Neural Representations of Learned Quantitative Information in Drosophila Melanogaster

果蝇习得定量信息的神经表征

• 批准号: 2795587
• 金额: --
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2795587
• 关键词: Neural; Representations; Learned; Quantitative; Information; Neural; Representations; Learned; Quantitative; Information

The area I wish to focus on is the neurophysiology of memory and related diseases.In particular, I am interested in two fundamental questions. Firstly, the physicalstructures in the brain which underlie memory, and secondly the way in whichinformation is encoded by these structures.In order to research these questions, I hope to focus on the molecular biologicalprocesses involved in memory. Though great progress has been made inunderstanding memory since the concept of synaptic plasticity was first formulatedby Donald Hebb in 1949, including advances such as the discovery of long-term potentiation, a fuller understanding of how neuronal networks generate behaviourhas remained elusive.

我希望关注的领域是记忆和相关疾病的神经生理学。尤其是我对两个基本问题感兴趣。首先，大脑中记忆基础的物理结构，其次是通过这些结构编码的信息的方式。在研究这些问题的过程中，我希望专注于记忆中涉及的分子生物过程。尽管自1949年首次由唐纳德·希伯（Donald Hebb）制定了突触可塑性的概念以来，已经取得了巨大的不可思议，包括发现长期增强的进步，但对神经元网络如何产生行为的充分了解仍然难以捉摸。