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Computational and Circuit Mechanisms for information transmission in the brain

大脑信息传输的计算和电路机制

基本信息

批准号：
9613104
负责人：
Uri Tzvi Eden
金额：
$ 17.03万
依托单位：
COLD SPRING HARBOR LABORATORY
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-09-30 至 2019-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9613104
关键词：
Adaptive Behaviors Address Area Auditory Behavior Behavior Control Behavioral Brain Brain region Cells Cognitive Collaborations Communication Complex Computational Technique Computing Methodologies Corpus striatum structure Data Data Set Decision Making Dimensions Electrodes Evaluation Future Goals Hearing Hippocampus (Brain)Interneurons Laboratories Learning Link Measures Modeling Motivation Motor Motor Pathways Motor output Neurons Neurosciences Output Pattern Polymers Population Process Research Personnel Scientist Sensory Specificity Statistical Models Stream Structure System Techniques Technology Testing Theoretical model Time Ventral Striatum Viral Waxes Writing base cell type improved information framework information processing insight millisecond motivated behavior neural circuit neural model new technology novel operation optogenetics public health relevance relating to nervous system tool transmission process visual motor

项目摘要

DESCRIPTION (provided by applicant): The brain is a massively interconnected network of regions, each of which contains neural circuits that process information related to combinations of sensory, motor and internal variables. Adaptive behavior requires that these regions communicate: sensory and internal information must be evaluated and used to make a decision, which must then be transformed into a motor output. Despite the importance of this question, we know relatively little about the principles of how spiking activity in one region influences activiy in downstream areas, particularly in the context of cognitive operations like decision-making. Here we propose to address this question by focusing on how the ventral striatum (VS), a region critical for motivational control of behavior receives and processes information from two important upstream regions, the orbitofrontal cortex (OFC) and the hippocampus (HP). We have assembled a unique team of scientists with complementary expertise studying the HP (Frank), OFC and VS (Kepecs), using synergistic technologies for large-scale recordings using novel polymer electrodes (Frank/Tolosa) with improved optogenetic identification of projections (Kepecs), and a team of statistical and computational researchers providing complementary analytical expertise in dimensionality reduction (Machens), statistical modeling (Eden/Kramer) and normative models (Ganguli). Our combined expertise will allow us to (1) measure large populations of neurons across the brain regions, (2) identify and (3) manipulate the neurons connecting them in order to (4) test for the first time a range of hypotheses about different modes and circuits for information transmission across regions. Beyond revealing how the OFC, HP and VS communicate during learning and decision-making, our approach will provide new experimental tools and computational methods for systems neuroscience, as well as new insights into the general principles of information transmission across regions.