Dog, cat, and leash: Difference in processing costs among inflectional allomorphs during speech production. Abstract: We need to generate contextually-appropriate inflections to produce well-formed words and sentences, and a key component of this process is generating the correct allomorph – variant pronunciations of a morpheme. In this project, we examine the processing costs of the English regular […]
Canonical dimensions of vision. For department members, department major/minor undergraduate students, and invited guests. In-person and on Zoom.
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 […]
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 […]
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 […]
Brain and Emergence: From Syntergetic Cort to Causal Structure ABSTRACT: Emergence, also known as "the whole is greater than the sum of its parts", is a widespread phenomenon in various complex systems. How did the first living cell emerge from the collisions of different molecules in the early Earth's environment? How do large neural language […]
Rethinking Language-Alignment in the Human Visual System Using Controlled Comparisons of Vision-Language Models and Wordplay ABSTRACT: Recent success predicting ventral visual stream responses to images from large language model (LLM) representations of image captions has sparked renewed interest in the possibility that high-level human visual representations are “aligned” to language. In this talk, we’ll further […]
Associative Memory Contributes to Regular and Irregular English Past Tense Production: Evidence from Williams Syndrome Abstract TBA. Rennie Pasquinelli is a PhD candidate interested in cognitive and linguistic development in typically and atypically developing populations. Current work focuses on the intersection of language acquisition, development, and memory in Williams syndrome.
What do recurrent neural networks learn and use from morpho-phonological alternations?: a case study of Turkish vowel harmony
Speech production and its neural substrates: evidence from sound-based errors in Primary Progressive Aphasia
Speech production and its neural substrates: evidence from sound-based errors in Primary Progressive Aphasia
Dynamic, social vision highlights gaps between deep learning and humans