Pauline Ducouret

ORCID: 0000-0003-4768-8079
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About
Contact & Profiles
Research Areas
  • Animal Behavior and Reproduction
  • EEG and Brain-Computer Interfaces
  • Animal Vocal Communication and Behavior
  • Epilepsy research and treatment
  • Advanced Memory and Neural Computing
  • Primate Behavior and Ecology
  • Blind Source Separation Techniques
  • Circadian rhythm and melatonin
  • Marine animal studies overview
  • Functional Brain Connectivity Studies
  • Biochemical Analysis and Sensing Techniques
  • Metabolism and Genetic Disorders
  • Advanced Neural Network Applications
  • melanin and skin pigmentation
  • Pharmacological Effects and Toxicity Studies
  • Plant and animal studies
  • Vagus Nerve Stimulation Research
  • Neuroscience and Neural Engineering
  • Evolutionary Game Theory and Cooperation

University of Lausanne
2017-2025

University Hospital of Lausanne
2023-2024

Abstract Electroencephalography (EEG) is widely used to monitor epileptic seizures, and standard clinical practice consists of monitoring patients in dedicated epilepsy units via video surveillance cumbersome EEG caps. Such a setting not compatible with long-term tracking under typical living conditions, thereby motivating the development unobtrusive wearable solutions. However, devices present challenges fewer channels, restricted computational capabilities, lower signal-to-noise ratio....

10.1038/s41598-024-52551-0 article EN cc-by Scientific Reports 2024-02-05

Abstract Objective To develop and validate a wrist‐worn accelerometer‐based, deep‐learning tunable algorithm for the automated detection of generalized or bilateral convulsive seizures (CSs) to be integrated with off‐the‐shelf smartwatches. Methods We conducted prospective multi‐center study across eight European epilepsy monitoring units, collecting data from 384 patients undergoing video electroencephalography (vEEG) three dimensional (3D)–accelerometer sensor. developed an ensemble‐based...

10.1111/epi.18406 article EN cc-by-nc-nd Epilepsia 2025-04-23

The long-term, continuous analysis of electroencephalography (EEG) signals on wearable devices to automatically detect seizures in epileptic patients is a high-potential application field for deep neural networks, and specifically transformers, which are highly suited end-to-end time series processing without handcrafted feature extraction. In this work, we propose small-scale transformer detector, the EEGformer, compatible with unobtrusive acquisition setups that use only temporal channels....

10.1109/tbcas.2024.3357509 article EN cc-by IEEE Transactions on Biomedical Circuits and Systems 2024-01-23

Regulation of melanin-based pigmentation is complex, involving multiple genes. Because different genes can contribute to the same phenotype, identified in model organisms may not necessarily apply wild species. In barn owl (Tyto alba), ventral plumage colour ranges from white rufous, with genetic variation melanocortin 1 receptor gene (MC1R) accounting for at least a third this variation. present study, we used transcriptomic data compare expression profiles growing feathers nestlings MC1R...

10.1111/pcmr.70001 article EN cc-by Pigment Cell & Melanoma Research 2025-02-05

Epilepsy is a prevalent neurological disorder that affects millions of individuals globally, and continuous monitoring coupled with automated seizure detection appears as necessity for effective patient treatment. To enable long-term care in daily-life conditions, comfortable smart wearable devices long battery life are required, which turn set the demand resource-constrained energy-efficient computing solutions. In this context, development machine learning algorithms faces challenge...

10.1109/biocas58349.2023.10388554 article EN 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) 2023-10-19

Kin selection and reciprocation of biological services are distinct theories invoked to explain the origin evolutionary maintenance altruistic cooperative behaviors. Although these behaviors not considered be mutually exclusive, cost-benefit balance behaving altruistically or cooperating reciprocally conditions promoting a switch between such different strategies have rarely been tested. Here, we examine association allofeeding, allopreening, vocal solicitations in wild barn owl (Tyto alba)...

10.1086/709106 article EN The American Naturalist 2020-03-24

To resolve conflicts over limited resources, animals often communicate about their motivation to compete. When signals are transient, the resolution of may be achieved after an interactive process, with each contestant adjusting its signalling level according rival's behaviour. Unfortunately, importance real-time signal adjustment in conflict remains understudied, especially using experimental approaches. Here we developed a novel "automatic playback" that interacts live individual. It...

10.3389/fevo.2019.00351 article EN cc-by Frontiers in Ecology and Evolution 2019-09-20

Abstract In animal communication, signal loudness is often ignored and seldom measured. We used a playback experiment to examine the role of vocal (i.e., sound pressure level) in sibling communication nestling barn owls Tyto alba . this species, siblings vocally negotiate among each other for priority access parental food resources. Call rate call duration play key roles system, with most nestlings deterring their from competing item next delivered by parents. Here, we broadcast calls at...

10.1111/eth.12612 article EN Ethology 2017-06-01

Epilepsy is a prevalent neurological disorder that affects millions of individuals globally, and continuous monitoring coupled with automated seizure detection appears as necessity for effective patient treatment. To enable long-term care in daily-life conditions, comfortable smart wearable devices long battery life are required, which turn set the demand resource-constrained energy-efficient computing solutions. In this context, development machine learning algorithms faces challenge...

10.48550/arxiv.2309.07135 preprint EN other-oa arXiv (Cornell University) 2023-01-01
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