Cognitive and Computational Neuroscience at UCSC
Welcome to the Samaha Lab
Our lab uses psychophysics and computational modeling in concert with tools from cognitive neuroscience to measure and manipulate the human brain. We seek to understand the neural basis of visual consciousness, attention, perceptual decision making, metacognition, and working memory, and have a particular interest in the role of neural oscillations in these domains.
We are housed within the Department of Psychology at the University of California, Santa Cruz.
"Confidence Database" paper accepted in Nature Human Behavior
We are thrilled to be part of a new resource for the community working on confidence and decision making. As part of a multi-site initiative led by Doby Rahnev, a new paper describing a database of confidence experiments with over 8,700 participants has just been accepted at Nature Human Behavior. We contributed some of our datasets on perceptual estimation and confidence in perception and short-term memory.
Data and code are here (https://osf.io/s46pr/)
Pre-print is here (https://psyarxiv.com/h8tju)
The database is still accepting experiments. Consider contributing!
STEM Diversity Poster Session
Undergraduate researchers Lleymi Martinez (right) and Olenka Graham Castaneda (left) present their work in the lab looking at neural correlates of subjective confidence in motion perception. We used a novel paradigm that controls for objective accuracy in motion direction discrimination but leads to changes in subjective confidence. Under these conditions, it seems like late components of the event-related potential - which have previously been associated with confidence under non-performance matched conditions - still tracks subjective reports of confidence!
2019 UCSC STEM Diversity poster faire
New Paper in eLife!
Iemi et al find that prestimulus neural oscillations have opposite effects on the early and late visual-evoked response. We found suppression of the C1 and N1 ERP component by prestimulus alpha- and beta-band power, as predicted by functional inhibition theories of low-frequency oscillations. Interestingly, however, the same prestimulus oscillations led to enhanced late (>200 ms) ERP components, which we can explain by a baseline shift mechanism (caused by modulation of oscillations with non-zero mean). We hope this paper adds to the discussion about the functional role of alpha/beta oscillations and the neural generators of ERPs!