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1
A deep learning account of how language affects thought ...
Luo, Xiaoliang; Sexton, Nicholas J.; Love, Bradley C.. - : Taylor & Francis, 2021
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2
A deep learning account of how language affects thought ...
Luo, Xiaoliang; Sexton, Nicholas J.; Love, Bradley C.. - : Taylor & Francis, 2021
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3
Variability in the analysis of a single neuroimaging dataset by many teams
In: ISSN: 0028-0836 ; EISSN: 1476-4679 ; Nature ; https://www.hal.inserm.fr/inserm-02914443 ; Nature, Nature Publishing Group, 2020, 582 (7810), pp.84-88. ⟨10.1038/s41586-020-2314-9⟩ (2020)
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4
Conceptual Organization is Revealed by Consumer Activity Patterns
In: Comput Brain Behav (2019)
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5
Dynamic integration of conceptual information during learning.
In: PloS one, vol 13, iss 11 (2018)
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6
Computational reinforcement learning
In: The Oxford handbook of computational and mathematical psychology (Oxford, 2015), p. 99-120
MPI für Psycholinguistik
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7
Categorization
In: The cutting edges (Oxford, 2014), p. 342-358
MPI für Psycholinguistik
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8
The influence of depression symptoms on exploratory decision-making
In: Cognition. - Amsterdam [u.a] : Elsevier 129 (2013) 3, 563-568
OLC Linguistik
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9
Learning is not decline: The mental lexicon as a window into cognition across the lifespan
In: The mental lexicon. - Amsterdam [u.a.] : John Benjamins Publishing Company 8 (2013) 3, 450-481
OLC Linguistik
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10
Can quantum probability provide a new direction for cognitive modeling? : [Including open peer commentary and authors' response]
In: Behavioral and brain sciences. - New York, NY [u.a.] : Cambridge Univ. Press 36 (2013) 3, 255-327
BLLDB
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11
Grounding quantum probability in psychological mechanism
In: Behavioral and brain sciences. - New York, NY [u.a.] : Cambridge Univ. Press 36 (2013) 3, 296
OLC Linguistik
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12
Structural priming as structure-mapping: children use analogies from previous utterances to guide sentence production
In: Cognitive science. - Hoboken, NJ : Wiley-Blackwell 35 (2011) 1, 156-170
BLLDB
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13
A computational model of language pathology in schizophrenia
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14
Direct associations or internal transformations? Exploring the mechanisms underlying sequential learning behaviour
In: Cognitive science. - Hoboken, NJ : Wiley-Blackwell 34 (2010) 1, 10-50
BLLDB
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15
When learning to classify by relations is easier than by features
In: Thinking & reasoning. - Abingdon : Routledge, Taylor & Francis Group 16 (2010) 4, 372-401
BLLDB
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16
Mechanistic models of associative and rule-based category learning
In: The making of human concepts (Oxford, 2010), p. 53-74
MPI für Psycholinguistik
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17
Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior
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18
Building BRIDGES : combining analogy and category learning to learn relation-based categories
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19
Two pathways to stimulus encoding in category learning?
In: Memory & cognition. - Heidelberg [u.a.] : Springer 37 (2009) 4, 394-413
OLC Linguistik
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20
Two pathways to stimulus encoding in category learning?
In: Memory & cognition. - Heidelberg [u.a.] : Springer 37 (2009) 4, 394-413
OLC Linguistik
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