CELLULAR ANALYSIS OF ODOR LEARNING

气味学习的细胞分析

• 批准号: 2675528
• 负责人: Alan Gelperin
• 金额: $ 7.3万
• 依托单位: BELL LABORATORIES
• 依托单位国家: 美国
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-09-30 至 2001-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2675528
• 关键词: Gastropoda; behavioral /social science research tag; conditioning; electrodes; electrophysiology; mathematical model; olfactory lobe; olfactory stimulus; sensory discrimination; synapses; video recording system

DESCRIPTION (Adapted from Applicant's Abstract): The long-range goal of this research is to identify neural mechanisms for odor recognition and odor learning. The central olfactory network of the terrestrial mollusc Limax maximus will be used, which is particularly advantageous for a cellular and computational analysis of odor recognition and odor learning. This olfactory network, the procerebrum (PC), shows oscillatory dynamics and wave-like propagation of excitation, both of which are modified by odor-elicited receptor input. Specific aims of the proposed work will test the following hypotheses: (1) Odors produce unique spatial and temporal patterns of central activity. (2) Odor learning alters the central pattern elicited by an odor. (3) Learning-specific labeling of PC neurons identifies sites of odor memory. (4) Patterns of odor-elicited activity in PC output cells reflect odor learning. Methods: Electrophysiological and optical studies of PC activity in isolated nose-brain preparations will measure odor-elicited alterations in spatial and temporal patterns of activity in PC lobes from control and odor conditioned slugs. Electrodes implanted on the PC lobe in situ will be used both to record odor-elicited alterations in PC lobe activity and to perturb PC dynamics during odor-guided behavior. Intracellular recordings from Dil stained PC output cells responding to odor stimulation will assess the synaptic result of odor processing in the PC before and after odor conditioning. Health Relatedness: Understanding basic cellular and synaptic mechanisms of learning contributes directly to designing treatments for learning disorders such as mental retardation and Alzheimers disease.

描述（改编自申请人的摘要）： 这项研究旨在确定气味识别和气味识别的神经机制， 学习 陆栖软体动物Limax的中枢嗅觉网络 将使用Maximus，这对于蜂窝网络特别有利， 气味识别和气味学习的计算分析。 这 嗅觉网络，procerebrum（PC），显示振荡动力学， 激发的波状传播，两者都被修改， 气味诱发的受体输入。 具体目标的拟议工作将测试以下假设：（1） 气味产生独特的空间和时间模式的中央活动。 （二） 气味学习改变了由气味引起的中枢模式。 （三） PC神经元的学习特异性标记识别气味记忆的位点。 (4)PC输出细胞的气味诱发活动模式反映了气味 学习 方法：电生理和光学研究PC的活动， 分离的鼻-脑制剂将测量气味引起的变化， 控制和气味对PC叶活动时空模式的影响 条件蛞蝓。 将使用原位植入PC叶的电极 既记录气味引起的PC叶活动的变化， 气味引导行为过程中的PC动力学。 来自Dil的细胞内记录 对气味刺激做出反应的染色PC输出细胞将评估 嗅觉前后PC嗅觉加工的突触结果 条件反射 健康相关性：了解基本的细胞和突触机制， 学习直接有助于设计学习障碍的治疗方法 例如智力迟钝和老年痴呆症。