The Role and Modelling of Presynaptic Inhibition in the Visual Pathway: Applications in Image Processing
Presynaptic Inhibition (PI) basically consists of the strong suppression of a neuron’s response before the stimulus reaches the synaptic terminals mediated by a second, inhibitory, neuron. It has a long lasting effect, greatly potentiated by the action of anaesthetics, that has been observed in motorneurons and in several other places of nervous systems, mainly in sensory processing. In this paper we will focus on several different ways of modelling the effect of PI in the visual pathway as well as the different artificial counterparts derived from such modelling, mainly in two directions: the possibility of computing invariant representations against general changes in illumination of the input image impinging the retina (which is equivalent to a low-level non linear information processing filter) and the role of PI as selector of sets of stimulae that have to be derived to higher brain areas, which, in turn, is equivalent to a “higher-level filter” of information, in the sense of “filtering” the possible semantic content of the information that is allowed to reach later stages of processing.
KeywordsGanglion Cell Input Image Visual Pathway Presynaptic Inhibition Movement Discrimination
Unable to display preview. Download preview PDF.
- Lettvin, J.Y.: Form-function relations in neurons, Research Lab. of Electronics, MIT Quarterly Progress Report, pp. 333–335, June 1962.Google Scholar
- Moreno-Díaz, R.: An analytical model of the Group 2 ganglion cell in the frog’s retina, Instrumentation Lab., MIT Quarterly Progress Report, pp. 1–34, October 1965.Google Scholar
- Munoz-Blanco, J. A.: Jerarquización de estructuras de nivel bajo y medio para reconocimiento visual, PhD Dissertation, University of Las Palmas de Gran Canaria, 1987.Google Scholar
- Truex, R. C., Carpenter, M.B.: Human Neuroanatomy, Williams and Wilkins, Baltimore, USA, 1969.Google Scholar
- Graham B., Redman S.: A Simulation of Action Potentials in Synaptic Boutons During Presynaptic Inhibition, Journal of Neurophysiology, Vol. 71, No 2, February 1994.Google Scholar
- Hagiwara S., Tasaki I.: A Studdy of the Mechanism of Impulse Tranmission Across the Giant Synapse of the Squid, Journal of Neurophysiology, Vol. 143, 1958.Google Scholar
- Moreno-Diaz jr R.: Computation Paralela y Distribuida: relation estructura-funcián en retinas, PhD Dissertation, University of Las Palmas de Gran Canaria, 1993.Google Scholar
- Kandel, E. R.: Processing of form and movement in the visual system, Sensory Systems of the Brain: Sensation and Perception, 1990.Google Scholar
- Quevedo-Losada, J. C., Bolivar-Toledo, O., Moreno-Diaz jr, R.: Image Transforms based on Retinal Concepts, R. Trappl Ed. Cybernetics and Systems 98, University of Vienna, Austria, pp.312–316, 1998.Google Scholar
- Moreno-Diaz jr, R.: On structure, function and time in retinae, R. Moreno-Diaz and Mira-Mira Eds. Brain Processes, Theories and Models, The MIT Press, Cambridge, Mass, USA, pp. 430–435, 1996.Google Scholar
- Alemán-Flores, M., Leibovic, K. N., Moreno-Diaz jr, R.: A computational model for visual size, location and movement, R. Moreno-Diaz and F. Pichler Eds. Computer Aided Systems Theory, Springer Lecture Notes in Computer Science, V1333, pp.406–419, 1997.Google Scholar
- Moreno-Diaz, R., Alemán-Flores, M., Moreno-Diaz jr, R.: A bio-inspired method for visual movement discrimination, R. Trappl Ed. Cybernetics and Systems 98, University of Vienna, Austria, pp.307–311, 1998.Google Scholar