J. P. Renoult

Background-matching patterns are attractive: support for a processing bias

The paper tests if humans prefer background-matching visual patterns due to a processing bias, finding support for this preference in an online experiment with over 1700 participants.

Using Neural Style Transfer to study the evolution of animal signal design: A case study in an ornamented fish

This study uses neural style transfer to test if fish prefer body patterns similar to their habitat, finding support for the processing bias hypothesis.

Primate mothers promote proximity between their offspring and infants who look like them

The paper shows that primate mothers promote proximity between their offspring and infants who look similar, using facial resemblance as a mechanism for social bonding.

Deep neural network and field experiments reveal how transparent wing windows reduce detectability in butterflies

The paper tests how transparent wing zones affect moth detectability by birds and DNNs, finding border-touching transparency reduces detectability but size has no effect, with DNNs showing mixed results.

Deep learning-based methods for individual recognition in small birds

This paper develops deep learning methods for individual bird recognition in both captive and wild settings, demonstrating their effectiveness with three bird species.

Same father, same face: deep-learning reveals paternally-derived signalling of kinship in a wild primate

The paper uses deep learning to show that facial similarity in mandrills signals paternally-derived kinship, supporting genomic imprinting as a mechanism for kin recognition.

Looking for mimicry in a snake assemblage using deep learning

This study uses deep learning to quantify Batesian mimicry in Western Palearctic snakes, finding 8% of non-venomous species are potential mimics.

Sexual signals of fish species mimic the spatial statistics of their habitat: evidence for processing bias in animal signal evolution

The paper finds that male darter fish patterns correlate with habitat spatial statistics, suggesting environmental influence on sexual signal evolution.

Modelling the Perception of Colour Patterns in Vertebrates with HMAX

This paper introduces HMAX and sparse-HMAX models for studying pattern perception in vertebrates, showing they outperform existing methods in estimating face similarities in nonhuman primates.