Maximizing flexibility: Optimized neural probes and electronics for long term, high bandwidth recordings
Maximizing flexibility: Optimized neural probes and electronics for long term, high bandwidth recordings
批准号:
10473539
负责人:
Loren M Frank
金额:
$101.74万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-01 至 2024-07-31
关键词:
3-DimensionalAddressAnatomyAnimal ModelAnimalsAreaBehaviorBrainBrain regionCallithrixCharacteristicsChronicCicatrixCognitionCollectionCommunitiesComplexComputer softwareDevelopmentDevicesDimensionsDiseaseElectrodesElectronicsElectrophysiology (science)FeedbackHeterogeneityHourImageImaging TechniquesImplantIndividualLaboratoriesLongevityMacaca mulattaMeasurementMissionModalityModelingMusNerve DegenerationNeurologicNeuronsNeurosciencesOperative Surgical ProceduresOptical MethodsOpticsPatternPerceptionPerformancePolymersPopulationPublic HealthRattusResearchResearch PersonnelResolutionSiteSpicesStructureSystemTechniquesTechnologyTestingThickTimeTissuesUnited States National Institutes of HealthUtahWorkbiomaterial compatibilitycell typedensitydesigndisorder preventionexperienceflexibilityimaging modalityimplantationimprovedin vivoin vivo evaluationinformation processinginnovationinstrumentationlithographymillisecondminimally invasivenanoelectronicsneural circuitneuromechanismnew technologyoptical imagingrelating to nervous systemscale upsuccesstemporal measurementtooluser-friendly
中文摘要
点击翻译按钮获取中文摘要
英文摘要
The brain is a massively interconnected network of specialized circuits. Three characteristics of these circuits
make them particularly challenging: diversity of time scales, diversity of spatial scales, and heterogeneity.
Understanding the brain therefore requires spanning these temporal and spatial scales and providing information
about cell-types. We need to be able to record the activity of individual neurons across time to understand activity
patterns on a millisecond timescale and how those patterns evolve with experience across hours, days, months
and even years. We need to be able to record throughout a cortical region, spanning both different parts of the
region as well as all layers, to understand both local and distributed information processing. We also need to be
able to combine these dense and distributed recordings with imaging to take advantage of the complementary
strengths of electrical and optical measurements. This is hindered by multiple challenges: 1) Current approaches
lack the spatial extent (spanning multiple structures) required to examine three-dimensional or distributed
networks in detail. 2) Current electrophysiological approaches (which do provide the millisecond resolution)
typically lack the necessary lifetime to follow long-term dynamics. 3) Current electrophysiological approaches
use rigid electrodes that are ill-suited to use with imaging techniques. The overall objective of this project is to
optimize a suite of complementary technologies that can address these challenges for the community and make
them ready for common use by the neuroscience community. Our central hypothesis is that our recently
developed nanoelectronic thread (NET) devices, which have demonstrated biocompatibility, in vivo function
longevity, high quality unit recording and compatibility with optical methods, are a potentially ideal candidate for
understanding patterns of brain activity. We plan to develop a selection of NET probes and high-density arrays
that are suitable for multiple brain regions in different spices. We will engage expert neuroscientists, allowing us
to develop and optimize NETs that work across mouse, rat and marmoset, and to expedite the delivery of
resulting technologies to the scientific community. We will pursue the following three specific aims: 1) To optimize
NET probes for various brain regions and species.; 2) To optimize NET probes for high-density regional and
distributed recordings; and 3) To determine the best devices for each species and brain regions. The approach
is innovative, because the technology we will develop and put into common use has the potential to drive
innovation throughout the field, enabling new, very high density recording studies and allowing investigators to
track large ensembles of neurons in unprecedented details and time duration.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Commercialization of integrated electrode-electronics system for large scale, long-lasting electrophysiology
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批准号:10651898
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项目类别:
-
资助金额:$65.28万
-
财政年份:2022
-
负责人:Loren M Frank
-
依托单位:
Commercialization of integrated electrode-electronics system for large scale, long-lasting electrophysiology
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批准号:10481712
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项目类别:
-
资助金额:$90.84万
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财政年份:2022
-
负责人:Loren M Frank
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依托单位:
Diversity Administrative Supplement to Maximizing Flexibility: Optimized Neural Probes and Electronics for Long Term, High Bandwidth Recordings
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批准号:10307662
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项目类别:
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资助金额:$3.53万
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财政年份:2021
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负责人:Loren M Frank
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依托单位:
Maximizing flexibility: Optimized neural probes and electronics for long term, high bandwidth recordings
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批准号:10689321
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项目类别:
-
资助金额:$103.31万
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财政年份:2020
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负责人:Loren M Frank
-
依托单位:
Maximizing flexibility: Optimized neural probes and electronics for long term, high bandwidth recordings
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批准号:10687537
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项目类别:
-
资助金额:$7.06万
-
财政年份:2020
-
负责人:Loren M Frank
-
依托单位:
Maximizing flexibility: Optimized neural probes and electronics for long term, high bandwidth recordings
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批准号:10472268
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项目类别:
-
资助金额:$7.06万
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财政年份:2020
-
负责人:Loren M Frank
-
依托单位:
Maximizing flexibility: Optimized neural probes and electronics for long term, high bandwidth recordings
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批准号:10893840
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项目类别:
-
资助金额:$6.53万
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财政年份:2020
-
负责人:Loren M Frank
-
依托单位:
Maximizing flexibility: Optimized neural probes and electronics for long term, high bandwidth recordings
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批准号:10893838
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项目类别:
-
资助金额:$3.53万
-
财政年份:2020
-
负责人:Loren M Frank
-
依托单位:
Maximizing flexibility: Optimized neural probes and electronics for long term, high bandwidth recordings
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批准号:10241922
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项目类别:
-
资助金额:$101.74万
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财政年份:2020
-
负责人:Loren M Frank
-
依托单位:
Maximizing flexibility: Optimized neural probes and electronics for long term, high bandwidth recordings
-
批准号:9925027
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项目类别:
-
资助金额:$108.69万
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财政年份:2020
-
负责人:Loren M Frank
-
依托单位:
Maximizing flexibility: Optimized neural probes and electronics for long term, high bandwidth recordings
-
批准号:10618479
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项目类别:
-
资助金额:$4.91万
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财政年份:2020
-
负责人:Loren M Frank
-
依托单位:
Maximizing flexibility: Optimized neural probes and electronics for long term, high bandwidth recordings
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批准号:10687536
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项目类别:
-
资助金额:$7.06万
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财政年份:2020
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负责人:Loren M Frank
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依托单位:
Modular systems for measuring and manipulating brain activity
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批准号:8827056
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项目类别:
-
资助金额:$82.8万
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财政年份:2014
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负责人:Loren M Frank
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依托单位:
Modular systems for measuring brain activity in primates
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批准号:9081433
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项目类别:
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资助金额:$8.68万
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财政年份:2014
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负责人:Loren M Frank
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依托单位:
Modular systems for measuring and manipulating brain activity
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批准号:8935972
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项目类别:
-
资助金额:$84.57万
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财政年份:2014
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负责人:Loren M Frank
-
依托单位:
The role of cholinergic modulation in hippocampal information processing
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批准号:8651946
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项目类别:
-
资助金额:$22.8万
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财政年份:2013
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负责人:Loren M Frank
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依托单位:
The role of cholinergic modulation in hippocampal information processing
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批准号:8511405
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项目类别:
-
资助金额:$18.76万
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财政年份:2013
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负责人:Loren M Frank
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依托单位:
The role of hippocampal replay in memory formation and retrieval
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批准号:8415892
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项目类别:
-
资助金额:$37.08万
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财政年份:2011
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负责人:Loren M Frank
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依托单位:
The role of hippocampal replay in memory formation and retrieval
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批准号:8792869
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项目类别:
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资助金额:$38.63万
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财政年份:2011
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负责人:Loren M Frank
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依托单位:
The role of hippocampal replay in memory formation and retrieval
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批准号:8108305
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项目类别:
-
资助金额:$38.63万
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财政年份:2011
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负责人:Loren M Frank
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依托单位:
海外基金