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
基本信息
- 批准号:10686975
- 负责人:
- 金额:$ 371.9万
- 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 2027-08-31
- 项目状态:未结题
- 来源:
- 关键词:Adaptive BehaviorsAddressAlgorithmsAnimalsArticulationAutonomic ganglionAutonomic nervous systemBehaviorBehavior ControlBehavioralBehavioral AssayBehavioral ModelBiological AssayBrainCardiacCardiovascular systemCellsCentral Nervous SystemClassificationComputational algorithmCuesDataData SetDissectionElementsEnvironmentEventFatigueFeedbackFishesFrequenciesFunctional ImagingGenerationsGoalsHeartHomeostasisHungerImageInterneuronsInteroceptionKnowledgeLightMachine LearningMapsMeasurementMeasuresMediatingMethodsMindModelingMonitorMotivationMotorMotor NeuronsNervous SystemNeural InterconnectionNeuronsOrganOxygenPathway interactionsPhysiologicalPhysiologyPositioning AttributeProcessProtocols documentationReflex actionRegulationReportingResearchResolutionResourcesRewardsRoleSensorySeriesSynapsesSystemTestingTimeValidationWorkZebrafishautomated segmentationbehavioral responsecell typeconnectomeconnectome datadynamic systemexperienceexperimental studyflexibilityguided inquiryimaging studyinterestmind body interactionmind controlneuralneural circuitneural modelnoveloptogeneticspatch clampreceptorrespiratoryresponse
项目摘要
The heart and the mind: an integrative approach to brain-body interactions in the
zebrafish
Our current U19 has focused primarily on Exteroception, which can be defined as the accumulated sensory experience
originating from events in the outside world. However, all neural computation takes place in the context of the body,
which is subject to the dynamics of hunger, fatigue, motivation and diurnal cycles. The information that reaches the brain
from the organs and receptors inside of the body, summarized under the umbrella term of Interoception, is therefore
overlaid onto exteroceptive computations. This adds behavioral variability to any animal task, from changing vigor to
altering valence of rewards to vetoing responses altogether.
To better understand such embodied computation, we will first incorporate cardiac and respiratory variables that
dynamically report basic internal states to our standard behavioral classification methods, and we will include detailed
characterization and modeling of the autonomic and intracardiac nervous system in our functional imaging studies.
Finally, as a critical resource for the description and validation of the generated neural circuit models, we will create a
complete body-and-brain connectome of the larval zebrafish.
This research plan is aligned with the three levels of understanding articulated by David Marr more than thirty years ago,
who emphasized the importance of considering Evolutionary Principles, Algorithmic Representation and Hardware
Implementation as a unified and interconnected approach for understanding the brain. Following this framework, we first
try to isolate aspects of fish behavior that are adapted to their native environment and context. We next use a variety of
controlled behavioral assays to extract the algorithmic rules that govern the dynamics of modular sensorimotor
transformations, and that are augmented by knowledge about internal state changes as reflected by observed modulation of
cardiac and respiratory activity. To characterize the hardware implementation of these explicit and latent behavioral
algorithms, we propose to first measure cellular activity using brain-wide functional light imaging of the central, the
autonomic and the intracardiac nervous systems (CNS, ANS and ICNS). We next will use these comprehensive datasets to
generate realistic circuit models of the observed dynamics. These models will then guide a series of circuit dissection
experiments, such as optogenetic perturbations of specific cell types, targeted patch-clamp physiology and sparse
connectomics tracing, allowing us to validate, extend, and constrain our models. We note that this approach also affords us
the opportunity to discover new circuit elements and circuit motifs, and novel ways to implement computational
algorithms by the brain.
Another extension of our current U19 is the addition of a dynamical modeling framework for these behaviors, where
animals can interact flexibly with the environment, and where we consider multiple time scales of interaction. We believe
that this constitutes a different and perhaps ethologically more relevant approach when compared to the highly
constrained, simplified and repetitive challenges we used before. Further, this framework is well suited in characterizing
the continuous process of cardiac control and its interaction with behavioral modulation.
心灵:在脑体相互作用中的一种综合方法
斑马鱼
我们当前的U19主要集中于外观,这可以定义为累积的感官体验
起源于外界的事件。但是,所有神经计算都发生在身体的背景下,
受饥饿,疲劳,动机和昼夜周期的动态。到达大脑的信息
因此,从体内的器官和受体中,在跨越的伞上总结了
覆盖在外部感受性计算上。这增加了任何动物任务的行为可变性,从改变活力到
完全改变奖励的价为否决反应。
为了更好地理解这种体现的计算,我们将首先结合心脏和呼吸变量
动态地向我们的标准行为分类方法报告基本的内部状态,我们将包括详细信息
在我们的功能成像研究中,自主神经和心脏内神经系统的表征和建模。
最后,作为描述和验证生成的神经电路模型的关键资源,我们将创建一个
幼虫斑马鱼的完整身体和脑连接。
该研究计划与三十多年前的大卫·马尔(David Marr)所阐明的三个理解水平保持一致,
他强调了考虑进化原理,算法表示和硬件的重要性
实施是一种理解大脑的统一和相互联系的方法。遵循此框架,我们首先
尝试隔离适合其本地环境和环境的鱼类行为方面。接下来,我们使用各种各样的
受控行为测定以提取控制模块化示例动力学的算法规则
转化,以及关于内部状态变化的知识所增强的,这反映了观察到的调制
心脏和呼吸活动。表征这些明确和潜在行为的硬件实现
算法,我们建议使用中央的脑部范围功能光成像,首先测量细胞活性,
自主神经和心脏内神经系统(CNS,ANS和ICN)。接下来,我们将使用这些综合数据集
生成观察到的动力学的现实电路模型。然后,这些模型将指导一系列电路解剖
实验,例如特定细胞类型的光遗传学扰动,靶向贴夹生理和稀疏
连接组学跟踪,使我们能够验证,扩展和限制我们的模型。我们注意到,这种方法也为我们提供了
发现新电路元件和电路图案的机会,以及实施计算的新方法
大脑算法。
我们当前U19的另一个扩展是为这些行为增加动态建模框架,其中
动物可以灵活地与环境相互作用,以及我们考虑多个时间尺度的相互作用。我们相信
与高度相比
我们之前使用过的受约束,简化和重复的挑战。此外,该框架非常适合特征
心脏控制的连续过程及其与行为调制的相互作用。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Florian Engert其他文献
Florian Engert的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ 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:
$ 371.9万 - 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:
9444232 - 财政年份:2017
- 资助金额:
$ 371.9万 - 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:
$ 371.9万 - 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:
$ 371.9万 - 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:
$ 371.9万 - 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:
$ 371.9万 - 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:
$ 371.9万 - 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:
$ 371.9万 - 项目类别:
相似国自然基金
时空序列驱动的神经形态视觉目标识别算法研究
- 批准号:61906126
- 批准年份:2019
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
本体驱动的地址数据空间语义建模与地址匹配方法
- 批准号:41901325
- 批准年份:2019
- 资助金额:22.0 万元
- 项目类别:青年科学基金项目
大容量固态硬盘地址映射表优化设计与访存优化研究
- 批准号:61802133
- 批准年份:2018
- 资助金额:23.0 万元
- 项目类别:青年科学基金项目
IP地址驱动的多径路由及流量传输控制研究
- 批准号:61872252
- 批准年份:2018
- 资助金额:64.0 万元
- 项目类别:面上项目
针对内存攻击对象的内存安全防御技术研究
- 批准号:61802432
- 批准年份:2018
- 资助金额:25.0 万元
- 项目类别:青年科学基金项目
相似海外基金
Contribution of non-canonical dopamine pathways to model-based learning
非典型多巴胺通路对基于模型的学习的贡献
- 批准号:
10607923 - 财政年份:2023
- 资助金额:
$ 371.9万 - 项目类别:
A Micro-Randomized Trial to Optimize Just-in-Time Adaptive Intervention for Binge Eating & Weight-related Behaviors
优化暴饮暴食即时适应性干预的微随机试验
- 批准号:
10501064 - 财政年份:2022
- 资助金额:
$ 371.9万 - 项目类别:
A Micro-Randomized Trial to Optimize Just-in-Time Adaptive Intervention for Binge Eating & Weight-related Behaviors
优化暴饮暴食即时适应性干预的微随机试验
- 批准号:
10670994 - 财政年份:2022
- 资助金额:
$ 371.9万 - 项目类别:
The virtual rodent: a platform to study the artificial and biological control of natural behavior
虚拟啮齿动物:研究自然行为的人工和生物控制的平台
- 批准号:
10540574 - 财政年份:2022
- 资助金额:
$ 371.9万 - 项目类别:
The Virtual Rodent: A Platform to Study the Artificial and Biological Control of Natural Behavior
虚拟啮齿动物:研究自然行为的人工和生物控制的平台
- 批准号:
10633144 - 财政年份:2022
- 资助金额:
$ 371.9万 - 项目类别: