MRC Transition Support. CDA. Jill O'Reilly.

MRC 过渡支持。

基本信息

  • 批准号:
    MR/T031344/1
  • 负责人:
  • 金额:
    $ 45.61万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Fellowship
  • 财政年份:
    2020
  • 资助国家:
    英国
  • 起止时间:
    2020 至 无数据
  • 项目状态:
    已结题

项目摘要

My research is concerned with how our brains build models of the environment in which we live, and use those models to make decisions and plan behaviour. My research group's approach to understanding the brain is to use computational modelling. We develop experimental games that simulate problems people face in the real world, such as choosing between two options that cannot be clearly seen. Then we code algorithms (implemented in computer programmes) that solve the tasks in different ways, and test which algorithm is the best fit to human behaviour. Next, we use our knowledge of brain circuits to work out how these algorithms could be computed by populations of neurons in a real brain. I measure brain activity in humans using non-invasive imaging techniques such as MRI. Some of my models also make predictions about how different brain chemicals (neurotransmitters and neuromodulators) affect the processing of information by the brain. To test these hypotheses, I will give healthy volunteers small doses of drugs that affect neurotransmitter concentrations and observe the resulting changes in their behaviour and brain activity.A major technical challenge for my research programme is that we cannot simply record the activity of neurons in the human brain, without opening up the skull. To test our hypotheses in non-invasive experiments, we need work out how the modelled activity of neurons will be reflected in signals we can measure using non-invasive techniques like brain scanning (functional magnetic resonance imaging or magnetoencephalography). During the last four years, we have spent most of our time on solving this problem and are now confident that we have good models. However, we have not yet been able to complete the planned drug studies, which require a lot of slow and careful work to be done safely.I am now applying for additional funding for my research programme to help me complete the proposed research. The bulk of the funding is to retain a key staff member in my team. Some of the funding is to buy out a percentage of my time from teaching so I am able to spend more time focussing on research and supporting my team.
我的研究关注的是我们的大脑如何建立我们生活的环境模型,并使用这些模型来做出决定和计划行为。我的研究小组理解大脑的方法是使用计算建模。我们开发的实验游戏模拟人们在真实的世界中面临的问题,比如在两个看不清楚的选项中做出选择。然后,我们编写算法(在计算机程序中实现),以不同的方式解决任务,并测试哪种算法最适合人类行为。接下来,我们将利用我们对大脑回路的了解,研究这些算法是如何通过真实的大脑中的神经元群体来计算的。我使用MRI等非侵入性成像技术测量人类的大脑活动。我的一些模型还预测了不同的大脑化学物质(神经递质和神经调质)如何影响大脑对信息的处理。为了验证这些假设,我将给健康的志愿者服用小剂量的药物来影响神经递质的浓度,并观察他们的行为和大脑活动的变化。我的研究计划的一个主要技术挑战是,我们不能简单地记录人类大脑中神经元的活动,而不打开头骨。为了在非侵入性实验中验证我们的假设,我们需要弄清楚神经元的模拟活动如何反映在我们可以使用非侵入性技术(如大脑扫描(功能性磁共振成像或脑磁图))测量的信号中。在过去的四年里,我们花了大部分时间来解决这个问题,现在我们有信心我们有好的模型。但我们至今未能完成计划中的药物研究,这些研究需要大量缓慢而细致的工作才能安全地完成,我现在正在为我的研究计划申请额外拨款,以帮助我完成拟议的研究。大部分资金是为了留住我团队中的一名关键工作人员。一些资金是购买我的教学时间的百分比,所以我能够花更多的时间专注于研究和支持我的团队。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The representation of priors and decisions in parietal cortex
顶叶皮层先验和决策的表示
  • DOI:
    10.1101/2021.05.03.442155
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Marshall T
  • 通讯作者:
    Marshall T
Dissociable mechanisms of information sampling in prefrontal cortex and the dopaminergic system
  • DOI:
    10.1016/j.cobeha.2021.04.005
  • 发表时间:
    2021-10
  • 期刊:
  • 影响因子:
    5
  • 作者:
    P. Kaanders;Keno Juechems;J. O’Reilly;L. Hunt
  • 通讯作者:
    P. Kaanders;Keno Juechems;J. O’Reilly;L. Hunt
The representation of priors and decisions in the human parietal cortex.
  • DOI:
    10.1371/journal.pbio.3002383
  • 发表时间:
    2024-01
  • 期刊:
  • 影响因子:
    9.8
  • 作者:
  • 通讯作者:
Defensive freezing and its relation to approach-avoidance decision-making under threat.
  • DOI:
    10.1038/s41598-021-90968-z
  • 发表时间:
    2021-06-08
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Klaassen FH;Held L;Figner B;O'Reilly JX;Klumpers F;de Voogd LD;Roelofs K
  • 通讯作者:
    Roelofs K
Medial Frontal Cortex Activity Predicts Information Sampling in Economic Choice.
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Jill O'Reilly其他文献

Jill O'Reilly的其他文献

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{{ truncateString('Jill O'Reilly', 18)}}的其他基金

Inhibitory engrams in learning and memory consolidation
学习和记忆巩固中的抑制性印迹
  • 批准号:
    MR/W01971X/1
  • 财政年份:
    2022
  • 资助金额:
    $ 45.61万
  • 项目类别:
    Research Grant
Prediction mechanisms of the brain: a computational taxonomy
大脑的预测机制:计算分类法
  • 批准号:
    MR/L019639/1
  • 财政年份:
    2014
  • 资助金额:
    $ 45.61万
  • 项目类别:
    Fellowship
How does the brain combine historical knowledge and online processing in decision making?
大脑如何将历史知识和在线处理结合起来进行决策?
  • 批准号:
    G0802459/1
  • 财政年份:
    2009
  • 资助金额:
    $ 45.61万
  • 项目类别:
    Fellowship

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