13 Décembre – Thesis defense - Farad Khoyratee
10 h Amphi J.P. Dom - laboratory IMS (Talence campus)
Design of a modular biomimetic neural network for the study of neurodegenerative diseases.
Neuroscience has been the subject of many studies and has seen new fields of research emerge where technology and biology can be used to find solutions to understand and cure neurological diseases. These illness affect millions of people around the world. The World Health Organization (WHO) predicts a 3 fold increase in the number of patients in the next 30 years.
Advances in neuroscience have led to the development of models describing the physiology of neurons and also methods of hardware implementation of these models. Among these methods, neuroprosthesis are devices for restoring certain neuronal functions through communication with the nervous system.
This thesis work show that the realization of the biomimetic system was carried out thanks to digital components such as Field Programmable Gate Array (FPGA) which allows to benefit from the flexibility and speed of prototyping of these technologies. The real-time platform of biologically realistic neural networks developed is configurable. It becomes a neuro-computational tool allowing the realization of bio-hybrid experiments for the study of the behavior of the nervous system and more particularly of the neurodegenerative diseases.
This work was placed in a larger context. The FPGA digital operator library developed for the platform has been reused for the study of dynamics similar to neural networks such as biochemical network simulation or combinatorial optimization problem solving.