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A computational model of echo processing and acoustic imaging in frequency- modulated echolocating bats: The spectrogram correlation and transformation receiver
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1993
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The SCAT model encodes the bat’s FM sonar transmissions and echoes into a spectrogram, then processes temporal and spectral information through parallel pathways to reconstruct absolute range and fine range structure, converging into an image of echo delay that is equivalent to simultaneous forward and inverse transforms yielding target impulse responses by spectrogram deconvolution. The model accurately reproduces the images perceived by *Eptesicus fuscus* in behavioral tests of two‑glint resolution, echo‑phase sensitivity, amplitude‑latency trading, time‑ versus frequency‑domain image dissociation, and ranging accuracy in noise.
The spectrogram correlation and transformation (SCAT) model of the sonar receiver in the big brown bat (Eptesicus fuscus) consists of a cochlear component for encoding the bat’s FM sonar transmissions and multiple FM echoes in a spectrogram format, followed by two parallel pathways for processing temporal and spectral information in sonar echoes to reconstruct the absolute range and fine range structure of multiple targets from echo spectrograms. The outputs of computations taking place along these parallel pathways converge to be displayed along a computed image dimension of echo delay or target range. The resulting image depicts the location of various reflecting sources in different targets along the range axis. This series of transforms is equivalent to simultaneous, parallel forward and inverse transforms on sonar echoes, yielding the impulse responses of targets by deconvolution of the spectrograms. The performance of the model accurately reproduces the images perceived by Eptesicus in a variety of behavioral experiments on two-glint resolution in range, echo phase sensitivity, amplitude-latency trading of range estimates, dissociation of time- and frequency-domain image components, and ranging accuracy in noise.