Psychology Graduate Group, University of Pennsylvania, Philadelphia, PA, USA.
Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, PA, USA.
Nat Commun. 2023 Aug 9;14(1):4817. doi: 10.1038/s41467-023-40477-6.
Neurons throughout the sensory pathway adapt their responses depending on the statistical structure of the sensory environment. Contrast gain control is a form of adaptation in the auditory cortex, but it is unclear whether the dynamics of gain control reflect efficient adaptation, and whether they shape behavioral perception. Here, we trained mice to detect a target presented in background noise shortly after a change in the contrast of the background. The observed changes in cortical gain and behavioral detection followed the dynamics of a normative model of efficient contrast gain control; specifically, target detection and sensitivity improved slowly in low contrast, but degraded rapidly in high contrast. Auditory cortex was required for this task, and cortical responses were not only similarly affected by contrast but predicted variability in behavioral performance. Combined, our results demonstrate that dynamic gain adaptation supports efficient coding in auditory cortex and predicts the perception of sounds in noise.
整个感觉通路中的神经元会根据感觉环境的统计结构来调整它们的反应。对比增益控制是听觉皮层中的一种适应形式,但目前尚不清楚增益控制的动态变化是否反映了有效的适应,以及它们是否会影响行为感知。在这里,我们训练老鼠在背景噪声中目标出现后不久,检测背景对比度的变化。观察到的皮层增益变化和行为检测与有效的对比增益控制的规范模型的动力学一致;具体来说,在低对比度下,目标检测和敏感性提高缓慢,但在高对比度下迅速降低。该任务需要听觉皮层,并且皮层反应不仅受到对比度的相似影响,而且还可以预测行为表现的变异性。综合来看,我们的结果表明,动态增益适应支持听觉皮层中的有效编码,并预测噪声中声音的感知。