Adaptive mechanisms facilitate robust performance in noise and in reverberation in an auditory categorization model.
Adaptive mechanisms facilitate robust performance in noise and in reverberation in an auditory categorization model.
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DOI:
10.1038/s42003-023-04816-z
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发表时间:
2023-05-02
影响因子:
5.9
通讯作者:
Sadagopan, Srivatsun
中科院分区:
文献类型:
--
作者:
Parida, Satyabrata;Liu, Shi Tong;Sadagopan, Srivatsun
For robust vocalization perception, the auditory system must generalize over variability in vocalization production as well as variability arising from the listening environment (e.g., noise and reverberation). We previously demonstrated using guinea pig and marmoset vocalizations that a hierarchical model generalized over production variability by detecting sparse intermediate-complexity features that are maximally informative about vocalization category from a dense spectrotemporal input representation. Here, we explore three biologically feasible model extensions to generalize over environmental variability: (1) training in degraded conditions, (2) adaptation to sound statistics in the spectrotemporal stage and (3) sensitivity adjustment at the feature detection stage. All mechanisms improved vocalization categorization performance, but improvement trends varied across degradation type and vocalization type. One or more adaptive mechanisms were required for model performance to approach the behavioral performance of guinea pigs on a vocalization categorization task. These results highlight the contributions of adaptive mechanisms at multiple auditory processing stages to achieve robust auditory categorization. A computational model for categorizing vocalizations from marmosets and guinea pigs highlights the contributions of adaptive mechanisms at multiple auditory processing stages to achieve robust auditory categorization.
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影响因子:
16.2
作者:
Atallah BV;Bruns W;Carandini M;Scanziani M
通讯作者:
Scanziani M
影响因子:
2.8
作者:
Montes-Lourido, Pilar;Kar, Manaswini;Pernia, Marianny;Parida, Satyabrata;Sadagopan, Srivatsun
通讯作者:
Sadagopan, Srivatsun
影响因子:
25
作者:
通讯作者:
--
影响因子:
64.8
作者:
Froemke, Robert C.;Merzenich, Michael M.;Schreiner, Christoph E.
通讯作者:
Schreiner, Christoph E.
影响因子:
56.9
作者:
Barbour, DL;Wang, XQ
通讯作者:
Wang, XQ