Canonical dimensions of vision. For department members, department major/minor undergraduate students, and invited guests. In-person and on Zoom.
Selection in Written Language Production: Evidence from Aphasia ABSTRACT: Most models of word production assume that in the process of producing a target word, multiple distractors also get activated, both other words (at the lexical level) and other phonemes/letters (at the segmental level). Thus, a selection mechanism is needed to select the targets at each […]
Development of relational reasoning: When do children pass the Relational Match-to-Sample task? ABSTRACT: Relational ability—the ability to compare situations or ideas and discover common relations – is a key process in higher-order cognition that underlies transfer in learning and creative problem solving. For this reason, it has generated intense interest both among developmentalists and in […]
Lateralization of Social Interaction Perception. ABSTRACT: Social perception emerges early, occurs automatically, and is used ubiquitously in daily life. Understanding its neural underpinnings is critical to cognitive neuroscience. A region in the right posterior superior temporal sulcus (STS) that selectively supports social interaction perception has been found by contrasting brain responses to interacting and non-interacting […]
Keynote speakers from nearby universities will deliver presentations on aspects of cognitive science in alignment with this year's conference theme. Keynote Speakers: Furthermore, students will have the opportunity to present their accepted research posters, and enter a poster competition to receive an award!
Differentiable Tree Operations Promote Compositional Generalization. ABSTRACT: In the context of structure to structure transformation tasks, sequences of discrete symbolic operations (e.g., op codes or programs) are an important tool but are difficult to learn due to their non-differentiability. To support learning sequences of symbolic operations, we propose a differentiable tree interpreter which compiles high-level […]
Neural representations: From humans to artificial networks and back ABSTRACT: I will discuss various properties of neural representations (dimensionality, spectra, hyperalignments) found in biological brains and show how they can be connected to recent findings in the inner workings of artificial neural networks. I will show results in the context of vision using fMRI data […]
It is our pleasure to announce Zihan Wang as the 2023 Glushko Outstanding Undergraduate Cognitive Science Prize recipient! Zihan will give a virtual talk on "Characterizing Complex Spatial Skills: Block Building in Children as an Exemplar Domain." The event link is being circulated among students and affiliates of the department via email only. Inquiries may […]
Pragmatic inference in spatial language. ABSTRACT: Spatial prepositions left, right, above, below, in, on, and others belong to a closed lexical class, meaning that the same spatial term frequently describes a wide range of spatial relations. As a result, speakers have to make generalizations about what kind of spatial relations can be described with the […]
Structural Representations in Online Syntactic Processing: An Artificial Neural Network Approach. ABSTRACT: Speakers of a language are able to effortlessly determine whether sentences abide by grammatical rules: we instantly know "The dog runs" is a good sentence, but "The dogs runs" is not. Work in syntactic theory suggests that it is necessary to represent complex […]