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Punishment learning: from cells to circuits to behaviour

Punishment learning: from cells to circuits to behaviour
惩罚学习:从细胞到电路再到行为
批准号:
DP220100040
负责人:
Prof Gavan McNally
金额:
$41.79万
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2022
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2022-01-01 至 2024-12-31

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中文摘要
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英文摘要
This project aims to ask and answer fundamental questions about how risk and danger guide our learning and behaviour. It combines theoretically driven approaches from associative learning and experimental psychology with a state of the art technology platform for mapping and manipulating brain function. This project expects to provide new mechanistic knowledge, from cells to circuits to behaviour, about how punishment shapes our learning and behaviour. This should provide significant benefits including a new knowledge base advancing theories of associative learning as well as laying a new basic science platform for understanding how punishment contributes to learning and emotional deficits.
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Risky choices: From cells and circuits to computations and behaviour
  • 批准号:
    DP240100128
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $43.65万
  • 财政年份:
    2024
  • 负责人:
    Prof Gavan McNally
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How the brain resolves motivational conflict
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    DP200102576
  • 项目类别:
    Discovery Projects
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    $38.45万
  • 财政年份:
    2020
  • 负责人:
    Prof Gavan McNally
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The brain architecture of punishment
  • 批准号:
    DP190100482
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $38.3万
  • 财政年份:
    2019
  • 负责人:
    Prof Gavan McNally
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All-optical manipulation and recording of neural circuit activity
  • 批准号:
    LE180100012
  • 项目类别:
    Linkage Infrastructure, Equipment and Facilities
  • 资助金额:
    $27.64万
  • 财政年份:
    2018
  • 负责人:
    Prof Gavan McNally
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
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  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位:
煤矿安全人机混合群智感知任务的约束动态多目标Q-learning进化分配
  • 批准号:
    --
  • 项目类别:
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  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    吉建娇
  • 依托单位:
基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
  • 批准号:
    62003314
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2020
  • 负责人:
    沈剑
  • 依托单位: