Plasticity of spectrotemporal processing in awake rat auditory cortex

描述（由申请人提供）：该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光谱时间加工；(2)评价时间可塑性对时间调节后感知学习大鼠人工智能的影响。大鼠清醒准备将用于生理记录。多通道记录探针将用于从人工智能中所有层的神经元中采样。神经元的类别，快速尖峰（假定的抑制性中间神经元）或规律尖峰（假定的兴奋性神经元），将从记录的神经波形中确定。从这些数据中，我们将得到并比较不同层次和神经元类别的谱时间感受场。另一组老鼠将接受时间调节的行为训练。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光谱时间处理的变化。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来评估听觉皮层皮层柱的功能如何随时间可塑性而变化。

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.