Géza Gergely Ambrus

Lecturer at the Department of Psychology (@Bournemouth_Psy), Bournemouth University (@bournemouthuni)
@[email protected]

[Géza Gergely Ambrus @GGAmbrus]

Our paper on the shared neural dynamics of facial expression processing is now published in Cognitive Neurodynamics. https://t.co/hVsvWhyca8

[Géza Gergely Ambrus @GGAmbrus]

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

[Géza Gergely Ambrus @GGAmbrus]

Our paper on the shared neural dynamics of facial expression processing is now published in Cognitive Neurodynamics. https://t.co/hVsvWhyca8

[Géza Gergely Ambrus @GGAmbrus]

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.

[Géza Gergely Ambrus @GGAmbrus]

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

[Géza Gergely Ambrus @GGAmbrus]

New #EEG #MVPA paper on the shared neural codes of recognition memory, now out in @SciReports
https://t.co/3EZLP4SmTK

[Géza Gergely Ambrus @GGAmbrus]

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.

[Cafe-Sci Bournemouth @CafeSciBmouth]

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

[Géza Gergely Ambrus @GGAmbrus]

The thread by Alexia ⬇️
https://t.co/bqbfFJSvVa

[Alexia Dalski @AlexiaDalski]

New preprint by Géza Gergely Ambrus (@GGAmbrus), Gyula Kovács (@gkovacs1965) and me! 🥳In it, we explore if semantic information is necessary for shared face-familiarity signals to emerge. Feedback is welcome! 🧵 @AcademicEEG #FacePerception #EEG #MVPA #MachineLearning

[Géza Gergely Ambrus @GGAmbrus]

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

[Géza Gergely Ambrus @GGAmbrus]

A short summary from Alexia 👇
https://t.co/8mO45oVUeP

[Alexia Dalski @AlexiaDalski]

New preprint by @GGAmbrus, @WieseHolger, @gkovacs1965 and me! In it, we used cross-experiment #MVPA to track representational dynamics across different task demands @AcademicEEG #FacePerception #EEG
https://t.co/WXC67tWbGE 🥳🧵1/7

[Géza Gergely Ambrus @GGAmbrus]

Our latest #EEG #MVPA paper (w/ @AlexiaDalski, @gkovacs1965 & @WieseHolger) is now online!
How does the face-familiarity signal evolve when lying about knowing a person? We used cross-experiment classification to investigate.
@AcademicEEG #FacePerception
https://t.co/dtL0MqFLXs

[NASA Webb Telescope @NASAWebb]

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.

[Géza Gergely Ambrus @GGAmbrus]

Our new preprint is now out in the wild! Read about it from @AlexiaDalski! 👇https://t.co/JWt2EpR2ST

[Alexia Dalski @AlexiaDalski]

New preprint by @GGAmbrus, @WieseHolger, @gkovacs1965 and me! In it, we used cross-experiment #MVPA to track representational dynamics across different task demands @AcademicEEG #FacePerception #EEG
https://t.co/WXC67tWbGE 🥳🧵1/7

[Géza Gergely Ambrus @GGAmbrus]

Huge thanks for everyone involved in this project!

[Géza Gergely Ambrus @GGAmbrus]

In a new paper by @Chenglin_105, @mikeburton47, @gkovacs1965 and me, now out in @CORTEXjournal, we show that the 400 to 600 ms post-stimulus window is sensitive to the degree of face familiarity. @AcademicEEG #FacePerception #EEG #MVPA
https://t.co/Q9RKewPFgv

[Géza Gergely Ambrus @GGAmbrus]

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.

[Géza Gergely Ambrus @GGAmbrus]

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

[Alexia Dalski @AlexiaDalski]

New preprint by Géza Gergely Ambrus (@GGAmbrus), Gyula Kovács (@gkovacs1965) and me! 🥳In it, we explore if semantic information is necessary for shared face-familiarity signals to emerge. Feedback is welcome! 🧵 @AcademicEEG #FacePerception #EEG #MVPA #MachineLearning