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.
The auditory cortex changes throughout adulthood due to learning related plasticity. In this project we will evaluate changes in auditory cortex due to learning of temporal features that are present in speech. By understanding how the auditory cortex changes due to learning, we will be able to devise training strategies to help hearing impaired listeners perform better in normal and challenging environments.
|Atencio, Craig A; Sharpee, Tatyana O (2017) Multidimensional receptive field processing by cat primary auditory cortical neurons. Neuroscience 359:130-141|
|Atencio, C A; Schreiner, C E (2016) Functional congruity in local auditory cortical microcircuits. Neuroscience 316:402-19|
|Atencio, Craig A; Shen, Victor; Schreiner, Christoph E (2016) Synchrony, connectivity, and functional similarity in auditory midbrain local circuits. Neuroscience 335:30-53|
|Atencio, Craig A; Schreiner, Christoph E (2013) Auditory cortical local subnetworks are characterized by sharply synchronous activity. J Neurosci 33:18503-14|