The assembly of population coding networks
The assembly of population coding networks
批准号:
10668566
负责人:
BING YE
金额:
$39.45万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-04-01 至 2028-02-29
关键词:
AbdomenAnimalsAnteriorBrainCandidate Disease GeneCellsCodeCuesDevelopmentDrosophila genusEnsureExhibitsGenesGeneticHeterogeneityHomeobox GenesImageIndividualInvertebratesKnowledgeLarvaLocationMental disordersMissionModelingMolecularMotorNervous SystemNeuronsNociceptionNociceptorsPathway interactionsPatternPerceptionPhysiologicalPopulationPropertyProteinsPublic HealthReportingResearchRoleSpecific qualifier valueStimulusSynapsesSystemTechniquesTestingUnited States National Institutes of HealthVertebratesVisualexperimental studyimprovedinnovationinsightinterdisciplinary approachnervous system disorderneural networkneuronal cell bodyneuronal excitabilitynovelnovel strategiesoverexpressionpatch clamppostmitoticrecruitresponsesensory stimulusstudy populationtooltranscriptomicsvector
中文摘要
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英文摘要
PROJECT SUMMARY
Population coding is a fundamental strategy that the nervous system employs to represent sensory stimulus
and generate perception. In neural networks that perform population coding (termed “population coding
networks (PCNs)”), input-elicited responses are quantitatively heterogeneous across neurons and the
response of a single neuron does not sufficiently define the stimulus; instead, the computed response of the
entire population of neurons underlies the perception of the stimulus. Despite the importance of PCNs, very
little is known about how they are assembled during development. The objective of the proposed research
is to identify the mechanisms that establish a PCN during development. In many PCNs, the constituent
neurons are not distinguishable from each other, except by their heterogeneous physiological properties.
While the apparent homogeneity of these PCNs ensures that constituent neurons contribute to the same
brain function, it also poses a challenge for studying the molecular and cellular mechanisms that underlie
the assembly of PCNs. A recent study reported a neural network that encodes the intensity of noxious
inputs through population coding in Drosophila larvae, which offers an excellent system for studying PCN
assembly. Preliminary results suggest that Hox genes are involved in establishing this PCN. The central
hypothesis is that a post-mitotic Hox code specifies the synaptic inputs to different neurons along the A-P
axis, establishing a population-coding network that encodes stimulus intensity. This hypothesis will be
tested by identifying the cellular (Aim 1) and molecular (Aim 2) mechanisms that establish the heterogeneity
of the neurons in this PCN. The proposed research is innovative because it proposes novel cellular and
molecular mechanisms that generate quantitative heterogeneity in a neural network. Moreover, it will use a
newly developed technique that is ideally suited for studying neuronal population activity in the PCN. Novel
genetic tools have also been developed for accessing subpopulation of neurons in the PCN. This research
is significant because it will provide cellular, molecular, and conceptual insights into the establishment of
other PCNs in Drosophila and other species. Beyond the PCNs, it will inform how physiological
heterogeneity arises in a seemingly identical group of neurons. Furthermore, the successful completion of
the proposed study will also demonstrate a Hox-based matching system that establish neuronal
connections confined to specific rostrocaudal segments.
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