Department of Biology, Wesleyan University, Middletown, CT 06459, USA.
Marine Biological Laboratory, Woods Hole, MA 02543, USA.
J Exp Biol. 2021 Apr 1;224(7). doi: 10.1242/jeb.240143. Epub 2021 Apr 15.
Movement induces sensory stimulation of an animal's own sensory receptors, termed reafference. With a few exceptions, notably vestibular and proprioception, this reafference is unwanted sensory noise and must be selectively filtered in order to detect relevant external sensory signals. In the cerebellum-like electrosensory nucleus of elasmobranch fish, an adaptive filter preserves novel signals by generating cancellation signals that suppress predictable reafference. A parallel fiber network supplies the principal Purkinje-like neurons (called ascending efferent neurons, AENs) with behavior-associated internal reference signals, including motor corollary discharge and sensory feedback, from which predictive cancellation signals are formed. How distinct behavior-specific cancellation signals interact within AENs when multiple behaviors co-occur and produce complex, changing patterns of reafference is unknown. Here, we show that when multiple streams of internal reference signals are available, cancellation signals form that are specific to parallel fiber inputs temporally correlated with, and therefore predictive of, sensory reafference. A single AEN has the capacity to form more than one cancellation signal, and AENs form multiple cancellation signals simultaneously and modify them independently during co-occurring behaviors. Cancellation signals update incrementally during continuous behaviors, as well as episodic bouts of behavior that last minutes to hours. Finally, individual AENs, independently of their neighbors, form unique AEN-specific cancellation signals that depend on the particular sensory reafferent input it receives. Together, these results demonstrate the capacity of the adaptive filter to utilize multiple cancellation signals to suppress dynamic patterns of reafference arising from complex co-occurring and intermittently performed behaviors.
运动会刺激动物自身感觉感受器的感觉刺激,称为重反射。除了少数例外,如前庭和本体感觉,这种重反射是不需要的感觉噪声,必须进行选择性过滤,以便检测相关的外部感觉信号。在鲨鱼等软骨鱼类的类似小脑的电感觉核中,一种自适应滤波器通过生成抑制可预测重反射的抵消信号来保留新的信号。平行纤维网络向主要的浦肯野样神经元(称为上行传出神经元,AENs)提供与行为相关的内部参考信号,包括运动副放电和感觉反馈,从中形成预测性的抵消信号。当多种行为同时发生并产生复杂、变化的重反射模式时,这些特定于行为的不同抵消信号如何在 AENs 中相互作用是未知的。在这里,我们表明,当有多个内部参考信号流可用时,形成的抵消信号是特定于平行纤维输入的,与感觉重反射在时间上相关,因此具有预测性。单个 AEN 有能力形成多个抵消信号,并且 AENs 同时形成多个抵消信号,并在同时发生的行为中独立地对其进行修改。在连续行为和持续数分钟到数小时的阵发性行为中,抵消信号会持续不断地更新。最后,单个 AEN 会独立于其邻居形成独特的 AEN 特异性抵消信号,这取决于它接收到的特定感觉重反射输入。总之,这些结果表明自适应滤波器有能力利用多个抵消信号来抑制由复杂的同时发生和间歇性执行的行为产生的动态重反射模式。