Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland 21218, USA.
Department of Electrical Engineering, Columbia University, New York, New York 10027,
J Acoust Soc Am. 2019 Dec;146(6):EL459. doi: 10.1121/1.5135021.
The analyses of more than 2000 spectro-temporal receptive fields (STRFs) obtained from the ferret primary auditory cortex revealed their dominant encoding properties along time and frequency domains. Results showed that the peak responses of the STRFs were roughly aligned along the time axis, and enhanced low modulation components of the signal around 3 Hz. On the contrary, the peaks of the STRF population along the frequency axis varied and were distributed widely. Further analyses revealed that there were some general properties along the frequency axis around the best frequency of each STRF. The STRFs enhanced modulation frequencies around 0.25 cycles/octave. These findings are consistent with techniques that have been reported in the literature to result in improvements in speech recognition performance, highlighting the significant potential of biological insights into the design of better machines.
对来自雪貂初级听觉皮层的 2000 多个时频谱响应域 (STRFs) 的分析揭示了它们在时间和频率域上的主要编码特性。结果表明，STRFs 的峰值响应大致沿着时间轴对齐，并增强了信号的低调制成分，约为 3Hz。相反，STRF 群体在频率轴上的峰值变化且分布广泛。进一步的分析表明，在每个 STRF 的最佳频率周围的频率轴上存在一些一般特性。STRFs 增强了调制频率，约为 0.25 个倍频/octave。这些发现与文献中报道的可以提高语音识别性能的技术一致，突出了将生物学见解应用于设计更好机器的重要潜力。
