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Article Dans Une Revue Journal of Comparative Physiology A Année : 2018

Characterization and modelling of looming-sensitive neurons in the crab Neohelice

Résumé

Looming-sensitive neurons (LSNs) are motion-sensitive neurons tuned for detecting imminent collision. Their main characteristic is the selectivity to looming (a 2D representation of an object approach), rather than to receding, stimuli. In this work, we studied a set of LSNs by performing surface extracellular recordings in the optic nerve of Neohelice granulata crabs, and characterized their response against a wide range of computergenerated visual stimuli with different combinations of moving edges, highlighting different components of the optical flow. In addition to their selectivity to looming stimuli, we characterized other properties of these neurons, such as low directionality; reduced response to sustained excitement; and an inhibition phenomena in response to visual stimuli with dense optical flow of expansion, contraction, and translation. To analyze the spatio-temporal processing of these LSNs, we proposed a biologically plausible computational model which was inspired by previous computational models of the locust LGMD neuron. The videos seen by the animal during electrophysiological experiments were applied as an input to the model which produced a satisfactory fit to the measured responses, suggesting that the computation performed by LSNs in a decapod crustacean appears to be based on similar physiological processing previously described for the LGMD in insects.
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Dates et versions

hal-03928580 , version 1 (07-01-2023)

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Julia Carbone, Agustín Gabriel Yabo, Damian Oliva. Characterization and modelling of looming-sensitive neurons in the crab Neohelice. Journal of Comparative Physiology A, 2018, 204 (5), pp.487-503. ⟨10.1007/s00359-018-1257-1⟩. ⟨hal-03928580⟩

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