Presentation

Jenna Fradin

PhD student at ISIR lab in Paris

My research focus on Visual perception, Haptics perception and Visuo-haptic interactions

Cursus

Master degree

Cognitive and Behavioral Neurosciences

Université Paul Sabatier, Toulouse, France

2018-2020

Bachelor degree

Population Biology

Université de la Réunion, France

2015-2018
Me

Skills

Neurosciences

  • Advanced:Psychophysics, Brain physiology

  • Intermediate:Functional connectivity
  • Notions:EEG, MRI

    • Language

  • Advanced:French (native), English

  • Intermediate: German

    • Programming

  • Advanced: Python (Mother tongue), R

  • Intermediate: LateX

  • Notions: Matlab, HTML/CSS, Javascript

    • Data Science

  • Advanced: Statistical Analysis (Python, R), Data visualization

  • Intermediate: Machine Learning

  • Notions: Database Management (SQL)

    • Others

  • trail
  • free-diving
  • Photography
  • Aîkido

    • Publications

  • Fradin J, Haliyo S, Gueorguiev D. (2023). Humans Struggle to Perceive Congruence in Visuo-Haptic Texture. IEEE World Haptics Conference, Delft, NEtherlands, 2023
  • Fradin J, Gueorguiev D. (2022). Distinguishable Virtual Haptic Textures to Understand Multisensory Sensation. Eurohaptics, Hamburg, Germany 2022

    • Projects

    Textsense

    Study on multimodal integration

    Under the supervision of David Gueorguiev

  • Objective : Investigate the integrative mechanisms underlying visuo-haptic integration during surfaces exploration.
  • Methods: Design of of psychophysical experiments, developpement of haptics interfaces, analysis of contact mechanisms involved in natural surfaces exploration

    • Checkout

    MSc Internship

    Psychophysic study on Orientation selectivity

    Under the supervision of Laurent Perrinet

  • Objective : Explore the effect of a serie of visual parameters (spatial frequency, orientation bandwidth, bandwidth spatial frequency) on the acuity to discriminate orientation
  • Methods : Design of discriminative task using oriented texture called MotionClouds

    • Checkout

    Msc Internship

    Fitting a psychometrics curve using pyTorch

    Under the supervision of Laurent Perrinet

  • Methods : In psychophysics, subject responses constitute binary data. The researcher goal is to find the distribution that fits the best to our binary data. However, fitting the curve can be a difficult task. Participant can make carelessness errors that can biased the shape of the psychometric curve To limit this bias, we did a preliminary study with synthetic data and define a fittting method using pyTorch

    • Checkout and Laurent Perrinet sciblog

    Contact

    Information

    jennafradin@gmail.com
    Phone: (+33) 6-12-53-35-23
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