Leonidas A. A. Doumas

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 15

Top Topics

Top Venues

Frontiers Comput. Sci.

Publications

Guillermo Puebla, Leonidas A. A. Doumas
Learning Relational Rules from Rewards. CoRR (2022)
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 (2021)
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 (2021)
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 (2021)
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 (2021)
Ekaterina Y. Shurkova, Leonidas A. A. Doumas
Simulating Feature- and Relation-Based Categorisation with a Symbolic-Connectionist Model. CogSci (2020)
Leonidas A. A. Doumas, Guillermo Puebla, Andrea E. Martin, John E. Hummel
Relation learning in a neurocomputational architecture supports cross-domain transfer. CogSci (2020)
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 (2019)
Leonidas A. A. Doumas, Guillermo Puebla, Andrea E. Martin, John E. Hummel
Relation learning in a neurocomputational architecture supports cross-domain transfer. CoRR (2019)
Guillermo Puebla, Andrea E. Martin, Leonidas A. A. Doumas
The relational processing limits of classic and contemporary neural network models of language processing. CoRR (2019)
Leonidas A. A. Doumas, Guillermo Puebla, Andrea E. Martin
Human-like generalization in a machine through predicate learning. CoRR (2018)
Ana Puljic, Leonidas A. A. Doumas
Experimentally Testing the Intuitions about Semantic Reference. CogSci (2018)
Andrea E. Martin, Leonidas A. A. Doumas
Predicate learning in neural systems: Discovering latent generative structures. CoRR (2018)
Leonidas A. A. Doumas, Andrea E. Martin
Abstraction in time: Finding hierarchical linguistic structure in a model of relational processing. CogSci (2016)
Katherine Livins, Leonidas A. A. Doumas, Michael J. Spivey
Tracking Relations: The Effects of Visual Attention on Relational Recognition. CogSci (2015)
Aaron Hamer, Leonidas A. A. Doumas
The Availability Heuristic in a Symbolic-Connectionist Architecture. CogSci (2014)
Katherine Livins, Michael J. Spivey, Leonidas A. A. Doumas
Shaping Relational Category-Learning With Visuospatial Priming. CogSci (2014)
Margeaux Ciraolo, Samantha O'Hanlon, Leonidas A. A. Doumas
Computational Comparison of Children and Apes on a Non-Verbal False Belief Task. CogSci (2014)
Ahnate Lim, Leonidas A. A. Doumas, Scott Sinnett
Supramodal Representations in Melodic Perception. CogSci (2014)
Katherine Livins, Leonidas A. A. Doumas
The Effects of Complexity on Relational Recognition. CogSci (2014)
Ahnate Lim, Leonidas A. A. Doumas, Scott Sinnett
Modeling the Relational Shift in Melodic Processing of Young Children. CogSci (2013)
Aaron Hamer, Leonidas A. A. Doumas
Discovering Quantification and Number in a Role-Filler Model. CogSci (2013)
Katherine Livins, Leonidas A. A. Doumas
Is embodied cognition infallible or falsifiable? Investigating the thesis as a sound scientific theory. CogSci (2012)
Ahnate Lim, Leonidas A. A. Doumas, Scott Sinnett
Modeling Melodic Perception as Relational Learning Using a Symbolic-Connectionist Architecture (DORA). CogSci (2012)
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)
Katherine Livins, Leonidas A. A. Doumas
The proper treatment of strcutured representations. CogSci (2011)
Leonidas A. A. Doumas, John E. Hummel
A Computational Account of the Development of the Generalization of Shape Information. Cogn. Sci. 34 (4) (2010)
Ji Y. Son, Leonidas A. A. Doumas, Robert L. Goldstone
When Do Words Promote Analogical Transfer? J. Probl. Solving 3 (1) (2010)
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)