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Enhancing Neuroprosthetics and Neurorobotics with Insights From Touch Mechanoreceptor Encoding in Humans
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**Enhancing neuroprosthetics and neurorobotics with insights from touch mechanoreceptor encoding in humans.**:
- Réf **ABG-129201**
- Sujet de Thèse
- 06/03/2025
- Contrat doctoral
- NeuroSchool, Aix-Marseille Université
- Lieu de travail- Marseille - Provence-Alpes-Côte d'Azur - France
- Intitulé du sujet- Enhancing neuroprosthetics and neurorobotics with insights from touch mechanoreceptor encoding in humans.
- Champs scientifiques- Psychologie, neurosciences
- Biologie
- Santé, médecine humaine, vétérinaire
- Mots clés- neuroscience, neurobiology, cognition, neural networks, brain, behavior, neurodegenerative diseases, ageing,
**Description du sujet**:
The NeuroSchool PhD Program of Aix-Marseille University (France) has launched its annual calls for international co-supervised PhDs.
This project is one of the two proposed projects. Check our website for details.
**_Objectives_**: The PhD aims to develop advanced neural decoding algorithms and feedback systems, bridging the gap between biological touch perception and artificial systems, to enhance the usability of neuroprosthetics and dexterity in robotics. We will develop decoding algorithms to interpret spiking patterns from single human mechanoreceptors. From this, we will implement real-time feedback systems that translate the tactile information into sensations, such as vibration or force, enhancing precision and usability by simulating natural touch.
**_Methods_**: Single unit recordings of mechanoreceptors from the median nerve of the hand, via microneurography in humans, will be obtained and modeled by adaptive machine learning. We will use different vibration frequencies and forces to modulate mechanoreceptor firing and relate this to intensity perception of the stimulation, to link neuronal firing with the judgement of the sensation.
**_Expected results_**: The data from modulating mechanoreceptor firing will give insights into how the main four types of touch receptor encode a range of vibration and pressure stimuli, which will be modeled to output standardized algorithms that represent such feedback. The developed neural decoding models will establish a new standard for real-time tactile feedback systems. This will enhance neuroprosthetics, where improved feedback will enable users to perform tasks with greater precision and naturalness, via electrical stimulation or mechanical stimulation of the stump. Robotic system improvements will allow human-like dexterity, to adapt robot grip and movements based on tactile data.
**_Feasibility_**: The project focuses solely on humans, where ethical approval is in place to via CPP ID-RCB: 2021-A01604-37 for microneurography and perception experiments (valid until 2033).
**Prise de fonction**:
- 01/10/2025
**Nature du financement**:
- Contrat doctoral
**Précisions sur le financement**:
- 3 years
**Présentation établissement et labo d'accueil**:
- NeuroSchool, Aix-Marseille Université
Within **Aix Marseille Université, NeuroMarseille**brings together 8 research laboratories and NeuroSchool, a graduate school in neuroscience, to increase the attractiveness of the university, international collaborations, interdisciplinarity, links with the clinical and industrial worlds and the integration of students into professional life.
Launched in July 2018, **NeuroSchool**unifies and harmonizes the training of the third year of the Bachelor of Life Sciences (Neuroscience track), the Master's and the PhD in Neuroscience.
**Site web**:
**Intitulé du doctorat**:
- Doctorat de neurosciences
**Pays d'obtention du doctorat**:
- France
**Etablissement délivrant le doctorat**:
- Aix Marseille Université
**Ecole doctorale**:
- Sciences de la vie et de la santé
**Thèse en cotutelle**:Oui
- **Pays d'obtention du doctorat en cotutelle**:
- France
**Etablissement délivrant le doctorat en cotutelle**:
- University of Bristol
- Master's degree from a non-French university in neuroscience or related field
- Fluent in English- 14/04/2025