Active sensing in echolocating marine mammals and humans

Abstract

Echolocating animals effortlessly navigate, hunt, and interact with their environment, despite cluttered and noisy echo returns, wi"th performance that in some circumstances exceeds that of sonars engineered by humans. The ultimate objective of this project is to" understand the behavioral strategies and the cognitive and neural mechanisms allowing toothed whales (odontocetes) to detect, locat""e, and identify objects through echolocation, and to relate these mechanisms to those allowing humans to make sense ofsound in ever"yday settings. Our team aims to identify the neural mechanisms that extract echo-acoustic information and the brain networks that bu"ild robust, invariant representations of auditory objects in complex auditory scenes. To this end, we will study the mechanisms and"" strategies both odontocetes and humans use to hear (i.e., process acoustic energy emitted by sound sources) and how this relates to"" how odontocetes echolocate. Our hypothesis is that, despite having specialized sensory processing to extractecholocation-specific"" acoustic information from echo-like sounds, the high-level cognitive processes that control active sensing during odontocete echolo"cation are likely homologous to those engaged during human hearing. Work is divided into three interrelated thrusts. Thrust I uses a combination of behavioraland neural measures to explore how dolphins and porpoises hear and echolocate. We will study how odontoce"tes extract echo-acoustic cues to form invariant representations of targets, allowing them to generalize recognition of a target acr"oss different aspect-dependent views. The combined movement and acoustic behaviors of free-swimming odontocetes will be quantified a"s they solve different echolocation tasks, so that their echolocation strategies can be compared to those predicted by theoretical m"odels. Wepropose to use non-invasive electroencephalography (EEG) and to develop the capacity to use functional near infrared spectroscopy (fNIRS) and functional magnetic resonance imaging (fMRI) methods to measure spatial and temporal patterns of neural activity across brain regions associated with hearing and echolocation. Thrust II studies the brain networks controlling hearing in humans b"y combining behavioral performance and neuroimaging methods (EEG, magnetoencephalography (MEG), fMRI, and fNIRS). Thegoal is to und"erstand the neural mechanisms of active sensing of acoustic inputs. We will integrate information from M/EEG and fMRI/fNIRs in order to investigate the neural dynamics of mechanisms important for processing complex auditory inputs. Thrust III develops information" theoretic models forecholocation, positing that echolocators strive to maximize the information available about an unknown scene."" We will formulate models for how echolocators accrue information about the number, location, and structure of objects by moving thr""ough space, changing orientation to targets, directing beams, and modifying transmitted signals, incorporating data about how echolo"cators~ attention and prior experiences alter the processing of observed echolocations signals. Insights from this project promise t"o lead to morerobust, more autonomous sonar systems that achieve detection and discrimination performance closer to that of biologi""cal echolocators.

Document Details

Document Type
DoD Grant Award
Publication Date
Dec 20, 2017
Source ID
N000141812069

Entities

People

  • Barbara Shinn-Cunningham

Organizations

  • Boston University
  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Auditory Neuroscience/Auditory Physiology.
  • Marine Mammal Biology
  • Neural Network Machine Learning.

Technology Areas

  • Space