CRCNS: Circuit dynamics in zebrafish larvae: mechanisms, modulation, and mathematical modeling of network topology and attractor dynamics

CRCNS：斑马鱼幼虫的电路动力学：网络拓扑和吸引子动力学的机制、调制和数学建模

• 批准号: 10266158
• 负责人: Carina Curto
• 金额: $ 19.63万
• 依托单位: PENNSYLVANIA STATE UNIVERSITY, THE
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-23 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10266158
• 关键词: 3-Dimensional; Animals; Architecture; Brain; Brain region; Calcium; Cues; Custom; Data Analyses; Data Set; Disease; Environment; Epilepsy; Exhibits; Functional disorder; Generations; Image; Investigation; Larva; Learning; Light; Mathematics; Mental disorders; Methods; Microscopy; Modeling; Monitor; Motor; Nervous system structure; Neurons; Neurosciences; Optics; Organism; Pattern; Periodicity; Physiological; Population; Process; Property; Recurrence; Research; Research Proposals; Resolution; Role; Schizophrenia; Sensory; Structure; Synapses; Tail; Tectum Mesencephali; Testing; Transgenic Organisms; Zebrafish; calcium indicator; cell type; cognitive function; dynamic system; experience; experimental study; insight; interdisciplinary approach; mathematical methods; mathematical model; motor behavior; multidisciplinary; network models; neural circuit; neural model; neuronal circuitry; novel; optogenetics; skills; spatiotemporal; superior colliculus Corpora quadrigemina; temporal measurement; two-photon

CRCNS US-French Research Proposal: Neuronal circuit dynamics in zebrafish larvae: mechanisms, modulation, and mathematical modeling of network topology and attractor dynamics. Attractor neuronal circuits are recurrently connected networks whose temporal dynamics converge and settle to stable patterns. Theoretical attractor models have been used to explain a variety of cognitive functions and motor behaviour. Despite their importance for brain computations, a detailed description of physiological properties of these neuronal circuits is still missing; and the mechanisms underlying the emergence of attractor-like dynamics remain elusive. The Sumbre lab has recently shown that the optic tectum of the zebrafish larva is functionally organized according to neuronal assemblies (groups of highly correlated neurons). These assemblies exhibit all-or- none synergistic facilitation and competitive reciprocal inhibition generating single “winners.” Both are features of attractor dynamics. In this project, the PIs will combine the experimental expertise of the Sumbre lab to monitor and analyze neuronal circuit dynamics in the zebrafish larva, and the mathematical skills of the Curto lab, applied to the theoretical investigation of attractor dynamics. More specifically, the Sumbre lab will use light-sheet microscopy and optogenetics (jGCaMP7f and reaChR) to monitor and manipulate the population activity of neuronal attractor circuits in the zebrafish larva. This approach will allow the detailed description of the physiological properties of neuronal attractor circuits (e.g. cell-type description, functional properties of all single neurons, etc.), and to investigate the modulation of the attractor dynamics by sensory experience and the internal state of the brain. The Curto lab will use topological data analysis (TDA) methods for the analysis of the acquired datasets to investigate higher-order correlations and the structure of functional connectivity within neuronal attractor circuits. In addition, mathematical modeling will reveal the neuronal mechanisms underlying the circuit’s attractor dynamics and the modulation of these dynamics. Principles learned from these theoretical approaches will then be tested experimentally in the Sumbre lab, using optogenetics. This multidisciplinary and complementary project will bring novel insights on the principles dictating the generation of neuronal attractor circuits and illuminate their functional role in the brain computations.

CRCNS美国-法国研究提案：斑马鱼幼体的神经回路动力学：机制、调节和