Interdisciplinary Training in Computational Neuroscience
Interdisciplinary Training in Computational Neuroscience
批准号:
10746499
负责人:
Steven M Chase
金额:
$21.52万
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:
2023-09-15 至 2028-06-30
关键词:
AppointmentArtificial IntelligenceBiomedical ResearchBrainBrain DiseasesClinical ResearchCognitionData SetDoctor of PhilosophyEnvironmentFacultyFosteringGoalsGrowthInterdisciplinary StudyInternetMachine LearningMinority-Serving InstitutionNeurosciencesResearchResearch PersonnelSchoolsStudentsTrainingTraining ProgramsUnited StatesUniversitiesacademic minorcollegecomputational neurosciencecomputer sciencedata modelingdoctoral studentexperienceneuralneuromechanismprogramsrecruitsummer programtoolundergraduate student
中文摘要
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英文摘要
Project Summary
Rationale: To understand the many disorders of the brain it is necessary to grapple with its complexity.
Increasingly large and complicated data sets are being collected, but the tools for analyzing and modeling the
data are not yet available. More researchers trained in computational neuroscience are desperately needed.
This project supports interdisciplinary graduate training programs in computational neuroscience (TPCN) at
both Carnegie Mellon University (CMU) and the University of Pittsburgh (Pitt), and a summer school in
computational neuroscience for undergraduates, which are available to students coming from colleges and
universities throughout the United States.
Carnegie Mellon University (CMU) is a world leader and innovator in quantitative fields such as
machine learning, computer science, and artificial intelligence, and recently, neuroscience has emerged as a
field for strategic growth at the university. The University of Pittsburgh is renowned for the strength of its clinical
and biomedical research programs. The TPCN is set within a highly collegial, cross-disciplinary environment of
our Center for the Neural Basis of Cognition (CNBC), which is operated jointly by CMU and Pitt. The CNBC
was established in 1994 to foster interdisciplinary research on the neural mechanisms of brain function, and
now comprises 162 faculty having appointments in 32 departments.
Goals: The goals of the TPCN are to:
1) Support computational training of PhD students across the neurosciences,
2) Broaden accessibility for students historically underrepresented in STEM by augmenting an existing
MS-to-PhD training program that prepares them for advanced graduate training in computational
neuroscience,
3) Expand computational training of undergraduate students through a formal academic minor in
computational neuroscience,
4) Support an undergraduate summer program that combines a two-week “boot-camp” overview of
computational neuroscience with an 8-week research experience,
5) Create online materials that not only serve our own students but are publicly available on the web, and
6) Enhance our recruitment through relationships we have developed with minority-serving institutions.
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Interdisciplinary Training in Computational Neuroscience
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批准号:10879289
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项目类别:
-
资助金额:$33.78万
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财政年份:2023
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负责人:Steven M Chase
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依托单位:
Information analysis of sound feature representation
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批准号:6784631
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项目类别:
-
资助金额:$4.18万
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财政年份:2002
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负责人:Steven M Chase
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依托单位:
Information analysis of sound feature representation
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批准号:6640508
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项目类别:
-
资助金额:$4.1万
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财政年份:2002
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负责人:Steven M Chase
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依托单位:
海外基金