Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-28T15:12:25.673Z Has data issue: false hasContentIssue false

Modest and immodest neural codes: Can there be modest codes?

Published online by Cambridge University Press:  28 November 2019

Rosa Cao
Affiliation:
Department of Philosophy, Stanford University, Stanford, [email protected]://philosophy.stanford.edu/people/rosa-cao
Charles Rathkopf
Affiliation:
Institute for Neuroscience and Medicine, Forschungszentrum Jülich GmbH, 52425Jülich, Germany. [email protected]://charlesrathkopf.net/

Abstract

We argue that Brette's arguments, or some variation on them, work only against the immodest codes imputed by neuroscientists to the signals they study; they do not tell against “modest” codes, which may be learned by neurons themselves. Still, caution is warranted: modest neural codes likely lead to only modest explanatory gains.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2019

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Cao, R. (2012) A teleosemantic approach to information in the brain. Biology & Philosophy 27(1):4971.CrossRefGoogle Scholar
Dretske, F. (1994) If you can't make one, you don't know how it works. Midwest Studies in Philosophy 19:468–82.CrossRefGoogle Scholar
Fodor, J. A. (1990) A theory of content and other essays. MIT Press.Google Scholar
Millikan, R. G. (1984) Language, thought, and other biological categories: New foundations for realism. MIT Press.Google Scholar
Neander, K. (1995) Misrepresenting & malfunctioning. Philosophical Studies 79(2):109–41.CrossRefGoogle Scholar
Papineau, D. (2003) Is representation rife? Ratio 16(2):107–23.CrossRefGoogle Scholar
Rathkopf, C. (2017) Neural information and the problem of objectivity. Biology & Philosophy 32(3):321–36.CrossRefGoogle Scholar
Shea, N. (2018) Representation in cognitive science. Oxford University Press.CrossRefGoogle Scholar
Skyrms, B. (2010). Signals: Evolution, learning, and information. Oxford University Press.CrossRefGoogle Scholar