| Autor: |
Kline AM; Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.; Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.; These authors contributed equally., Aponte DA; Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.; Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.; These authors contributed equally., Kato HK; Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.; Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.; Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. |
| Abstrakt: |
Animals sense sounds through hierarchical neural pathways that ultimately reach higher-order cortices to extract complex acoustic features, such as vocalizations. Elucidating how spectrotemporal integration varies along the hierarchy from primary to higher-order auditory cortices is a crucial step in understanding this elaborate sensory computation. Here we used two-photon calcium imaging and two-tone stimuli with various frequency-timing combinations to compare spectrotemporal integration between primary (A1) and secondary (A2) auditory cortices in mice. Individual neurons showed mixed supralinear and sublinear integration in a frequency-timing combination-specific manner, and we found unique integration patterns in these two areas. Temporally asymmetric spectrotemporal integration in A1 neurons enabled their discrimination of frequency-modulated sweep directions. In contrast, temporally symmetric and coincidence-preferring integration in A2 neurons made them ideal spectral integrators of concurrent multifrequency sounds. Moreover, the ensemble neural activity in A2 was sensitive to two-tone timings, and coincident two-tones evoked distinct ensemble activity patterns from the linear sum of component tones. Together, these results demonstrate distinct roles of A1 and A2 in encoding complex acoustic features, potentially suggesting parallel rather than sequential information extraction between these regions. |
