We have just published our outreach article in the science communication publication, Scientia. The link to access the article can be found here.
Cognitive Neuroscience of Memory… or How the Brain Learns and Remembers
We have just published our outreach article in the science communication publication, Scientia. The link to access the article can be found here.
Stefania and Dasa have a new paper published in the Journal of neuroscience.
Ashby, S. R., & Zeithamova, D. (2022). Category-biased neural representations form spontaneously during learning that emphasizes memory for specific instances. Journal of Neuroscience, 42(5), 865-876.LINK
Abstract:
Category learning, learning to sort a set of stimuli into categories or groups, can induce category biases in perception such that items in the same category are perceived as more similar than items from different categories. To what degree category bias develops when learning goals emphasize individuation of each stimulus and whether the bias emerges spontaneously during learning itself rather than in response to task demands is unclear. Here, we used functional MRI (fMRI) during encoding to test for category biases in neural representations of individual stimuli during learning. Human participants (males and females) encountered face-blend stimuli with unique first names and shared family names that indicated category membership. Participants were instructed to learn the full name for each face. Neural pattern classification and pattern similarity analyses were used to track category information in the brain. Results showed that stimulus category could be decoded during encoding across many frontal, parietal, and occipital regions. Furthermore, two stimuli from the same category were represented more similarly in the prefrontal cortex than two stimuli from different categories equated for physical similarity. These findings illustrate that a mere presence of category label can bias neural representations spontaneously during encoding to emphasize category-relevant information, even in the absence of explicit categorization demands and when category-irrelevant information remains relevant for task goals.
Stefania, Cait, and Dasa have a new paper in press with Psychonomic Bulletin and Review!
Ashby, S.R., Bowman, C.R. & Zeithamova, D. (in press). Perceived similarity ratings predict generalization success after traditional category learning and a new paired-associate learning task. Psychonomic Bulletin and Review, https://doi.org/10.3758/s13423-020-01754-3
Early online publication can be accessed HERE.
Continue reading “New paper published in Psychonomic Bulletin and Review”
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William presented his data at the 2018 symposium of the Apprenticeships in Science & Engineering (ASE) program. The title of his poster was Effects of Physical Similarity on Memory Generalization.
Sara presented her data at the SPUR symposium. The title of her poster was “Investigating the Effects of Perceiving Fear and Anger on Associative Memory”.
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Cait and Dasa have a new parer in press:
Bowman, C.R. & Zeithamova, D. (in press). Abstract memory representations in the ventromedial prefrontal cortex and hippocampus support concept generalization. Journal of Neuroscience.
We have published the dataset described in trial timing for multivariate pattern analysis in OpenfMRI. It is available here. This data was collected to investigate experimental design optimization for pattern-information approaches to fMRI data analysis. Participants were scanned while encoding images of animals and tools. There were 5 different stimulus presentation designs, and each participant completed to runs under each design. The designs varied in the number of trials and trial timing within fixed duration scans. Trial timing conditions with fixed onset-to-onset timing ranged from slow 12-s trials with two repetitions of each item to quick 6-s trials with four repetitions per item. We also tested a jittered version of the quick design with 4–8 s trials. After the scans, participants completed a memory test.
“Trial timing and pattern-information analyses of fMRI data”, a paper by Dasa, Alex, and Anisha will be published in Neuroimage.