A set of dolphin echolocation signals previously collected from an Atlantic bottlenose dolphin in Kaneohe Bay, Hawai’i are decomposed using a matching pursuit algorithm to further investigate the role of four types o...A set of dolphin echolocation signals previously collected from an Atlantic bottlenose dolphin in Kaneohe Bay, Hawai’i are decomposed using a matching pursuit algorithm to further investigate the role of four types of echolocation signals outlined elsewhere [1]. The method decomposes the echolocation signals into optimal linear expansions of waveforms, which are Gabor functions defined in a dictionary. The method allows for study of the changes in frequency content within a dolphin’s functional bandwidth during discrimination tasks. We investigate the role of the functional bandwidth in terms of the signal energy levels and echolocations task performance. Furthermore, ROC analysis is applied to the relative energies of the matched waveforms to determine probability of discrimination. The results suggest that dolphins may discriminate by inspection of the relevant frequency differences between targets. In addition, the results from the ROC analysis provides insight into the role of the different classes of dolphin signals and of the importance of modification of the outgoing echolocation clicks, which may be fundamental to a dolphin’s ability to identify and discriminate targets.展开更多
For survival,bats of the suborder Microchiropetra emit intense ultrasonic pulses and analyze the weak returning echoes to extract the direction,distance,velocity,size,and shape of the prey.Although these bats and othe...For survival,bats of the suborder Microchiropetra emit intense ultrasonic pulses and analyze the weak returning echoes to extract the direction,distance,velocity,size,and shape of the prey.Although these bats and other mammals share the common layout of the auditory pathway and sound coding mechanism,they have highly developed auditory systems to process biologically relevant pulses at the expense of a reduced visual system.During this active biosonar behavior,they progressively shorten the pulse duration,decrease the amplitude and pulse-echo gap as they search,approach and finally intercept the prey.Presumably,these changes in multiple pulse parameters throughout the entire course of hunting enable them to extract maximal information about localized prey from the returning echoes.To hunt successfully,the auditory system of these bats must be less sensitive to intense emitted pulses but highly sensitive to weak returning echoes.They also need to recognize and differentiate the echoes of their emitted pulses from echoes of pulses emitted by other conspecifics.Past studies have shown the following mechanical and neural adaptive mechanisms underlying the successful bat biosonar behavior:(1)Forward orienting and highly mobile pinnae for effective scanning,signal reception,sound pressure transformation and mobile auditory sensitivity;(2)Avoiding and detecting moving targets more successfully than stationary ones;(3)Coordinated activity of highly developed laryngeal and middle ear muscles during pulse emission and reception;(4)Mechanical and neural attenuation of intense emitted pulses to prepare for better reception of weak returning echoes;(5)Increasing pulse repetition rate to improve multiple-parametric selectivity to echoes;(6)Dynamic variation of duration selectivity and recovery cycle of auditory neurons with hunting phase for better echo analysis;(7)Maximal multiple-parametric selectivity to expected echoes returning within a time window after pulse emission;(8)Pulse-echo delaysensitive neurons in higher auditory centers for echo ranging;(9)Corticofugal modulation to improve on-going multiple-parametric signal processing and reorganize signal representation,and(10)A large area of the superior colliculus,pontine nuclei and cerebellum that is sensitive to sound for sensori-motor integration.All these adaptive mechanisms facilitate the bat to effectively extract prey features for successful hunting.展开更多
文摘A set of dolphin echolocation signals previously collected from an Atlantic bottlenose dolphin in Kaneohe Bay, Hawai’i are decomposed using a matching pursuit algorithm to further investigate the role of four types of echolocation signals outlined elsewhere [1]. The method decomposes the echolocation signals into optimal linear expansions of waveforms, which are Gabor functions defined in a dictionary. The method allows for study of the changes in frequency content within a dolphin’s functional bandwidth during discrimination tasks. We investigate the role of the functional bandwidth in terms of the signal energy levels and echolocations task performance. Furthermore, ROC analysis is applied to the relative energies of the matched waveforms to determine probability of discrimination. The results suggest that dolphins may discriminate by inspection of the relevant frequency differences between targets. In addition, the results from the ROC analysis provides insight into the role of the different classes of dolphin signals and of the importance of modification of the outgoing echolocation clicks, which may be fundamental to a dolphin’s ability to identify and discriminate targets.
文摘For survival,bats of the suborder Microchiropetra emit intense ultrasonic pulses and analyze the weak returning echoes to extract the direction,distance,velocity,size,and shape of the prey.Although these bats and other mammals share the common layout of the auditory pathway and sound coding mechanism,they have highly developed auditory systems to process biologically relevant pulses at the expense of a reduced visual system.During this active biosonar behavior,they progressively shorten the pulse duration,decrease the amplitude and pulse-echo gap as they search,approach and finally intercept the prey.Presumably,these changes in multiple pulse parameters throughout the entire course of hunting enable them to extract maximal information about localized prey from the returning echoes.To hunt successfully,the auditory system of these bats must be less sensitive to intense emitted pulses but highly sensitive to weak returning echoes.They also need to recognize and differentiate the echoes of their emitted pulses from echoes of pulses emitted by other conspecifics.Past studies have shown the following mechanical and neural adaptive mechanisms underlying the successful bat biosonar behavior:(1)Forward orienting and highly mobile pinnae for effective scanning,signal reception,sound pressure transformation and mobile auditory sensitivity;(2)Avoiding and detecting moving targets more successfully than stationary ones;(3)Coordinated activity of highly developed laryngeal and middle ear muscles during pulse emission and reception;(4)Mechanical and neural attenuation of intense emitted pulses to prepare for better reception of weak returning echoes;(5)Increasing pulse repetition rate to improve multiple-parametric selectivity to echoes;(6)Dynamic variation of duration selectivity and recovery cycle of auditory neurons with hunting phase for better echo analysis;(7)Maximal multiple-parametric selectivity to expected echoes returning within a time window after pulse emission;(8)Pulse-echo delaysensitive neurons in higher auditory centers for echo ranging;(9)Corticofugal modulation to improve on-going multiple-parametric signal processing and reorganize signal representation,and(10)A large area of the superior colliculus,pontine nuclei and cerebellum that is sensitive to sound for sensori-motor integration.All these adaptive mechanisms facilitate the bat to effectively extract prey features for successful hunting.
