Department of Physiology, McGill University, Montreal, QC, Canada.
Sci Rep. 2016 Jun 28;6:28716. doi: 10.1038/srep28716.
Understanding the coding strategies used to process sensory input remains a central problem in neuroscience. Growing evidence suggests that sensory systems process natural stimuli efficiently by ensuring a close match between neural tuning and stimulus statistics through adaptation. However, adaptation causes ambiguity as the same response can be elicited by different stimuli. The mechanisms by which the brain resolves ambiguity remain poorly understood. Here we investigated adaptation in electrosensory pyramidal neurons within different parallel maps in the weakly electric fish Apteronotus leptorhynchus. In response to step increases in stimulus variance, we found that pyramidal neurons within the lateral segment (LS) displayed strong scale invariant adaptation whereas those within the centromedial segment (CMS) instead displayed weaker degrees of scale invariant adaptation. Signal detection analysis revealed that strong adaptation in LS neurons significantly reduced stimulus discriminability. In contrast, weaker adaptation displayed by CMS neurons led to significantly lesser impairment of discriminability. Thus, while LS neurons display adaptation that is matched to natural scene statistics, thereby optimizing information transmission, CMS neurons instead display weaker adaptation and would instead provide information about the context in which these statistics occur. We propose that such a scheme is necessary for decoding by higher brain structures.
理解用于处理感觉输入的编码策略仍然是神经科学的一个核心问题。越来越多的证据表明,感觉系统通过适应确保神经调谐与刺激统计之间的紧密匹配,从而有效地处理自然刺激。然而,适应会引起歧义,因为不同的刺激可以引起相同的反应。大脑解决歧义的机制仍知之甚少。在这里,我们研究了弱电鱼 Apteronotus leptorhynchus 中不同平行图谱中的电感觉金字塔神经元的适应。我们发现,对于刺激方差的阶跃增加,位于外侧段 (LS) 的金字塔神经元表现出强烈的尺度不变适应,而位于中央段 (CMS) 的金字塔神经元则表现出较弱的尺度不变适应程度。信号检测分析表明,LS 神经元的强适应显著降低了刺激的可辨别性。相比之下,CMS 神经元较弱的适应导致可辨别性的损害明显较小。因此,虽然 LS 神经元的适应与自然场景统计相匹配,从而优化了信息传输,但 CMS 神经元的适应较弱,因此提供了关于这些统计数据出现的上下文的信息。我们提出,这种方案对于更高脑结构的解码是必要的。