Neural Correlates of Learning Pure Tones or Natural Sounds in the Auditory Cortex

Ido Maor, Ravid Shwartz-Ziv, Libi Feigin, Yishai Elyada, Haim Sompolinsky, Adi Mizrahi*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Associative learning of pure tones is known to cause tonotopic map expansion in the auditory cortex (ACx), but the function this plasticity sub-serves is unclear. We developed an automated training platform called the “Educage,” which was used to train mice on a go/no-go auditory discrimination task to their perceptual limits, for difficult discriminations among pure tones or natural sounds. Spiking responses of excitatory and inhibitory parvalbumin (PV+) L2/3 neurons in mouse ACx revealed learning-induced overrepresentation of the learned frequencies, as expected from previous literature. The coordinated plasticity of excitatory and inhibitory neurons supports a role for PV+ neurons in homeostatic maintenance of excitation–inhibition balance within the circuit. Using a novel computational model to study auditory tuning curves, we show that overrepresentation of the learned tones does not necessarily improve discrimination performance of the network to these tones. In a separate set of experiments, we trained mice to discriminate among natural sounds. Perceptual learning of natural sounds induced “sparsening” and decorrelation of the neural response, consequently improving discrimination of these complex sounds. This signature of plasticity in A1 highlights its role in coding natural sounds.

Original languageAmerican English
Article number82
JournalFrontiers in Neural Circuits
Volume13
DOIs
StatePublished - 28 Jan 2020

Bibliographical note

Publisher Copyright:
© Copyright © 2020 Maor, Shwartz-Ziv, Feigin, Elyada, Sompolinsky and Mizrahi.

Keywords

  • auditory
  • automated training
  • interneurons
  • mice
  • perceptual learning

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