Biology Department, The City College of New York, New York, NY, United States.
CUNY Graduate Center, New York, NY, United States.
Front Neural Circuits. 2020 Jan 30;14:2. doi: 10.3389/fncir.2020.00002. eCollection 2020.
The neural circuits responsible for social communication are among the least understood in the brain. Human studies have made great progress in advancing our understanding of the global computations required for processing speech, and animal models offer the opportunity to discover evolutionarily conserved mechanisms for decoding these signals. In this review article, we describe some of the most well-established speech decoding computations from human studies and describe animal research designed to reveal potential circuit mechanisms underlying these processes. Human and animal brains must perform the challenging tasks of rapidly recognizing, categorizing, and assigning communicative importance to sounds in a noisy environment. The instructions to these functions are found in the precise connections neurons make with one another. Therefore, identifying circuit-motifs in the auditory cortices and linking them to communicative functions is pivotal. We review recent advances in human recordings that have revealed the most basic unit of speech decoded by neurons is a phoneme, and consider circuit-mapping studies in rodents that have shown potential connectivity schemes to achieve this. Finally, we discuss other potentially important processing features in humans like lateralization, sensitivity to fine temporal features, and hierarchical processing. The goal is for animal studies to investigate neurophysiological and anatomical pathways responsible for establishing behavioral phenotypes that are shared between humans and animals. This can be accomplished by establishing cell types, connectivity patterns, genetic pathways and critical periods that are relevant in the development and function of social communication.
负责社会交流的神经回路是大脑中理解最少的回路之一。人类研究在推进我们对处理语音所需的全局计算的理解方面取得了重大进展,而动物模型则为发现用于解码这些信号的进化保守机制提供了机会。在这篇综述文章中,我们描述了一些人类研究中最成熟的语音解码计算,并描述了旨在揭示这些过程潜在电路机制的动物研究。人类和动物的大脑必须执行艰巨的任务,即在嘈杂的环境中快速识别、分类和赋予声音的交际重要性。这些功能的指令存在于神经元彼此之间建立的精确连接中。因此,确定听觉皮层中的电路模式并将其与交际功能联系起来至关重要。我们回顾了人类记录中的最新进展,这些进展揭示了神经元解码的最基本语音单位是音素,并考虑了在啮齿动物中进行的电路映射研究,这些研究显示了实现这一目标的潜在连接方案。最后,我们讨论了人类中其他可能重要的处理特征,如侧化、对精细时间特征的敏感性和分层处理。目标是让动物研究调查负责建立人类和动物之间共享的行为表型的神经生理和解剖途径。这可以通过建立与社会交流的发展和功能相关的细胞类型、连接模式、遗传途径和关键期来实现。