New paper from our lab, with Berfin Ozdemir, out now in Brain Research. We investigated the neuraldynamics of encoding and recognition memory across different visual stimuli using EEG and multivariate analysis. https://t.co/DZLfmRbXki
Our new preprint on shared neural dynamics in facial expression processing, co-authored with Madeline Ely!
We describe #EEG patterns that distinguish facial expressions shared across observers.
We found that emotional facial expression processing appears independent of low-level image properties and features from a neural network trained on face-identity recognition. Moreover, face-identity and face-sex information is strongest for angry faces.
https://t.co/sS8rCp7kvR
Mind-Reading machines? Looking forward to speaking about the science of decoding thoughts at The Black Cherry, Boscombe on Tuesday, May 2, 6:30-8:00 PM.
Join us on Tues 2 May to discover the latest advances in neuroscience and the possibility of creating machines that can read human minds. We'll explore how machine learning algorithms could decode brain activity and reconstruct subjective experiences https://t.co/2vrcR766Tt
In our new #EEG - #MVPA paper (w/ @AlexiaDalski & @gkovacs1965) we investigate face-familiarity without semantic information, using cross-experiment classification. Now online in Brain Structure and Function!
@AcademicEEG#FacePerception
https://t.co/vsoA3d1p6H
Check out the bright waves, swirls, and vortices in Jupiter’s atmosphere — as well as the dark ring system, one million times fainter than the planet! Two moons of Jupiter, including one that’s only about 12 miles (20 km) across, are on the left.
Our results show that both RT and questionnaire data correlated with cross-classification performance – starting at ~200ms when personally familiar and the participants’ own faces were included, and between 400 and 600ms for celebrity faces only.
In our new preprint we show that neural patterns of shared face familiarity emerge for purely perceptually familiarized faces, no semantic information required.
@AlexiaDalski has the thread ⬇️
https://t.co/oeCs0mBC4v