A Bio-inspired Model Reliably Predicts the Collision of Approaching Objects under Different Light Conditions
In this paper, we present a model of the Lobula Giant Movement Detector, which is a part of a visual pathway responsible for triggering collision avoidance manouvres in the locust Locusta Migratoria. Also based on locust neural adaptation to transitions in light intensities, the model proposed here integrates a mechanism for light adaptation. The tests performed with the model demonstrate its ability to reproduce several characteristic properties of the LGMD response, including the firing rate profile for different visual stimuli. Additionally, results obtained for different light conditions show that the increase in the LGMD model efficiency is provided by the new mechanism of light adaptation. In here, the LGMD is presented as an ideal model to develop sensors for automatic collision detection.
KeywordsBio-inspired model Lobula Giant Movement Detector neuron artificial neural networks collision avoidance spatiotemporal summation
Unable to display preview. Download preview PDF.
- 1.Zupanc, G.K.H.: Behavioral Neurobiology: An Integrative Approach. Oxford University Press (2010)Google Scholar
- 2.O’Shea, M., Williams, J.L.D.: The anatomy and output connection of a locust visual interneurone; the lobular giant movement detector (LGMD) neuron. Journal of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioral Physiology, 257–266 (1974)Google Scholar
- 3.Chapman, R.F.: The insects: Structure and Function. Hodder and Stoughton, London (1980)Google Scholar
- 5.Gabbiani, F., Krapp, H., Laurent, G.: Computation of object approach by a wide-field motion-sensitive neuron. J. Neurosci. 19, 1122–1141 (1999)Google Scholar
- 6.Gabbiani, F., Mo, C., Laurent, G.: Invariance of Angular Threshold Computation in a Wide-Field Looming-Sensitive Neuron. The Journal of Neuroscience 21(1), 314–329 (2001)Google Scholar
- 8.Gray, J.R., Lee, J.K., Robertson, R.M.: Activity of descending contralateral movement detector neurons and collision avoidance behaviour in response to head-on visual stimuli in locusts. Journal of Comparative Physiology A, 115–129 (2001)Google Scholar
- 9.Rind, F.C.: Non-directional, movement sensitive neurones of the locust optic lobe. Journal of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioral Physiology, 477–494 (1987)Google Scholar
- 12.Rind, F.C., Bramwell, D.I.: Neural Network Based on the Input Organization of an Identified Neuron Signaling Impeding Collision. Journal of Neurophysiology 75(3), 967–985 (1996)Google Scholar
- 16.Meng, H., Yue, S., Hunter, A., Appiah, K., Hobden, M., Priestley, N., Hobden, P., Pettit, C.: A modified neural network model for the Lobula Giant Movement Detector with additional depth movement feature. In: Proceedings of International Joint Conference on Neural Networks, Atlanta, Georgia, pp. 14–19 (2009)Google Scholar
- 17.Badia, S.B.I., Bernardet, U., Verschure, P.F.M.J.: Non-Linear Neuronal Responses as an Emergent Property of Afferent Networks: A Case Study of the Locust Lobula Giant Movement Detector. PLoS Comput. Biol. 6(3), e1000701 (2010)Google Scholar