Summary
Humans are physical systems of a special biological kind that can perceive. The act of human perception can be conceptualized in terms of three components: inputs from the environment, processing mechanisms that operate on those inputs, and output products in the form of percepts. Causal relationships among and within these components of perception are in some cases mysterious, and this has led to extensive discussions of these issues in both the philosophical and the scientific literature. Biological theories have focused on the causal chain that progresses from the environment through neural activity in the brain to our percepts. Psychological theories have attempted to characterize the processes by which percepts are formed from a perspective of information theory. More broad-based integrative approaches try to take into account computational, biological, and psychological levels of description with levels of analysis ranging from molar to molecular. Models that range from simplifying to realistic serve as important tools used by scientists in trying to understand perception. Ultimately, the most realistic models, in the form of perceiving robots, may cease being mere models and take on characteristics of perceiving agents.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Selected Reading List
Barlow, H.B. 1972. Single units and sensation: A neuron doctrine for perceptual psychology? Perception 1:371–394.
Boring, E.G. 1942. Sensation and Perception in the History of Experimental Psychology. New York: Appleton Crofts.
Churchland, P.S. 1982. Mind-brain reduction: New light from the philosophy of science. Neuroscience 7:1041–1047.
Churchland, P.S., and Sejnowski, T. 1992. Computational Neuroscience. Cambridge: MIT Press.
Cosmides, L., and Tooby, J. 1995. From function to structure: The role of evolutionary biology and computational theories in cognitive neuroscience. In The Cognitive Neurosciences, ed. M. Gazzaniga, pp. 1199–1210. Cambridge: MIT Press.
Descartes, R. [1637] 1965. The optics. Reprinted in Discourse on Method, Optics, Geometry, and Meteorology, trans. P. Olscamp. Indianapolis: Bobbs-Merrill.
Glanz, J. 1995. Measurements are the only reality, say quantum tests. Science 270:1439–1440.
Helmholtz, H. 1924. Helmholtz’s Treatise on Physiological Optics, trans. ed. J.P.C. Southall. Rochester, NY: The Optical Society of America.
James, W. 1890. The Principles of Psychology. New York: Henry Holt.
Koch, C., and Laurent, G. 1999. Complexity and the nervous system. Science 284:96–98.
Marr, D. 1982. Vision: A Computational Investigation into the Human Representation and Processing of Visual Information. San Francisco: Freeman.
McClelland, J., Rummelhart, D.E., and the PDP Research Group. 1986. Parallel Distributed Processing: Exploration in the Microstructure of Cognition, Vols. 1 and 2. Cambridge: MIT Press.
Mountcastle, V.B. 1986. The neural mechanisms of cognitive functions can now be studied directly. Trends Nuerosci. 9:505–508.
Pais, A. 1982. Subtle is the Lord: The Science and Life of Albert Einstein. New York: Oxford University Press.
Reed, E.S. 1988. James J. Gibson and the Psychology of Perception. New Haven, CT: Yale University Press.
Teller, D.Y. 1980. Locus questions in visual science. In Visual Coding and Adaptability, ed. C. Harris. pp. 151–176. Hillsdale, NJ: Erlbaum Associates.
Westheimer, G. 1983. Hermann Helmholtz and origins of sensory physiology. Trends Neurosci. 6:5–9.
Rights and permissions
Copyright information
© 2002 Springer-Verlag New York, Inc.
About this chapter
Cite this chapter
(2002). Conceptual and Philosophical Issues: What Does It Mean to Assert That an Observer Perceives?. In: Perception of the Visual Environment. Springer, New York, NY. https://doi.org/10.1007/0-387-21650-2_1
Download citation
DOI: https://doi.org/10.1007/0-387-21650-2_1
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-98790-3
Online ISBN: 978-0-387-21650-8
eBook Packages: Springer Book Archive