[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content
Log in

The Cognitive Impenetrability of Perception and Theory-Ladenness

  • Special Section Article: Theory-Ladenness
  • Published:
Journal for General Philosophy of Science Aims and scope Submit manuscript

Abstract

In this paper, I claim that since (a) there is a cognitively impenetrable (CI) stage of visual perception, namely early vision, and (b) cognitive penetrability (CP) and theory-ladenness are coextensive, the CI of early vision entails that early vision content is theory neutral. This theory-neutral part undermines relativism. In this paper, I consider two objections against the thesis. The one adduces evidence from cases of rapid perceptual learning to undermine my thesis that early vision is CI. The other emphasizes that the early perceptual system, in order to solve various underdetermination problems, relies on certain principles, which may be taken to constitute a sort of a theory about the world that affect early vision, rendering it theory-laden. Both objections purport to show that early vision is CP and theory-laden. Against this thesis, I argue that the evidence on which the two objections are based does not show that early vision is CP and is fully compatible with the view that early vision is CI.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. Early vision includes a feed forward sweep (FFS) in which signals are transmitted bottom-up and which lasts, in visual areas, for about 100 ms, and a stage at which lateral and recurrent connections between neurons allow recurrent processing. This sort of recurrent processing, which starts at about 80 ms, is restricted within visual areas and does not involve signals from higher cognitive centers. Lamme (2003) calls it local recurrent processing (LRP). LRP culminates at about 120–130 ms. After that, signals from higher executive centers including mnemonic circuits intervene and modulate perceptual processing and this signals the onset of global recurrent processing (GRP). In what follows I refer to “early vision” and “perception” interchangeably unless I state otherwise.

  2. At a first glance the parallelism between epistemic and causal relations seems counterintuitive. After all, two contents can stand in an epistemic relation in the absence of any causal relationship between their respective contents. For example, A believes that p and B believes that p without A having ever met or spoken to B or without A coming to believe p from the same source as B. In this case, there is no causal relation between the two belief states of A and B and, yet, the contents of the two states are identical, and, thus, are epistemically related. Examples like these suggest that causal relations between states are orthogonal to the epistemic relations between their contents. However, I am not talking about the epistemic relations between contents in general but about the epistemic relations between the cognitive and perceptual contents of the same individual when she is viewing a visual scene. With this restriction, the parallelism between causal relations among states and epistemic relations among contents of the individual makes perfect sense.

  3. In this paper, I discuss the effects of visual memory and familiarity that affect the visual circuits in the sort-term, affecting the micro-circuitry of the visual areas. I have argued elsewhere (Raftopoulos 2009) that the perceptual learning that affects in the long-term the visual system and can (re)structure the macro-circuitry of the visual areas does not entail that perception is theory-laden.

  4. The P3 waveform of ERPs is elicited about 250–600 ms and is generated in many areas in the brain, including higher visual areas, and is associated with cognitive processing and the subjects’ reports. P3 may signify the consolidation of the representation of the object(s) in working memory.

  5. The terms “phenomenal seeing” and “doxastic seeing” are construed as in Dretske (1995).

  6. Even if one focuses on points that do not bias one or the other interpretation, the percept flips over between the two interpretations. (Long and Toppino 2004) That is, there is no neutral personal level representation of the whole figure.

References

  • Burge, T. (2010). Origins of objectivity. Oxford: Clarendon Press.

    Book  Google Scholar 

  • Chaumon, M., Drouet, V., & Tallon-Baudry, C. (2008). Unconscious associative memory affects visual processing before 100 ms. Journal of Vision, 8(3), 1–10.

    Article  Google Scholar 

  • Churchland, P. M. (1988). Perceptual plasticity and theoretical neutrality: A reply to Jerry Fodor. Philosophy of Science, 55, 167–187.

    Article  Google Scholar 

  • Crouzet, S. M., Kirchner, H., & Thorpe, S. J. (2010). Fast saccades toward faces: Face detection in just 100 ms. Journal of Vision, 10(4), 16., 1–17.

    Article  Google Scholar 

  • Delmore, A., Rousselet, G. A., Mace, M. J.-M., & Fabre-Thorpe, M. (2004). Interaction of top-down and bottom up processing in the fast visual analysis of natural scenes. Cognitive Brain Research, 19, 103–113.

    Article  Google Scholar 

  • Dilworth, J. (2005). The double content of perception. Synthese, 146, 225–243.

    Article  Google Scholar 

  • Dretske, F. (1995). Naturalizing the mind. Cambridge, MA: The MIT University Press.

    Google Scholar 

  • Duhem, P. (1914). The aim and structure of physical theory (2nd ed.) (P. P. Wiener, Trans.). New York: Atheneum.

  • Fabre-Thorpe, M., Delorme, A., Marlot, C., & Thorpe, S. (2001). A limit to the speed of processing in ultra-rapid visual categorization of novel natural scenes. Journal of Cognitive Neuroscience, 13, 171–180.

    Article  Google Scholar 

  • Ferster, D. (1981). A comparison of binocular depth mechanisms in areas 17 and 18 of the cat visual cortex. The Journal of Physiology, 311, 623–655.

    Article  Google Scholar 

  • Gregory, R. (1974). Concepts and mechanisms of perception. New York: Charles Scribners and Sons.

    Google Scholar 

  • Grill-Spector, K., Henson, R., & Martin, A. (2006). Repetition and the brain: Neural models of stimulus-specific effects. Trends in Cognitive Sciences, 10, 14–23.

    Article  Google Scholar 

  • Grill-Spector, K., Kushnir, T., Hendler, T., Edelman, S., Itzchak, Y., & Malach, R. (1998). A sequence of object-processing stages revealed by fMRI in the Human occipital lobe. Human Brain Mapping, 6, 316–328.

    Article  Google Scholar 

  • Hanson, N. R. (1958). Patterns of discovery. Cambridge: Cambridge University Press.

    Google Scholar 

  • Haugeland, J. (1998). Having thought. Cambridge: Harvard University Press.

    Google Scholar 

  • Johnson, J. S., & Olshausen, B. A. (2005). The earliest EEG signatures of object recognition in a cued-target task are postesensory. Journal of Vision, 5, 299–312.

    Google Scholar 

  • Kirchner, H., & Thorpe, S. J. (2006). Ultra-rapid object detection with saccadic movements: Visual processing speed revisited. Vision Research, 46, 1762–1776.

    Article  Google Scholar 

  • Kitcher, P. (2001). Real realism: The Galilean strategy. Philosophical Review, 110(2), 151–199.

    Article  Google Scholar 

  • Koch, C., & Poggio, T. (1987). Biophysics of computational systems: Neurons synapses, and membranes. In G. M. Edelman, W. E. Gall, & W. M. Cowan (Eds.), Synaptic function. New York: Wiley.

    Google Scholar 

  • Kuhn, T. S. (1962). The structure of scientific revolutions. Chicago: Chicago University Press.

    Google Scholar 

  • Lamme, V. A. F. (2003). Why visual attention and awareness are different. Trends in Cognitive Sciences, 7(1), 12–18.

    Article  Google Scholar 

  • Lamme, V. A. F., Super, H., Landman, R., Roelfsema, P. R., & Spekreijse, H. (2000). The role of primary visual cortex (V1) in visual awareness. Vision Research, 40, 1507–1521.

    Article  Google Scholar 

  • Liu, H., Agam, Y., Madsen, J. R., & Krelman, G. (2009). Timing, timing, timing: Fast decoding of object information from intracranial field potentials in human visual cortex. Neuron, 62, 281–290.

    Article  Google Scholar 

  • Long, G. M., & Toppino, Th C. (2004). Enduring interest in perceptual ambiguity: Alternating views of reversible figures. Psychological Bulletin, 130(5), 748–768.

    Article  Google Scholar 

  • Lyons, J. C. (2011). Circularity, reliability, and the cognitive penetrability of perception. Philosophical Issues, 21, 289–311.

    Article  Google Scholar 

  • Marr, D. (1982). Vision: A computational investigation into human representation and processing of visual information. San Francisco, CA: Freeman.

    Google Scholar 

  • Peterson, M. (2003). Overlapping partial configurations in object memory. In M. Peterson & G. Rhodes (Eds.), Perception of faces, objects, and scenes: Analytic and holistic processes. New York, NY: Oxford University Press.

    Google Scholar 

  • Peterson, M., & Enns, J. (2005). The edge complex: Implicit memory for figure assignment in shape perception. Perception and Psychophysics, 67(4), 727–740.

    Article  Google Scholar 

  • Peterson, M., & Skow Grant, E. (2003). Memory and learning in figure-ground perception. In B. Ross & D. Irwin (Eds.), Cognitive vision: Psychology of learning and motivation (Vol. 42, pp. 1–34). New York: Elsevier Science.

  • Poggio, G. F., & Talbot, W. H. (1981). Mechanisms of static and dynamic stereopsis in foveal cortex of the rhesus monkey. The Journal of Physiology, 315, 469–492.

    Article  Google Scholar 

  • Pylyshyn, Z. (1999). Is vision continuous with cognition? Behavioral and Brain Sciences, 22, 341–365.

    Google Scholar 

  • Quine, W. V. O. (1960). Word and object. Cambridge, MA: The MIT Press.

    Google Scholar 

  • Raftopoulos, A. (1999). Newton’s experimental proofs as eliminative reasoning. Erkenntnis, 50(1), 95–125.

    Article  Google Scholar 

  • Raftopoulos, A. (2001a). Is perception informationally encapsulated? The issue of the theory-ladenness of perception. Cognitive Science, 25, 423–451.

    Article  Google Scholar 

  • Raftopoulos, A. (2001b). Reentrant pathways and the theory-ladenness of observation. Philosophy of Science, 68, 187–200.

    Article  Google Scholar 

  • Raftopoulos, A. (2009). Cognition and perception. Cambridge, MA: The MIT Press.

    Google Scholar 

  • Raftopoulos, A. (2011). Ambiguous figures and representationalism. Synthese, 181(3), 489–514.

    Article  Google Scholar 

  • Raftopoulos, A., & Muller, V. (2006). Nonconceptual demonstrative reference. Philosophy and Phenomenological Research, 72(2), 251–285.

    Article  Google Scholar 

  • Schaffer, S. (1989). Glass works: Newton’s prisms and the uses of experiment. In D. Gooding, T. Pinch, & S. Schaffer (Eds.), The uses of experiment: Studies in the natural sciences. Cambridge: Cambridge University Press.

    Google Scholar 

  • Spelke, E. S. (1990). Principles of object perception. Cognitive Science, 14, 29–56.

    Article  Google Scholar 

  • Thorpe, S., Fize, D., & Marlot, C. (1996). Speed of processing in the human visual system. Nature, 381, 520–522.

    Article  Google Scholar 

  • Torralba, A., & Oliva, A. (2003). Statistics of natural image categories. Network, 14, 391–412.

    Article  Google Scholar 

  • Treisman, A., & Kanwisher, N. G. (1998). Perceiving visually presented objects: Recognition, awareness, and modularity. Current Opinions in Neurobiology, 8, 218–226.

    Article  Google Scholar 

  • Turnbull, H. W. (Ed.). (1959). The correspondence of Isaak Newton (Vol. 3). Cambridge: Cambridge University Press.

    Google Scholar 

  • Ulmann, A., & Richards, W. (Eds.). (1990). Image understanding. Norwood, NJ: Ablex.

    Google Scholar 

  • Ullman, S., Vidal-Naquet, M., & Sali, E. (2002). Visual features of intermediate complexity and their use in classification. Nature Neuroscience, 5(7), 682–687.

    Google Scholar 

  • VanRullen, R., & Thorpe, S. J. (2001). The time course of visual processing: From early perception to decision making. Journal of Cognitive Neuroscience, 13, 454–461.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Athanassios Raftopoulos.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Raftopoulos, A. The Cognitive Impenetrability of Perception and Theory-Ladenness. J Gen Philos Sci 46, 87–103 (2015). https://doi.org/10.1007/s10838-015-9288-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10838-015-9288-6

Keywords

Navigation