江豚
人体回声定位
弹道
任务(项目管理)
计算机科学
觅食
运动(音乐)
过程(计算)
具身认知
计算机视觉
人工智能
沟通
语音识别
人机交互
声学
心理学
生物
生态学
工程类
物理
系统工程
港口
程序设计语言
操作系统
天文
作者
Wu-Jung Lee,Michael Ladegaard,Matt Schalles,John R. Buck,Kristian Beedholm,Peter T. Madsen,Peter L. Tyack
摘要
Voluntary movements of echolocating animals with respect to targets in natural foraging or laboratory target discrimination tasks have long been interpreted as a closed-loop sensorimotor feedback driven by information in previously received echoes. However, what can we infer about sensorimotor integration and auditory information-gathering from animal movement trajectories? In this work, we use unsupervised clustering to analyze the movement trajectories of a free-swimming, echolocating harbor porpoise trained to select a sphere against prolate spheroids of varying aspect ratios presented at different angles, and show that the animal's discrimination performance and overall trajectory can be explained by task difficulty based on the similarity of target echo spectra received during its initial approach. The porpoise continued to evaluate its target selection via incoming echoes throughout the trials, and reversed its decision at very close ranges in a subset of trials. In more challenging scenarios, the animal engaged in prolonged, focused ensonification of a single target, sometimes via buzzes, which we interpret as an evidence accumulation process toward decision making. Our findings highlight movement, in addition to acoustic emissions, as a key behavioral readout in the active information acquisition process embodied in echolocation.
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