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L’Ennui du spectateur ... : Thermique du théâtre (1716-1788) ...
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СТАНОВЛЕНИЕ КОГНИТИВНОЙ ЛИНГВИСТИКИ ... : КОГНИТИВТІ ЛИНГВИСТИКАНЫҢ ҚАЛЫПТАСУЫ ...
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Former aux politiques linguistiques et éducatives. Considérations générales, pratiques de terrain ...
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Former aux politiques linguistiques et éducatives. Considérations générales, pratiques de terrain ...
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Graph-to-Graph Translations To Augment Abstract Meaning Representation Tense And Aspect
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Injecting Inductive Biases into Distributed Representations of Text
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Always erase and Renegade poets: Écriture féminine and the poetry of Medbh McGuckian and Louise Glück
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A Gradient Harmonic Grammar Account of Nasals in Extended Phonological Words
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Discursive Habits: A Representationalist Re-Reading of Teleosemiotics
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Philosophers’ linguistic expertise: A psycholinguistic approach to the expertise objection against experimental philosophy
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Critical perspective on discourse in the representation of conflict in Ireland
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Within-category representational stability through the lens of manipulable objects
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Abstract:
Our ability to recognize an object amongst many exemplars is one of our most important features, and one that putatively distinguishes humans from non-human animals and potentially from (current) computational and artificial intelligence models. We can recognize objects consistently regardless of when we see them suggesting that we have stable representations across time and different contexts. Importantly, little is known about how humans can replicate within-category object representations across time. Here, we investigate neural stability of within-category object representations by computing the similarity between representational geometries of activity patterns for 80 images of tools obtained on different functional magnetic resonance imaging (fMRI) scanning days. We show that within-category representational stability is observable in regions that span lateral and ventral temporal cortex, inferior and superior parietal cortex, and premotor cortex - regions typically associated with tool processing and visuospatial processing. We then focus on what kinds of representations best explain the representational geometries within these regions. We test the similarity of these geometries with those coming from the different layers of a convolutional neural network, and those coming from perceived and veridical visual similarity models. We find that regions supporting within-category representational stability show stronger relationship with higher-level visual/semantic features, suggesting that neural replicability is derived from perceived and higher-level visual information. Within category representational stability may thus originate from long-range cross talk between category-specific regions (and in this case strongly within ventral and lateral temporal cortex) over more abstract, rather than veridical/lower-level, visual (sensorial) representations, and perhaps in the service of object-centered representations.
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Keyword:
Animals; Artificial Intelligence; Brain Mapping; CNN; fMRI; Magnetic Resonance Imaging; Pattern Recognition; Perceived similarity; Photic Stimulation; Representational stability; Semantics; Temporal Lobe; Visual; Within-category tool representations
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URL: https://doi.org/10.1016/j.cortex.2020.12.026 http://hdl.handle.net/10316/95719
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From formulas to functions through geometry: A path to understanding algebraic computations
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Science Literacy for English Language Learners: A Qualitative Study of Teacher Practices in European Private International Schools
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Voicing the 'knacker' : analysing the comedy of the Rubberbandits.
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The representation of male characters in three challenging picture books: A multimodal study ; La representación de personajes masculinos en tres libros álbum desafiantes. Un estudio multimodal
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