Hippocampal memory prosthesis is a Brain Machine Interface device developed for restoring or enhancing memory functions. It is designed to circumvent damaged hippocampal tissue by re-establishing the ensemble coding of spike trains performed by a normal population of hippocampal neurons.
This project aims to capture and replicate the hierarchical and temporal complex nonlinear dynamics of hippocampal formation, ranging from biomolecular mechanisms to large network dynamics.
The main goal of the large-scale modeling project is to investigate how interactions of all neural properties affect the input transformation properties of the hippocampus and how these transformations enable it to play its crucial role in memory formation.
With an aim of stopping seizure for medically resistant epilepsy patients using electronic device, we develop a seizure model using human brain slices.
In this project, we collaborate with the Biomedical Microsystems Laboratory (BML) to develop a flexible multi-shanks electrode which uses Parylene C as a base and has multiple recording sites positioned according to the anatomical structure of cell body layers that conform to the curvy shape of the hippocampus.
This research addresses the hardware challenges of a biomimetic system and proposes a novel method for its practical implementation.