Abstract
Natural neural network are highly plastic in structure and function and may adapt to long lasting environmental changes. Plasticity and adaptation are not confined to lower level of processing, or to lower vertebrates, but also at the higher levels of visual processing in higher vertebrates are highly dynamic and perform considerable spatial integration. There are numerous influences that play a role in the functional architecture of the retina and the, cortex, the dynamics of the outside environment, the context within which a feature is presented, the history of previous visual stimulation and attention or expectation. The brief report on the visual system is integrated by the report of Giorgio Grisanti proving that the auditory system undergoes reconfiguration of processing area after cochlear implants. The contribution of Vito Roberto outlines, I should say to my surprise the remarkable amount of recent concepts acquired by neurophysiology, that have already been absorbed by artificial intelligence studies.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
J.N. Lythgoe, The Ecology of Vision, Clarendon Press, Oxford (1977).
C.D. Gilbert, Plasticity in visual perception and physiology, Current Opinion in Neurobiol., 6:269–274 (1996).
M.B.A. Djamgoz, H.-J. Wagner, P. Witkowsky, Photoreceptor-horizontal cell connectivity, synaptic transmission and neuromodulation, in: Neurobiology and Clinical Aspects of the Outer Retina, M.B.A. Djamgoz, S.N. Archer, and S. Vallerga eds., Chapman & Hall, London (1995).
S.N. Archer, Molecular biology of visual pigments, in: Neurobiology and Clinical Aspects of the Outer Retina, M.B.A. Djamgoz, S.N. Archer, and S. Vallerga eds., Chapman & Hall, London (1995).
D. Lupi, D. Debernardis, S. Vallerga, P.J. Morgan, and M.B.A. Djamgoz, NADPH diaphorase activity around the suprachiasmatic nucleus in rat brain, Cell and Tissue Res., 283:335–338 (1996).
S. Vallerga, Processing of the Visual Signal in the Vertebrate Retina, in: NATO Advanced Study Program on Cybernetics, C. Taddei-Ferretti ed., Plenum Press (1997).
A. Das and C.D. Gilbert, Long-range horizontal connections and their role in cortical reorganisation revealed by optical recording of cat primary visual cortex, Nature, 375:780–784 (1995).
C. Darian-Smith and C D. Gilbert, Axonal sprouting accompanies functional reorganisation in adult cat striate, Nature, 368:737–740 (1994).
B.L. Beard, D.M. Levi, and L.N. Reich, Perceptual learning in parafoveal vision, Vision Res., 35:1679–1690 (1995).
S. Ullman, Sequence seeking and counter streak: a computational model for bidirectional information flow in the visual cortex, Cereb Cortex, 5:1–11 (1995).
D. Mumford, On the computational architecture of the neocortex, Biol Cybern, 66:2412–245 (1992).
L. Huerta, Central Auditory System Plasticity in Adults, NIH Guide, 24–41 (1995).
G. Grisanti, A. D’Amico, S. Crinò, and J.L. Scilabra, Artificial intelligence in audiology: an expert system for the diagnosis of genetic syndromes with hearing loss, The New Review of Applied Expert Systems, 2:169–183(1996).
N. Dillier, H. Bogli, and T. Spillmann, Speech Discrimination via Cochlear Implants with Two Different Digital Speech Processing Strategies: Preliminary Results for 7 Patients, Scand. Audiol., Suppl.38: 145–153 (1993).
H.R. Dinse, B. Godde, T. Hilger, G. Reuter, S.M. Cords, T. Lenarz, and W. von Seelen, Optical imaging of acute electrical stimulation of a multi-channel cochlear implant on cat auditory cortical organization, Brain and Evolution, Stuttgart, Thieme (1996).
B. Godde, G. Reuter, T. Hilger, S.M. Cords, T. Lenarz, W. von Seelen, and H.R. Dinse, Optical imaging of cat auditory cortex functional topographic organization using intrinsic signals, Brain and Evolution, Stuttgart, Thieme (1996).
D. Parisi and S. Nolfi, Neural Network Learning in an Ecological and Evolutionary Context, Lecture Notes in Artificial Intelligence, Vol. LNAI 745, Springer Verlag, Berlin-Heidelberg, 20–40 (1993).
J.L. Crowley and Y. Demazeau, Principles and Techniques for Sensor Data Fusion, Signal Processing, Vol.32, No. 1-2, 5–27 (1993).
Y. Yeshurun, Attentional Mechanisms in Computer Vision, in: Artificial Vision: Image Description, Recognition and Communication, Academic Press, London, 43–52 (1997).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1997 Springer Science+Business Media New York
About this chapter
Cite this chapter
Vallerga, S., Grisanti, G., Roberto, V. (1997). Panel Summary: Plasticity and Reconfigurability in Sensory Systems. In: Cantoni, V., Di Gesù, V., Setti, A., Tegolo, D. (eds) Human and Machine Perception. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5965-8_10
Download citation
DOI: https://doi.org/10.1007/978-1-4615-5965-8_10
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7734-4
Online ISBN: 978-1-4615-5965-8
eBook Packages: Springer Book Archive