How Bats Use Echolocation to Navigate and Hunt

Echolocation is the biological sonar system used by around 1000 bat species to navigate, orient, and detect insect prey in darkness. Bats emit ultrasonic calls and analyze the returning echoes to build a spatial representation of their environment. This article explains the physics of sound production, the frequency ranges different bat families use, the neural processing that converts echoes into spatial maps, and the ecological and evolutionary context of this sensory system. The content is intended for students, researchers, life-science professionals, and informed general readers seeking a mechanistic understanding of bat biosonar.

At a Glance

Bat echolocation operates through a cycle of call emission, echo reception, and neural processing. The table below summarizes the major echolocation call types across bat families, their acoustic features, and their primary functions.

The distinction between call types reflects adaptation to ecological niches. Bats that forage in open spaces tend to use lower frequency, longer duration calls that travel farther. Bats that hunt in cluttered vegetation use higher frequency, shorter calls that provide better target resolution at close range. The relationship between habitat structure and call design is central to understanding echolocation diversity.

The Physics of Bat Sonar

Sound Production Mechanisms

Bats generate ultrasonic calls through their larynx, with the vocal membranes vibrating to produce frequencies above the human hearing range of 20 kHz. The calls are emitted through the mouth or nostrils depending on the species. Bats with nose leaves, such as the fringe-lipped bat Trachops cirrhosus, emit calls through the nostrils, and the nose leaf is hypothesized to direct and focus the sound beam. Research on T. cirrhosus shows that it emits a highly directional sound beam with a half amplitude angle of 12 to 18 degrees and a directionality index of approximately 17 dB, among the most directional bat sonar beams measured to date. The emitted intensity was around 88 dB SPL at 10 cm from the mouth when hanging, but higher at around 100 dB SPL at 10 cm when flying or just before takeoff. This suggests that the limited search volume defined by high directionality and low intensity is adapted to the highly cluttered hunting habitat and perch hunting mode of this species.

Frequency and Wavelength

The frequency of a bat call determines its wavelength and therefore the size of objects it can resolve. Big brown bats broadcast short, wideband ultrasonic FM pulses containing frequencies from 100 to 20 kHz, corresponding to wavelengths of 0.34 to 1.7 cm. Smaller wavelengths allow detection of smaller targets, which is why bats that hunt small insects use higher frequency calls. The ability to exploit ultrasound to detect very small targets such as insects opened up a large nocturnal niche to bats and may have spurred diversification in both echolocation and foraging tactics.

Call Duration and Inter-Pulse Interval

Bats adjust the duration of their calls and the interval between pulses according to the task. During the search phase, bats emit isolated pulses with long durations and long inter-pulse intervals. As they approach a target, the call rate increases and pulse duration decreases. In the constant-frequency bat Rhinolophus nippon, call rate increased 3.15-fold during the approach phase compared to search, while pulse duration, inter-pulse intervals, root mean square amplitude, and pulse energy decreased to 65.23%, 25.82%, 78.50%, and 86.32% of the corresponding search-phase values. Peak amplitude increased to 110.99% of search-phase values. This flexible adjustment of call structure allows the bat to update its spatial information more rapidly as the distance to the target closes.

How Bats Process Returning Echoes

Time Delay and Range Perception

Bats perceive target distance by measuring the time delay between the outgoing pulse and the returning echo. The accuracy of this delay perception depends on the frequency content of the echoes and the microsecond-level coherence between neural representations of the first and second harmonic frequencies. This temporal processing is among the most precise in the mammalian auditory system.

Target Shape and Glint Analysis

Bats perceive target shape by estimating differences in the delay of mini-echoes from different reflecting points, or glints, within the target. A matched-filter receiver would register glints as prominent peaks in the pulse-echo cross-correlation output. In bats, overlapping glint reflections mix together to create echo interference patterns that are transposed back into delay estimates. This process is modeled as spectrogram correlation and transformation. The first, nearest glint is registered by echo delay itself, while subsequent glints are extracted from the nulls in the interference spectrum. This mechanism allows bats to discriminate between targets with different surface structures, such as a moth with fluttering wings versus a stationary leaf.

Binaural Processing

Bats use binaural cues to localize sounds in azimuth and elevation. The comparison of arrival time and intensity between the two ears provides directional information. The neuroanatomical specializations that support this processing are evident in the lower brainstem auditory pathways of all microchiropteran bats. Certain pathways related to accurate processing of temporal information and auditory control of motor activity are hypertrophied or organized differently from those in nonecholocating species. Through changes in the strengths and timing of synaptic inputs to neurons in these pathways, bats have optimized the mechanisms for analysis of complex sound patterns to derive accurate information about objects in their environment and direct behavior toward those objects.

Neural Specializations for Echolocation

Auditory Brainstem Pathways

The bat nervous system follows the general mammalian plan in both structure and function, but it has undergone modifications associated with flight and echolocation. The most obvious neuroanatomical specializations are seen in the cochleas of certain bat species and in the lower brainstem auditory pathways of all microchiroptera. These specializations support the precise temporal processing required for echo delay measurement.

Combination-Sensitive Neurons

Three mechanisms create specific auditory sensitivity to echoes. First, time windows of enhanced echo processing are opened by a corollary discharge of neuronal vocalization commands. Second, differentiation and expansion of ensembles of combination-sensitive neurons occur in the midbrain. Third, corticofugal top-down modulations shape auditory responses. These mechanisms allow bats to distinguish echoes from the outgoing call and from background noise.

Hippocampal Spatial Maps

Recent research demonstrates auditory object representation in the hippocampus of echolocating bats. Two distinct populations of hippocampal CA1 neurons have been identified, one encoding allocentric object location and another encoding egocentric object distance. During trials when the bat ceased object tracking, the spatial code degraded. These findings reveal that auditory information alone can drive the construction of cognitive maps of space, with hippocampal auditory object representations activated by the animal's sonar tracking. This provides a neural basis for how bats navigate complex environments using acoustic information.

Audiovocal Control and Feedback

State Feedback Control

Fine audiovocal control is a hallmark of human speech production and depends on precisely coordinated muscle activity guided by sensory feedback. Research on the echolocating bat Hipposideros armiger applied state feedback control theory to the analysis of call frequency adjustments. The experimental paradigm was analogous to one implemented in human subjects, measuring the bats' vocal responses to spectrally altered echolocation calls. Individual bats exhibited highly distinct patterns of vocal compensation to these altered calls. Using mathematical modeling, researchers determined that the same computational principles of state feedback control apply to bat echolocation and human speech. This confirms that shared audiovocal mechanisms exist between humans and other mammals.

Real-Time Adjustment

Bats adjust their calls in real time based on the echoes they receive. This is evident in the adaptive temporal control over sonar call production. Big brown bats tracked moving targets from a resting position and produced sonar sound groups, which are clusters of echolocation pulses with relatively stable intervals surrounded by longer pulse intervals. The prevalence of these sonar sound groups increased when the motion of the target was unpredictable. Sonar sound groups produced during flight and sonar call doublets produced by a bat tracking a target from a resting position help the animal resolve dynamic target location and represent the echo scene in greater detail.

Reaction Times in Dynamic Situations

Trawling bats such as Noctilio leporinus demonstrate rapid adaptive control. These bats use echolocation to detect insects at and above water surfaces and small water-dwelling prey items that break the water surface for a very short time. Bats typically started to adapt their calling behavior approximately 410 ms before prey contact in continuous cue trials but were also able to adapt their approach behavior to stimulus onsets as short as 177 ms before contact, within a minimum reaction time of 50.9 ms in response to transient cues. In both tasks the approach phase ended between 32 and 53 ms before prey contact. Call emission always continued after the end of the approach phase until around prey contact. These results suggest that trawling bats possess the ability to modify their generally rather stereotyped echolocation behavior during approaches within very short reaction times depending on the sensory information available.

Echolocation Call Types Across Bat Families

Constant Frequency Calls

Constant frequency calls are narrowband signals that bats use for detecting fluttering targets. Horseshoe bats of the family Rhinolophidae are the classic example. These bats emit a long constant frequency component with a brief frequency modulated sweep at the end. The constant frequency portion allows the bat to detect the Doppler shift caused by the wing beats of insects, which modulates the frequency of the returning echo. The cochlea of constant frequency bats is specialized with a resonant mechanism that is finely tuned to the frequency of the emitted call. This allows extremely sensitive detection of frequency modulations in the echo.

Frequency Modulated Calls

Frequency modulated calls are broadband sweeps that provide accurate range information. Big brown bats use this call type. The wide bandwidth allows precise measurement of echo delay because the bat can compare the timing of different frequency components. The spectrogram correlation and transformation model describes how bats extract target shape information from the interference patterns created by overlapping glint reflections.

CF-FM Composite Calls

Some bats combine constant frequency and frequency modulated components. The Pratt's roundleaf bat and the great leaf-nosed bat Hipposideros pratti use this strategy. The constant frequency portion supports Doppler shift detection while the frequency modulated sweep provides range resolution. These bats also show remarkable stability in the constant frequency of their calls even when exposed to noise, maintaining consistent call frequency while increasing call intensity.

Ecological Adaptation of Call Design

The diversity of echolocation call types reflects adaptation to different foraging niches. Habitat type and foraging mode determine the foraging tasks and thus the adaptations of bats. Seven guilds have been defined based on habitat type and foraging mode. The habitat types open, edge, and narrow space are defined according to the bats' echolocation behavior in relation to the distance between bat and background or food item and background. Bats foraging in the aerial, trawling, flutter detecting, or active gleaning mode use only echolocation to acquire their food. When foraging in the passive gleaning mode bats do not use echolocation but rely on sensory cues from the food item to find it.

Echolocation and Vision Integration

Complementary Sensory Ranges

Echolocation and vision have different detection ranges. Research comparing the echolocation and visual detection ranges of two bat species with different foraging strategies found that echolocation is better than vision for detecting small insects even in intermediate light levels of 1 to 10 lux. Vision is advantageous for monitoring far-away landscape elements in both species. Bats constantly integrate information acquired by the two sensory modalities. During evolution, echolocation was refined to detect increasingly small targets in conjunction with using vision. The ability to hear ultrasonic sound was a prerequisite that was readily available in small mammals but absent in many other animal groups.

Behavioral Flexibility

The frog-eating bat Trachops cirrhosus demonstrates flexibility in sensory strategies. This bat primarily hunts stationary prey, either by gleaning on the wing or in a sit-and-wait mode hanging from a perch. It listens passively for prey-generated sounds but uses echolocation in all stages of the hunt. The bat is highly flexible in its cognitive abilities and its use of sensory strategies for prey detection. It has been observed to echolocate both with closed and open mouth, and its flexibility extends to echolocation call design.

Energy Costs of Echolocation

Metabolic Demands

Echolocation is metabolically demanding. Studies of stationary, non-foraging lesser bulldog bats Noctilio albiventris found metabolic rates to increase by 0.021 J per pulse with a standard error of 0.001 J. From this, researchers estimated the metabolic rates of these bats when responding with ultrasound echolocation calls to playbacks of calls from familiar and unfamiliar conspecific as well as heterospecific bats. Lesser bulldog bats adjusted their energetic investment to the social information contained in the presented playback. These results are consistent with the hypothesis that in addition to orientation and foraging, ultrasound calls in bats may also have a function for active communication.

Energy Expenditure During Approach

Research on the constant-frequency bat Rhinolophus nippon examined energy expenditure during echolocation using a miniature electrocardiogram system and a custom servomotor that moved prey toward stationary bats. This setup allowed synchronous recording of high-resolution electrocardiogram and echolocation calls from the search phase to the approach phase. Despite the increased call rate during the approach phase, neither heart rate nor metabolic rate differed between phases. This provides direct physiological evidence that bats can increase call rate without proportional increases in energy expenditure, suggesting efficient mechanisms for sound production.

Environmental Noise and Echolocation Interference

Acoustic Masking

Environmental noise can disturb bat behavior and echolocation through three potential mechanisms: acoustic masking, reduced attention, and noise avoidance. Acoustic masking is thought to occur only when the signal and background noise overlap spectrally and temporally. However, research on the CF-FM bat Hipposideros pratti found that spectrally non-overlapping noise can also impart an acoustic masking effect. The bats called at higher intensities while keeping the constant frequencies of their echolocation pulses consistent. Electrophysiological tests indicated that the noise could decrease auditory sensitivity and sharp intensity tuning. Because anthropogenic noises are usually concentrated at low frequencies and are spectrally non-overlapping with bat echolocation pulses, these results provide evidence of negative consequences of anthropogenic noise in foraging habitats.

Distraction Effects

Noise can also distract bats by occupying attentional or cognitive resources. Research on the gleaning pallid bat Antrozous pallidus used band-limited white noise treatments that either overlapped the frequencies of a prey cue or did not overlap this cue. Evidence indicates that distraction is a primary driver of reduced hunting efficacy in this acoustically mediated predator. Under exposure to both noise types, successful prey localization declined by half, search time nearly tripled, and bats used 25% more sonar pulses than when hunting in ambient conditions. The pallid bat does not seem capable of compensating for environmental noise. These findings have implications for mitigation strategies, specifically the importance of reducing sources of noise on the landscape instead of attempting to reduce the bandwidth of anthropogenic noise.

Evolution of Echolocation

Preassembly Model

The evolution of echolocation has been explained through an extension of neo-Darwinism termed preassembly. This model states that genetic material required for many complex traits, such as echolocation, was present long before emergence of the traits. Assembly of genes and gene segments had occurred over protracted time periods within large libraries of non-coding genes. Epigenetic factors ultimately promoted transfers from noncoding to coding genes, leading to abrupt formation of the trait via de novo genes. This preassembly model explains the formation of super-complexity in the absence of multiple fossil precursors, as with bat echolocation.

Auditory Pathway Evolution

The evolution of echolocation involved neuronal specializations in the ascending auditory pathway. Three different mechanisms are considered that may create a specific auditory sensitivity to echoes: time windows of enhanced echo processing opened by a corollary discharge of neuronal vocalization commands, differentiation and expansion of ensembles of combination-sensitive neurons in the midbrain, and corticofugal top-down modulations. Three different types of echolocation are interpreted as adaptations to ecological niches. The sophisticated cochlear specializations in constant-frequency and frequency-modulated bats serve as a case study of finely tuned differentiation. A resonant mechanism in the inner ear of constant-frequency and frequency-modulated bats may have evolved in the common mammalian cochlea.

Echolocation in Non-Bat Species

Echolocation is not unique to bats. The South American Oilbird and certain swiftlets also use biosonar. Bird echolocation is restricted to lower frequencies audible to humans, implying a system of poorer resolution than the ultrasonic biosonar of most bats and toothed whales. Echolocation is found in at least 16 extant bird species and has evolved several times in avian lineages. Birds use their syringes to produce broadband click-type biosonar signals that allow them to nest in dark caves and tunnels. Bird echolocation performance appears to be superior to that of blind humans using signals of notable similarity, but no apparent specializations have been found so far in the birds' auditory system.

Biomimetic Applications

Bat Algorithm in Optimization

The echolocation mechanism of bats has inspired computational algorithms. The bat algorithm is a stochastic global optimization algorithm based on the echolocation mechanism and living and preying characteristics of bats. A cloud model bat algorithm was proposed that utilizes the transformation theory of cloud models to depict the qualitative concept of bats approaching their prey. Levy flight mode and population information communication mechanisms of bats are introduced to balance the advantage between exploration and exploitation. Simulation results show that the cloud model bat algorithm has good performance on function optimization.

Time-Varying Autoregressive Modeling

Bat echolocation is among the most efficient biological sonar known to humans and is highly valuable for biomimetic research. Most bats produce dynamically changing echolocation signals, which is the key to high task performance. Although considerable progress has been made in bat sonar bionics research, the working mechanism of the bat sonar system has not yet been fully revealed, mainly reflecting the imperfect parameterized model of the bat vocal system. A time-varying autoregressive model describes bat echolocation signal production, with the trajectory of model parameter changes modeled as segmental constant and continuous change. Using echolocation signals recorded from Pratt's roundleaf bats performing an approach-and-land task in the laboratory, naturalistic echolocation signals can be simulated with high quality. The model can also be extended to simulate echolocation signals of distinct bat species.

SCAT Biosonar Model

The spectrogram correlation and transformation model has been evaluated for its ability to locate targets with specific glint spacing in the two-dimensional range and cross-range plane while rejecting other targets with larger or smaller spacings. This biomimetic approach has potential applications in sonar and radar systems where discrimination of closely spaced targets is required.

Common Misconceptions About Bat Echolocation

Bats Are Not Blind

The phrase blind as a bat is inaccurate. Many bats have functional vision that complements echolocation. Research shows that bats integrate information from both sensory modalities, using vision for monitoring far-away landscape elements and echolocation for detecting small targets at close range.

Echolocation Is Not Continuous

Bats do not emit calls continuously. They produce discrete pulses with intervals that vary according to the task. During search, pulses are isolated with long intervals. During approach, call rate increases dramatically. This adaptive temporal control is essential for negotiating complex and dynamic environments.

All Bats Do Not Use the Same Echolocation System

The diversity of echolocation call types across bat families reflects adaptation to different ecological niches. Call frequency, duration, and structure vary widely. Some bats use constant frequency calls, others use frequency modulated sweeps, and many combine both strategies.

Research Methods in Echolocation Studies

Acoustic Recording

Researchers record bat echolocation calls using ultrasonic microphones and high-speed data acquisition systems. Multi-microphone arrays allow measurement of sound beam directionality. High-speed video cameras synchronized with microphone systems allow direct visualization of the echolocation sound beam coordinated with bat behavior.

Playback Experiments

Playback experiments involve presenting bats with altered versions of their own calls or with calls from other individuals. These experiments reveal the mechanisms of audiovocal control. When bats hear spectrally altered versions of their own calls, they adjust their vocal output in ways that mirror human responses to altered speech.

Electrophysiology

Electrophysiological recordings from the auditory pathway reveal how bats process echoes. Studies of the cochlea and brainstem auditory nuclei have identified specializations for temporal processing. Hippocampal recordings have revealed auditory object representations that support spatial mapping.

Physiological Monitoring

Miniature electrocardiogram systems allow measurement of heart rate during echolocation. This approach has revealed that bats can increase call rate without proportional increases in metabolic rate, suggesting efficient sound production mechanisms.

Limitations of Current Knowledge

Incomplete Understanding of the Bat Vocal System

Although considerable progress has been made in bat sonar bionics research, the working mechanism of the bat sonar system has not yet been fully revealed. The main limitation is the imperfect parameterized model of the bat vocal system. The time-varying autoregressive model represents a step forward but does not capture all aspects of signal production.

Gaps in Understanding Bird Echolocation

There are ongoing discrepancies about several details of bird echolocation, from signal design to the question about whether echolocation is used during foraging. It remains to be seen if bird echolocation is as sophisticated as that of tongue-clicking rousette bats. The advent of lightweight recording equipment and custom software for examining signals and reconstructing flight paths now provides the potential to study the echolocation behavior of birds in more detail.

Anthropogenic Noise Impacts

The mechanisms by which noise disrupts bat hunting behavior are still being characterized. Evidence supports both masking and distraction as primary drivers, but the relative importance of each mechanism across species and habitats requires further study. The finding that bats do not seem capable of compensating for environmental noise has implications for conservation and mitigation strategies.

Professional Escalation Criteria

Researchers and wildlife professionals working with bats should escalate concerns to appropriate authorities in specific situations. If bats are found in buildings or structures, contact local wildlife authorities instead of attempting removal. If injured or sick bats are discovered, do not handle them directly due to rabies risk. Contact a licensed wildlife rehabilitator. If acoustic surveys reveal unexpected declines in bat activity, report observations to regional conservation programs. If anthropogenic noise sources are identified near known bat foraging habitats, document the noise characteristics and bat behavior and report to environmental management agencies. These actions support evidence-based conservation and public safety.

Frequently Asked Questions

How do bats produce echolocation calls?

Bats produce ultrasonic calls through their larynx, with vocal membranes vibrating to generate frequencies above 20 kHz. The calls are emitted through the mouth or nostrils depending on the species. Bats with nose leaves emit calls through the nostrils, and the nose leaf helps direct and focus the sound beam. The laryngeal mechanism allows rapid modulation of frequency and amplitude, enabling the flexible call structures observed across different species and behavioral contexts.

What frequencies do bats use for echolocation?

Bat echolocation calls range from about 20 kHz to over 100 kHz depending on the species. Big brown bats broadcast frequencies from 100 to 20 kHz, corresponding to wavelengths of 0.34 to 1.7 cm. Constant frequency bats such as horseshoe bats use narrowband signals at species-specific frequencies. The frequency determines the wavelength and therefore the size of objects the bat can resolve, with higher frequencies allowing detection of smaller targets.

How do bats measure distance to objects?

Bats measure distance by determining the time delay between the outgoing pulse and the returning echo. The accuracy of this delay perception depends on the frequency content of the echoes and the microsecond-level coherence between neural representations of the first and second harmonic frequencies. This temporal processing allows bats to estimate target range with high precision.

How do bats distinguish between different types of targets?

Bats perceive target shape by estimating differences in the delay of mini-echoes from different reflecting points, or glints, within the target. Overlapping glint reflections mix together to create echo interference patterns that are transposed back into delay estimates. The first, nearest glint is registered by echo delay itself, while subsequent glints are extracted from the nulls in the interference spectrum. This allows bats to discriminate between targets with different surface structures.

Do bats use vision in addition to echolocation?

Yes, bats integrate information from both sensory modalities. Research shows that echolocation is better than vision for detecting small insects even in intermediate light levels of 1 to 10 lux, while vision is advantageous for monitoring far-away landscape elements. Bats constantly integrate information acquired by the two sensory modalities, with echolocation refined to detect increasingly small targets in conjunction with using vision.

How does noise affect bat echolocation?

Noise can disturb bat behavior and echolocation through acoustic masking, reduced attention, and noise avoidance. Acoustic masking can occur even when noise does not spectrally overlap with echolocation pulses. In pallid bats, exposure to noise reduced successful prey localization by half, nearly tripled search time, and increased sonar pulse use by 25%. Bats do not appear capable of fully compensating for environmental noise.

Is echolocation energetically expensive for bats?

Echolocation is metabolically demanding, with stationary lesser bulldog bats showing metabolic rate increases of 0.021 J per pulse. However, research on Rhinolophus nippon found that despite increased call rate during approach, neither heart rate nor metabolic rate differed between search and approach phases. This suggests bats can increase call rate without proportional increases in energy expenditure.

Do other animals use echolocation?

Yes, echolocation is found in at least 16 extant bird species, including the South American Oilbird and certain swiftlets. Bird echolocation is restricted to lower frequencies audible to humans, implying a system of poorer resolution than the ultrasonic biosonar of most bats and toothed whales. Bird echolocation has evolved several times in avian lineages and allows them to nest in dark caves and tunnels.

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References and Further Reading

• NCBI Literature Resources. National Center for Biotechnology Information.
• PubMed. National Library of Medicine.
• Bat echolocation signals based on the time-varying autoregressive method.. Frontiers in zoology, 2025.
• Sensory error drives fine motor adjustment.. Proceedings of the National Academy of Sciences of the United States of America, 2022.
• Noise distracts foraging bats.. Proceedings. Biological sciences, 2021.
• Evolutionary aspects of bat echolocation.. Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology, 2003.
• Spectrally non-overlapping background noise disturbs echolocation via acoustic masking in the CF-FM bat, Hipposideros pratti.. Conservation physiology, 2023.
• Neurobiological specializations in echolocating bats.. The anatomical record. Part A, Discoveries in molecular, cellular, and evolutionary biology, 2005.
• Evolution of Complexity. Molecular Aspects of Preassembly.. Molecules (Basel, Switzerland), 2021.
• Cloud model bat algorithm.. TheScientificWorldJournal, 2014.
• Energy Expenditure Optimization in the Echolocation of &lt,i&gt,Rhinolophus nippon&lt,/i&gt,: Evidence from Heart Rate Stability.. 2026.
• Simulated target search by bats using biomimetic SCAT biosonar model.. 2026.
• Auditory object representation in the bat hippocampus.. 2025.
• It's not black or white-on the range of vision and echolocation in echolocating bats. Frontiers in Physiology, 2013.
• Bat guilds, a concept to classify the highly diverse foraging and echolocation behaviors of microchiropteran bats. Frontiers in Physiology, 2013.
• Echolocation in Oilbirds and swiftlets. Frontiers in Physiology, 2013.
• Timing matters: sonar call groups facilitate target localization in bats. Frontiers in Physiology, 2014.
• Echolocation intensity and directionality of perching and flying fringe-lipped bats, Trachops cirrhosus (Phyllostomidae). Frontiers in Physiology, 2013.
• Metabolic costs of bat echolocation in a non-foraging context support a role in communication. Frontiers in Physiology, 2013.
• Flexible echolocation behavior of trawling bats during approach of continuous or transient prey cues. Frontiers in Physiology, 2013.
• Bats are unusually insensitive to brief low-frequency tones. Journal of Comparative Physiology, 2019.
• A gating mechanism for sound pattern recognition is correlated with the temporal structure of echolocation sounds in the rufous horseshoe bat. Journal of Comparative Physiology A, 1989.
• Determining the binaural signals in bat echolocation. Cimtec 2008 Proceedings of the 3rd International Conference on Smart Materials Structures and Systems Mining Smartness from Nature, 2008.
• Echolocation call divergence in bats: a comparative analysis. Behavioral Ecology and Sociobiology, 2019.
• Different Auditory Feedback Control for Echolocation and Communication in Horseshoe Bats. Plos One, 2013.

This article is educational and does not replace institutional policy, professional advice, or applicable safety and regulatory requirements.