A hippocampus prosthesis is a type of cognitive prosthesis (a prosthesis implanted into the nervous system in order to improve or replace the function of damaged brain tissue). Prosthetic devices replace normal function of a damaged body part; this can be simply a structural replacement (e.g. reconstructive surgery or glass eye) or a ...

This paper describes the development of a cognitive prosthesis designed to restore the ability to form new long-term memories typically lost after damage to the hippocampus. The animal model used is delayed nonmatch-to-sample (DNMS) behavior in the ...

2022年9月6日 · Brain electrodes designed to mimic the hippocampus appear to boost the encoding of memories—and are twice as effective in people with poor memory. A unique form of brain stimulation appears to...

2011年6月17日 · Using a model created by the prosthetics research team led by Berger, the teams then went further and developed an artificial hippocampal system that could duplicate the pattern of interaction between CA3-CA1 interactions.

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.

2022年11月6日 · In particular, the mammalian extrahippocampal system (eHPCS) can guide spatial decision making while simultaneously encoding and processing spatial and contextual information. Like muZero, the eHPCS is also able to adjust contextual representations depending on the degree and significance of environmental changes and environmental cues.

2022年12月1日 · The exploration on hippocampal static mapping and its dynamic wiring can reveal important clues for developing artificial memory prosthesis. This is followed by introducing recent investigation of early-stage hippocampus-guided memory prosthesis.

2022年12月1日 · In this article, we start with briefly overviewing the recent cutting-edge hippocampus interrogation techniques, which target to preliminarily demystify its configuration and mechanism. We then proceed with exploring early-stage …

2018年4月6日 · From those patterns, Berger, together with USC biomedical engineer Dong Song, created a mathematical model that could predict how neurons in each subject’s hippocampus would fire during...

2022年11月7日 · We will show that the different components of the muZero model provide a framework for thinking about generalizable learning in the eHPCS, and that the evaluation of how transitions in cell representations occur between similar and distinct contexts can be informed by advances in artificial intelligence agents such as muZero.