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.
心与心:对脑-体相互作用的综合方法
斑马鱼
我们目前的U19主要集中在外感,这可以被定义为积累的感官体验
源自外部世界的事件。然而,所有的神经计算都发生在身体的环境中,
其受饥饿、疲劳、动力和昼夜周期的动态影响。到达大脑的信息
从器官和感受器内的身体,总结下的总括术语内感受,因此,
叠加在外感受计算上这增加了任何动物任务的行为变异性,从改变活力到
改变奖励的效价来完全否决反应。
为了更好地理解这种具体的计算,我们将首先纳入心脏和呼吸变量,
动态报告基本的内部状态,我们的标准行为分类方法,我们将包括详细的
在我们的功能成像研究中,自主神经和心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
完整的斑马鱼幼鱼体脑连接体。
这项研究计划与三十多年前大卫马尔阐述的三个层次的理解是一致的,
他强调了考虑进化原理、数学表示和硬件的重要性
实现作为理解大脑的统一和相互关联的方法。根据这一框架,我们首先
试图分离出鱼类行为的各个方面,以适应它们的原生环境和背景。我们接下来使用各种
受控行为分析,以提取控制模块化感觉运动动力学的算法规则,
转换,并且通过关于内部状态变化的知识来增强,如通过观察到的调制所反映的,
心脏和呼吸活动。为了表征这些显式和潜在行为的硬件实现,
算法,我们建议首先测量细胞活动使用全脑功能光成像的中央,
自主神经系统和心内神经系统(CNS、ANS和ICNS)。接下来,我们将使用这些全面的数据集,
生成所观察到的动态的真实电路模型。这些模型将指导一系列的电路解剖
实验,如特定细胞类型的光遗传学扰动,靶向膜片钳生理学和稀疏
连接组学追踪,使我们能够验证、扩展和约束我们的模型。我们注意到,这一办法还使我们能够
发现新的电路元件和电路图案的机会,以及实现计算的新方法,
大脑的算法。
我们当前U19的另一个扩展是为这些行为添加了动态建模框架,其中
动物可以灵活地与环境互动,我们考虑多个时间尺度的互动。我们认为
这构成了一种不同的,也许在行为学上更相关的方法,
我们以前使用的受限的、简化的和重复的挑战。此外,该框架非常适合于表征
心脏控制的连续过程及其与行为调节的相互作用。
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)
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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:
$ 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:
10686992 - 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:
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:
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