Neural mechanisms and behavioral consequences of non-Gaussian likelihoods in sensorimotor learning
感觉运动学习中非高斯可能性的神经机制和行为后果
基本信息
- 批准号:9170650
- 负责人:
- 金额:$ 34.54万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-09-30 至 2019-06-30
- 项目状态:已结题
- 来源:
- 关键词:AccountingAcousticsAdultAgeAnimal BehaviorAnimalsAnteriorBayesian AnalysisBehaviorBehavioralBehavioral ModelBiologicalBiological ModelsBrainCell NucleusCommunicationCommunitiesComplexComputer SimulationComputer softwareDataData AnalysesData SetDatabasesDependenceDevelopmentEducational workshopElectrophysiology (science)EnsureEnvironmentFormulationFrequenciesFutureGenetic ProgrammingGoalsHumanIndividualLateralLearningLikelihood FunctionsLiteratureMaintenanceMarkov chain Monte Carlo methodologyModelingMotorMotor outputMuscleNervous System TraumaNervous system structureNeuronsNeurosciencesNoiseOutputPatientsPatternPhysiologicalPopulationProcessProsencephalonPublishingRehabilitation therapyReportingResearchSamplingSensorySensory ProcessShapesSignal TransductionSongbirdsSpeedStudy modelsSystemTailTechniquesTestingTimeUpdateValidationbasebird songcomputer based statistical methodscritical perioddesignflexibilityimprovedinnovationlearned behaviorlearning abilitymagnocellularmathematical methodsmathematical theorymembermotor learningnervous system disorderneural circuitneural correlateneuromechanismneurophysiologynovelrelating to nervous systemresearch studyresponsesensory feedbacksensory inputskillssymposiumtheoriestoolvocal learning
项目摘要
A central goal of neuroscience is to understand how learning is implemented by the nervous system.
However, despite years of studies in animals and humans, our understanding of both the computational basis
of learning and its implementation by the brain is still rudimentary. A critical gap therefore exists between the
large amount of behavioral and neural data that has been collected during learning and a mathematical and
biological understanding of the rules governing motor plasticity. This proposal will develop a unified
mathematical theory for understanding how the brain learns complex skills. The theoretical framework
will be implemented in software and will be applicable to and validated on a wide variety of sensorimotor data.
The primary experimental validation system will be songbirds, which provide a physiologically accessible
model system to investigate sensorimotor learning. Our objective in the songbird system is to understand
sensorimotor learning of a single acoustic parameter – fundamental frequency (pitch) – which is known to be
precisely regulated by the songbird brain. Our central hypothesis is that learning is implemented as a Bayesian
inference, and that the stochastic sampling of motor commands from the current Bayesian a priori distribution
of outputs is coordinated by a network of neurons in the forebrain. Drawing on a large quantity of both
theoretical and experimental results, two specific aims will test this hypothesis. The first aim will introduce an
innovative new class of computational model in which the brain uses an iterative process of Bayesian inference
to reshape behavior in response to sensory feedback. The models will be validated using population-averaged
animal behavior. The second aim will analyze data recorded from individual animals and single neurons in
behaving animals to identify the biological mechanisms underlying sensorimotor learning. Throughout, we will
design, test, and make public software that will allow other members of the community to apply our novel tools
to their own data. Our approach is innovative because it will provide a unified framework for understanding the
results of a wide variety of behavioral and neural studies across both tasks and species. These studies are
significant because a better understanding of the mechanisms underlying sensorimotor learning could aid in
the design of rehabilitative strategies that exploit the plasticity of complex behavior.
神经科学的一个中心目标是了解神经系统是如何实现学习的。
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 }}
Ilya M. Nemenman其他文献
Ilya M. Nemenman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('Ilya M. Nemenman', 18)}}的其他基金
Neural mechanisms and behavioral consequences of non-Gaussian likelihoods in sensorimotor learning
感觉运动学习中非高斯可能性的神经机制和行为后果
- 批准号:
9360110 - 财政年份:2016
- 资助金额:
$ 34.54万 - 项目类别:
相似海外基金
Nonlinear Acoustics for the conditioning monitoring of Aerospace structures (NACMAS)
用于航空航天结构调节监测的非线性声学 (NACMAS)
- 批准号:
10078324 - 财政年份:2023
- 资助金额:
$ 34.54万 - 项目类别:
BEIS-Funded Programmes
ORCC: Marine predator and prey response to climate change: Synthesis of Acoustics, Physiology, Prey, and Habitat In a Rapidly changing Environment (SAPPHIRE)
ORCC:海洋捕食者和猎物对气候变化的反应:快速变化环境中声学、生理学、猎物和栖息地的综合(蓝宝石)
- 批准号:
2308300 - 财政年份:2023
- 资助金额:
$ 34.54万 - 项目类别:
Continuing Grant
University of Salford (The) and KP Acoustics Group Limited KTP 22_23 R1
索尔福德大学 (The) 和 KP Acoustics Group Limited KTP 22_23 R1
- 批准号:
10033989 - 财政年份:2023
- 资助金额:
$ 34.54万 - 项目类别:
Knowledge Transfer Partnership
User-controllable and Physics-informed Neural Acoustics Fields for Multichannel Audio Rendering and Analysis in Mixed Reality Application
用于混合现实应用中多通道音频渲染和分析的用户可控且基于物理的神经声学场
- 批准号:
23K16913 - 财政年份:2023
- 资助金额:
$ 34.54万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Combined radiation acoustics and ultrasound imaging for real-time guidance in radiotherapy
结合辐射声学和超声成像,用于放射治疗的实时指导
- 批准号:
10582051 - 财政年份:2023
- 资助金额:
$ 34.54万 - 项目类别:
Comprehensive assessment of speech physiology and acoustics in Parkinson's disease progression
帕金森病进展中言语生理学和声学的综合评估
- 批准号:
10602958 - 财政年份:2023
- 资助金额:
$ 34.54万 - 项目类别:
The acoustics of climate change - long-term observations in the arctic oceans
气候变化的声学——北冰洋的长期观测
- 批准号:
2889921 - 财政年份:2023
- 资助金额:
$ 34.54万 - 项目类别:
Studentship
Collaborative Research: Estimating Articulatory Constriction Place and Timing from Speech Acoustics
合作研究:从语音声学估计发音收缩位置和时间
- 批准号:
2343847 - 财政年份:2023
- 资助金额:
$ 34.54万 - 项目类别:
Standard Grant
Collaborative Research: Estimating Articulatory Constriction Place and Timing from Speech Acoustics
合作研究:从语音声学估计发音收缩位置和时间
- 批准号:
2141275 - 财政年份:2022
- 资助金额:
$ 34.54万 - 项目类别:
Standard Grant
Flow Physics and Vortex-Induced Acoustics in Bio-Inspired Collective Locomotion
仿生集体运动中的流动物理学和涡激声学
- 批准号:
DGECR-2022-00019 - 财政年份:2022
- 资助金额:
$ 34.54万 - 项目类别:
Discovery Launch Supplement