 21(12): 2276-2286 (2009) - 2007
- [j6]Denis Mareschal, Michael S. C. Thomas:
Computational Modeling in Developmental Psychology. IEEE Trans. Evol. Comput. 11(2): 137-150 (2007) - 2006
- [j5]Denis Mareschal, Michael S. C. Thomas:
How computational models help explain the origins of reasoning. IEEE Comput. Intell. Mag. 1(3): 32-40 (2006) - [j4]Eleni Kotsoni, Denis Mareschal, Gergely Csibra, Mark H. Johnson:
Common-onset Visual Masking in Infancy: Behavioral and Electrophysiological Evidence. J. Cogn. Neurosci. 18(6): 966-973 (2006) - 2002
- [j3]Denis Mareschal, Paul C. Quinn, Robert M. French:
Asymmetric interference in 3- to 4-month-olds' sequential category learning. Cogn. Sci. 26(3): 377-389 (2002) - 1999
- [j2]Denis Mareschal, Thomas R. Shultz:
Development of Children's Seriation: A Connectionist Approach. Connect. Sci. 11(2): 149-186 (1999) - 1994
- [j1]Thomas R. Shultz, Denis Mareschal, William C. Schmidt:
Modeling Cognitive Development on Balance Scale Phenomena. Mach. Learn. 16(1-2): 57-86 (1994)
Conference and Workshop Papers
- 2022
- [c7]Sam Blakeman, Denis Mareschal:
Explanations from Deep Reinforcement Learning Using Episodic Memories. HLC 2022: 53-58 - 2020
- [c6]Andrea Gauthier, Kaska Porayska-Pomsta, Denis Mareschal:
Using Eye-Tracking and Click-Stream Data to Design Adaptive Training of Children's Inhibitory Control in a Maths and Science Game. AIED (2) 2020: 103-108 - [c5]Aude Carteron, Denis Mareschal, Richard P. Cooper:
A Mechanistic Account of Model-Free / Model-Based Trade-off and its Change Across Development. CogSci 2020 - 2017
- [c4]Sam Blakeman, Denis Mareschal:
Narrowing of the Cone-of-Direct Gaze Through Reinforcement Learning. CogSci 2017 - [c3]Robert M. French, Denis Mareschal:
TRACX2: a RAAM-like autoencoder modeling graded chunking in infant visual-sequence learning. CogSci 2017 - 2014
- [c2]Caspar Addyman, Denis Mareschal:
GAMIT-Net: Retrospective and prospective interval timing in a single neural network. CogSci 2014 - 2011
- [c1]Caspar Addyman, Robert M. French, Denis Mareschal, Elizabeth Thomas:
Learning to perceive time: A connectionist, memory-decay model of the development of interval timing in infants. CogSci 2011
Parts in Books or Collections
- 2022
- [p1]Denis Mareschal, Sam Blakeman:
Fast and Slow Learning in Human-Like Intelligence. Human-Like Machine Intelligence 2022: 316-337
Editorship
- 2022
- [e1]Alan Bundy, Denis Mareschal:
Proceedings of the 3rd Human-Like Computing Workshop (HLC 2022) co-located with the 2nd International Joint Conference on Learning and Reasoning (IJCLR 2022), Windsor, United Kingdom, September 28-30th, 2022. CEUR Workshop Proceedings 3227, CEUR-WS.org 2022 [contents]
Informal and Other Publications
- 2022
- [i3]Sam Blakeman, Denis Mareschal:
Generating Explanations from Deep Reinforcement Learning Using Episodic Memory. CoRR abs/2205.08926 (2022) - 2020
- [i2]Sam Blakeman, Denis Mareschal:
Selective Particle Attention: Visual Feature-Based Attention in Deep Reinforcement Learning. CoRR abs/2008.11491 (2020) - 2019
- [i1]Sam Blakeman, Denis Mareschal:
A Complementary Learning Systems Approach to Temporal Difference Learning. CoRR abs/1905.02636 (2019)
Coauthor Index
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