Assessing the Role of Facial Symmetry and Asymmetry between Partners in Predicting Relationship Duration: A Pilot Deep Learning Analysis of Celebrity Couples

V Shavlokhova, A Vollmer, C Stoll, M Vollmer, GM Lang… - Symmetry, 2024 - mdpi.com
Prevailing studies on romantic relationships often emphasize facial symmetry as a factor in
partner selection and marital satisfaction. This study aims to explore the inverse of this …

Prediction error processing and sharpening of expected information across the face-processing hierarchy

A Garlichs, H Blank - Nature Communications, 2024 - nature.com
The perception and neural processing of sensory information are strongly influenced by
prior expectations. The integration of prior and sensory information can manifest through …

Linking faces to social cognition: The temporal pole as a potential social switch

A Dipani, N McNeal, NA Ratan Murty - Proceedings of the National …, 2024 - pnas.org
From recognizing loved ones in a crowded room to identifying colleagues at a conference,
face familiarity guides our social interactions with the world. This ability likely involves the …

Cross-movie prediction of individualized functional topography

G Jiahui, M Feilong, SA Nastase, JV Haxby, MI Gobbini - Elife, 2023 - elifesciences.org
Participant-specific, functionally defined brain areas are usually mapped with functional
localizers and estimated by making contrasts between responses to single categories of …

Comparison of the capacity of several machine learning tools to assist immunofluorescence-based detection of anti-neutrophil cytoplasmic antibodies

D Bertin, P Bongrand, N Bardin - International Journal of Molecular …, 2024 - mdpi.com
The success of artificial intelligence and machine learning is an incentive to develop new
algorithms to increase the rapidity and reliability of medical diagnosis. Here we compared …

Circuit design in biology and machine learning. I. Random networks and dimensional reduction

SA Frank - arXiv preprint arXiv:2408.09604, 2024 - arxiv.org
A biological circuit is a neural or biochemical cascade, taking inputs and producing outputs.
How have biological circuits learned to solve environmental challenges over the history of …

Neural computations in prosopagnosia

S Faghel-Soubeyrand, AR Richoz, D Waeber… - Cerebral …, 2024 - academic.oup.com
We report an investigation of the neural processes involved in the processing of faces and
objects of brain-lesioned patient PS, a well-documented case of pure acquired …

Disentangled deep generative models reveal coding principles of the human face processing network

P Soulos, L Isik - PLOS Computational Biology, 2024 - journals.plos.org
Despite decades of research, much is still unknown about the computations carried out in
the human face processing network. Recently, deep networks have been proposed as a …

Scale matters: Large language models with billions (rather than millions) of parameters better match neural representations of natural language

Z Hong, H Wang, Z Zada, H Gazula, D Turner… - bioRxiv, 2024 - biorxiv.org
Recent research has used large language models (LLMs) to study the neural basis of
naturalistic language processing in the human brain. LLMs have rapidly grown in …

Decoding face recognition abilities in the human brain

S Faghel-Soubeyrand, M Ramon, E Bamps… - PNAS …, 2024 - academic.oup.com
Why are some individuals better at recognizing faces? Uncovering the neural mechanisms
supporting face recognition ability has proven elusive. To tackle this challenge, we used a …