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ORCIDLeonidas A. A. Doumas
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2020 – today
- 2023
[c20]Sydelle de Souza, Ivan Vegner, Leonidas A. A. Doumas, Francis Mollica:
What can MINERVA2 tell us about 'killing hope'? Investigating L2 Collocational Processing with a Memory Model. CogSci 2023- 2022
- [c19]Ekaterina Y. Shurkova, Leonidas A. A. Doumas:
Towards a Model of Visual Reasoning. CogSci 2022 - [i9]Guillermo Puebla
, Leonidas A. A. Doumas:
Learning Relational Rules from Rewards. CoRR abs/2203.13599 (2022) - 2021
- [c18]Ekaterina Y. Shurkova, Leonidas A. A. Doumas:
Compression: A Lossless Mechanism for Learning Complex Structured Relational Representations. CogSci 2021 - [i8]Panagiotis Kourtesis, Simona Collina, Leonidas A. A. Doumas, Sarah E. MacPherson:
Technological Competence is a Precondition for Effective Implementation of Virtual Reality Head Mounted Displays in Human Neuroscience: A Technological Review and Meta-analysis. CoRR abs/2101.08123 (2021) - [i7]Panagiotis Kourtesis, Simona Collina, Leonidas A. A. Doumas, Sarah E. MacPherson:
Validation of the Virtual Reality Neuroscience Questionnaire: Maximum Duration of Immersive Virtual Reality Sessions Without the Presence of Pertinent Adverse Symptomatology. CoRR abs/2101.08146 (2021) - [i6]Panagiotis Kourtesis, Danai Korre, Simona Collina, Leonidas A. A. Doumas, Sarah E. MacPherson:
Guidelines for the Development of Immersive Virtual Reality Software for Cognitive Neuroscience and Neuropsychology: The Development of Virtual Reality Everyday Assessment Lab (VR-EAL). CoRR abs/2101.08166 (2021) - [i5]Panagiotis Kourtesis, Simona Collina, Leonidas A. A. Doumas, Sarah E. MacPherson:
An ecologically valid examination of event-based and time-based prospective memory using immersive virtual reality: the effects of delay and task type on everyday prospective memory. CoRR abs/2102.10448 (2021) - 2020
- [c17]Leonidas A. A. Doumas, Guillermo Puebla, Andrea E. Martin, John E. Hummel:
Relation learning in a neurocomputational architecture supports cross-domain transfer. CogSci 2020 - [c16]Ekaterina Y. Shurkova, Leonidas A. A. Doumas:
Simulating Feature- and Relation-Based Categorisation with a Symbolic-Connectionist Model. CogSci 2020
2010 – 2019
- 2019
- [j3]Panagiotis Kourtesis, Danai Korre, Simona Collina, Leonidas A. A. Doumas, Sarah E. MacPherson:
Guidelines for the Development of Immersive Virtual Reality Software for Cognitive Neuroscience and Neuropsychology: The Development of Virtual Reality Everyday Assessment Lab (VR-EAL), a Neuropsychological Test Battery in Immersive Virtual Reality. Frontiers Comput. Sci. 1: 12 (2019) - [i4]Guillermo Puebla, Andrea E. Martin, Leonidas A. A. Doumas:
The relational processing limits of classic and contemporary neural network models of language processing. CoRR abs/1905.05708 (2019) - [i3]Leonidas A. A. Doumas, Guillermo Puebla, Andrea E. Martin, John E. Hummel:
Relation learning in a neurocomputational architecture supports cross-domain transfer. CoRR abs/1910.05065 (2019) - 2018
- [c15]Ana Puljic, Leonidas A. A. Doumas:
Experimentally Testing the Intuitions about Semantic Reference. CogSci 2018 - [i2]Leonidas A. A. Doumas, Guillermo Puebla, Andrea E. Martin:
Human-like generalization in a machine through predicate learning. CoRR abs/1806.01709 (2018) - [i1]Andrea E. Martin, Leonidas A. A. Doumas:
Predicate learning in neural systems: Discovering latent generative structures. CoRR abs/1810.01127 (2018) - 2016
- [c14]Leonidas A. A. Doumas, Andrea E. Martin:
Abstraction in time: Finding hierarchical linguistic structure in a model of relational processing. CogSci 2016 - 2015
- [c13]Katherine Livins, Leonidas A. A. Doumas, Michael J. Spivey:
Tracking Relations: The Effects of Visual Attention on Relational Recognition. CogSci 2015 - 2014
- [c12]Margeaux Ciraolo, Samantha O'Hanlon, Leonidas A. A. Doumas:
Computational Comparison of Children and Apes on a Non-Verbal False Belief Task. CogSci 2014 - [c11]Aaron Hamer, Leonidas A. A. Doumas:
The Availability Heuristic in a Symbolic-Connectionist Architecture. CogSci 2014 - [c10]Ahnate Lim, Leonidas A. A. Doumas, Scott Sinnett:
Supramodal Representations in Melodic Perception. CogSci 2014 - [c9]Katherine Livins, Leonidas A. A. Doumas:
The Effects of Complexity on Relational Recognition. CogSci 2014 - [c8]Katherine Livins, Michael J. Spivey, Leonidas A. A. Doumas:
Shaping Relational Category-Learning With Visuospatial Priming. CogSci 2014 - 2013
- [c7]Aaron Hamer, Leonidas A. A. Doumas:
Discovering Quantification and Number in a Role-Filler Model. CogSci 2013 - [c6]Ahnate Lim, Leonidas A. A. Doumas, Scott Sinnett:
Modeling the Relational Shift in Melodic Processing of Young Children. CogSci 2013 - 2012
- [c5]Stella Christie, Dedre Gentner, Mutsumi Imai, Etsuko Haryu, Hiroyuki Okada, Ji Y. Son, James W. Stigler, Leonidas A. A. Doumas, Robert G. Morrison, Lindsey E. Richland:
The role of comparison in structure learning: Developmental, learning science, and computational perspectives. CogSci 2012 - [c4]Ahnate Lim, Leonidas A. A. Doumas, Scott Sinnett:
Modeling Melodic Perception as Relational Learning Using a Symbolic-Connectionist Architecture (DORA). CogSci 2012 - [c3]Katherine Livins, Leonidas A. A. Doumas:
Is embodied cognition infallible or falsifiable? Investigating the thesis as a sound scientific theory. CogSci 2012 - 2011
- [c2]Katherine Livins, Leonidas A. A. Doumas:
The proper treatment of strcutured representations. CogSci 2011 - 2010
- [j2]Leonidas A. A. Doumas, John E. Hummel:
A Computational Account of the Development of the Generalization of Shape Information. Cogn. Sci. 34(4): 698-712 (2010) - [j1]Ji Y. Son, Leonidas A. A. Doumas, Robert L. Goldstone:
When Do Words Promote Analogical Transfer? J. Probl. Solving 3(1) (2010)
2000 – 2009
- 2004
- [c1]John E. Hummel, Keith J. Holyoak, Collin B. Green, Leonidas A. A. Doumas, Derek Devnich, Aniket Kittur, Donald J. Kalar:
A Solution to the Binding Problem for Compositional Connectionism. AAAI Technical Report (3) 2004: 31-34
Coauthor Index
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