Neural Representations of Learned Quantitative Information in Drosophila Melanogaster
Neural Representations of Learned Quantitative Information in Drosophila Melanogaster
批准号:
2795587
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2021
资助国家:
英国
项目状态:
未结题
起止时间:
2021 至 --
中文摘要
我想关注的领域是记忆和相关疾病的神经生理学。我特别感兴趣的是两个基本问题。首先是大脑中作为记忆基础的物理结构,其次是这些结构对信息进行编码的方式。为了研究这些问题,我希望把重点放在涉及记忆的分子生物学过程上。尽管自1949年Donald Hebb首次提出突触可塑性的概念以来,在理解记忆方面已经取得了很大的进展,包括发现了长时程增强等进展,但对神经元网络如何产生行为的更全面的理解仍然难以捉摸。
英文摘要
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.
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