Plasticity of spectrotemporal processing in awake rat auditory cortex

清醒大鼠听觉皮层频谱时间处理的可塑性

• 批准号: 8442834
• 负责人: Craig Atencio
• 金额: $ 14.68万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-03-12 至 2015-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8442834
• 关键词: Acoustics; Adult; Affect; Aging; Animals; Auditory; Auditory area; Behavioral; Cells; Cortical Column; Data; Detection; Discrimination; Due Process; Environment; Feedback; Hearing; Indium; Interneurons; Knowledge; Learning; Location; Measures; Mediating; Methods; Modeling; Neurons; Outcome; Perceptual learning; Physiological; Physiology; Preparation; Process; Rattus; Research; Sampling; Sensory; Speech; Speech Perception; Stimulus; Thalamic structure; Training; awake; base; cell type; excitatory neuron; experience; flexibility; hearing impairment; receptive field; relating to nervous system; response; statistics

DESCRIPTION (provided by applicant): The long term objectives of this project are to understand how temporal plasticity affects the function of primary auditory cortex (AI) circuits. To this end, the two specific aims in this project are: (1) evaluate spectrotemporal processing in normal auditory cortex; (2) evaluate the effects of temporal plasticity on AI of rats that have undergone perceptual learning for temporal modulations. The awake rat preparation will be used for physiological recordings. Multi-channel recording probes will be used to sample from neurons across all layers in AI. The class of neuron, fast-spiking (putative inhibitory interneuron or regular-spiking (putative excitatory neuron), will be determined from the recorded neural waveforms. From the data spectrotemporal receptive fields (STRFs) will be obtained and compared across layers and neuron classes. Another group of rats will undergo behavioral training for temporal modulations. Once long-term learning has been consolidated, AI will be examined for changes in spectrotemporal processing due to temporal plasticity. Changes in neural computations due to learning-induced plasticity will be correlated with layer and neuron class. These results will utilize STRFs to assess how the function of the cortical column in auditory cortex changes in response to temporal plasticity.

描述（由申请人提供）：本项目的长期目标是了解时间可塑性如何影响初级听觉皮层（AI）回路的功能。为此，本项目的两个具体目标是：（1）评估正常听觉皮层的谱时加工;（2）评估时间可塑性对经历时间调制感知学习的大鼠AI的影响。清醒大鼠制备物将用于生理记录。多通道记录探针将用于对人工智能所有层的神经元进行采样。将根据记录的神经波形确定神经元的类别，快速发放（推定的抑制性中间神经元）或规则发放（推定的兴奋性神经元）。从数据spectrotemporal感受野（STRF）将获得和跨层和神经元类进行比较。另一组大鼠将接受时间调制的行为训练。一旦长期学习得到巩固，人工智能将被检查由于时间可塑性而导致的频谱时间处理的变化。由于学习诱导的可塑性而引起的神经计算的变化将与层和神经元类别相关。这些结果将利用STRF来评估听觉皮层中的皮质柱功能如何响应于时间可塑性而变化。