Sensorimotor processing, decision making, and internal states: towards a realistic multiscale circuit model of the larval zebrafish brain

感觉运动处理、决策和内部状态:建立幼虫斑马鱼大脑的真实多尺度电路模型

基本信息

  • 批准号:
    9444232
  • 负责人:
  • 金额:
    $ 379.75万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-09-25 至 2022-08-31
  • 项目状态:
    已结题

项目摘要

Project Summary - A realistic multiscale circuit model of the larval zebrafish brain The working group of the BRAIN initiative (BRAIN 2025, a Scientific Vision) identified “the analysis of circuits of interacting neurons as being particularly rich in opportunity, with potential for revolutionary advances”. They further pointed out that “truly understanding a circuit requires identifying and characterizing the component cells, defining their synaptic connections with one another, observing their dynamic patterns of activity as their circuit functions in vivo during behavior, and perturbing these patterns to test their significance. It also requires an understanding of the algorithms that govern information processing within a circuit and between interacting circuits in the brain as a whole”. We propose to generate a realistic multiscale circuit model of the larval zebrafish brain – the multiscale virtual fish (MVF), which is well aligned with the BRAIN initiative's guidelines. The model will be based on algorithms inferred from behavioral assays and it will span spatial ranges across three levels: from the nanoscale at the synaptic level, to the microscale describing local circuits, to the macroscale brain-wide activity patterns distributed across many regions. The model will be constrained and validated by optogenetic interrogation and sparse connectomics of identified circuit elements 1​ ,2​. The ultimate purpose is to explain and simulate the quantitative and qualitative nature of behavioral outputs in response to sensory inputs across various timescales, and to explore how these findings might integrate with parallel work in two other important behavioral model systems, ​ the ​Drosophila larva and the rat. Our prior U01 project achieved the first instantiation of this model, whereby we successfully dissected the optomotor response (OMR)1​ ​, where a larval zebrafish will turn and swim to match the direction of a whole-field visual stimulus ​3–5.​ We will build on this model by achieving three further aims: First, we will expand the OMR project with four additional ethologically relevant behaviors: phototaxis, rheotaxis, escape, and hunting. We will extract the precise algorithms underlying each behavior and develop a version of the circuit model to understand their neural implementation. Second, we will further refine the model to account for multimodal integration and decision making, events that naturally happen when conflicting stimuli driving different behaviors are presented simultaneously. For example, a fish might be driven to execute a left turn by whole field motion moving to the left (OMR), while simultaneously being induced to turn right by increased brightness on its right side (phototaxis). Third, we will examine how internal brain states, such as hunger or stress, influence and modulate the specific behaviors (Aim 1) or behavioral interactions (Aim 2). Implementation of neurochemical modulation into the framework of the MVF will be achieved through simulation of highly conserved neuromodulatory neurotransmitter systems such as serotonin, acetylcholine, epinephrine and dopamine. To uncover generalizable principles of circuit design and function, we will compare our findings with those from two other model systems, the fruit fly larva and the rat. This will serve to elucidate the rules, motifs and algorithms of neural circuit function that transcend the potential idiosyncrasies of any given model.
项目总结-一个真实的斑马鱼幼虫大脑的多尺度电路模型

项目成果

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会议论文数量(0)
专利数量(0)

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Florian Engert其他文献

Florian Engert的其他文献

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{{ truncateString('Florian Engert', 18)}}的其他基金

Genetic and neural mechanisms underlying emerging social behavior in zebrafish
斑马鱼新兴社会行为的遗传和神经机制
  • 批准号:
    10306905
  • 财政年份:
    2021
  • 资助金额:
    $ 379.75万
  • 项目类别:
Sensorimotor processing, decision making, and internal states: towards a realistic multiscale circuit model of the larval zebrafish brain
感觉运动处理、决策和内部状态:建立幼虫斑马鱼大脑的真实多尺度电路模型
  • 批准号:
    10241477
  • 财政年份:
    2017
  • 资助金额:
    $ 379.75万
  • 项目类别:
The Heart and the Mind: An Integrative Approach to Brain-Body Interactions in the Zebrafish
心脏和思想:斑马鱼脑体相互作用的综合方法
  • 批准号:
    10525427
  • 财政年份:
    2017
  • 资助金额:
    $ 379.75万
  • 项目类别:
The Heart and the Mind: An Integrative Approach to Brain-Body Interactions in the Zebrafish
心脏和思想:斑马鱼脑体相互作用的综合方法
  • 批准号:
    10686975
  • 财政年份:
    2017
  • 资助金额:
    $ 379.75万
  • 项目类别:
Admin Core
管理核心
  • 批准号:
    10686976
  • 财政年份:
    2017
  • 资助金额:
    $ 379.75万
  • 项目类别:
Sensorimotor processing, decision making, and internal states: towards a realistic multiscale circuit model of the larval zebrafish brain
感觉运动处理、决策和内部状态:建立幼虫斑马鱼大脑的真实多尺度电路模型
  • 批准号:
    9570757
  • 财政年份:
    2017
  • 资助金额:
    $ 379.75万
  • 项目类别:
Admin Core
管理核心
  • 批准号:
    10525428
  • 财政年份:
    2017
  • 资助金额:
    $ 379.75万
  • 项目类别:
What is going on in the fish's brain? Characterization and Modeling of Neural Dynamics (CNS and ANS and ICNS)
鱼的大脑里发生了什么?
  • 批准号:
    10686992
  • 财政年份:
    2017
  • 资助金额:
    $ 379.75万
  • 项目类别:
What is going on in the fish's brain? Characterization and Modeling of Neural Dynamics (CNS and ANS and ICNS)
鱼的大脑里发生了什么?
  • 批准号:
    10525434
  • 财政年份:
    2017
  • 资助金额:
    $ 379.75万
  • 项目类别:
The Heart and the Mind: An Integrative Approach to Brain-Body Interactions in the Zebrafish
心脏和思想:斑马鱼脑体相互作用的综合方法
  • 批准号:
    10786427
  • 财政年份:
    2017
  • 资助金额:
    $ 379.75万
  • 项目类别:

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