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My work is currently focusing on relating existing theories of memory to research paradigms that tap more directly into real-world experiences. Though we know that memories can be dissociated based on content - such as items and contexts (Ranganath & Ritchey, 2012; Ritchey, Libby, & Ranganath, 2015) much of the evidence for these dissociations comes from simple paradigms with objects against backgrounds. How does this work in real life, where we extract 'event representations' from a continuous flow of incoming sensory input? How do we represent information as unique, or categorize it based on overlap with other experiences?
I designed a study to answer these questions. In this research, I filmed 8 video clips, each involving a central character in a single context. In total, I filmed two people in four different contexts, and importantly, there were two classes of contexts (i.e., two cafes and two grocery stores). I then used representational similarity analysis over patterns of fMRI data to characterize the contents peoples' brains extracted from these video clips. Though analyses are ongoing, I am finding that anterior-temporal brain areas extract stable representations of specific people across multiple dynamic episodes. Conversely, posterior-medial brain areas extract stable representations of particular spatial contexts (e.g., this cafe). Here's where it gets super cool. Medial prefrontal cortex extracts representations of classes of contexts (e.g., any cafe) despite major perceptual differences and different characters, and hippocampal coding seems to be highly specific to a single event (e.g., any one video versus all others). This offers some major clues about the way networks of brain areas may extract particular bits of information from ongoing experience, and scaffold them together into a holistic representation of an event.
I designed a study to answer these questions. In this research, I filmed 8 video clips, each involving a central character in a single context. In total, I filmed two people in four different contexts, and importantly, there were two classes of contexts (i.e., two cafes and two grocery stores). I then used representational similarity analysis over patterns of fMRI data to characterize the contents peoples' brains extracted from these video clips. Though analyses are ongoing, I am finding that anterior-temporal brain areas extract stable representations of specific people across multiple dynamic episodes. Conversely, posterior-medial brain areas extract stable representations of particular spatial contexts (e.g., this cafe). Here's where it gets super cool. Medial prefrontal cortex extracts representations of classes of contexts (e.g., any cafe) despite major perceptual differences and different characters, and hippocampal coding seems to be highly specific to a single event (e.g., any one video versus all others). This offers some major clues about the way networks of brain areas may extract particular bits of information from ongoing experience, and scaffold them together into a holistic representation of an event.
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crossref(2024)
JOURNAL OF EXPERIMENTAL PSYCHOLOGY-GENERALno. 2 (2024)
NEUROPSYCHOLOGIA (2023): 108729-108729
Journal of cognitive neuroscienceno. 1 (2022): 1-21
bioRxiv (Cold Spring Harbor Laboratory) (2022)
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