Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2010 Mar;4(1):25-35.
doi: 10.1007/s11571-009-9090-4. Epub 2009 Sep 4.

Ecological expected utility and the mythical neural code

Affiliations

Ecological expected utility and the mythical neural code

Jerome Feldman. Cogn Neurodyn. 2010 Mar.

Abstract

Neural spikes are an evolutionarily ancient innovation that remains nature's unique mechanism for rapid, long distance information transfer. It is now known that neural spikes sub serve a wide variety of functions and essentially all of the basic questions about the communication role of spikes have been answered. Current efforts focus on the neural communication of probabilities and utility values involved in decision making. Significant progress is being made, but many framing issues remain. One basic problem is that the metaphor of a neural code suggests a communication network rather than a recurrent computational system like the real brain. We propose studying the various manifestations of neural spike signaling as adaptations that optimize a utility function called ecological expected utility.

Keywords: Binding problem; Ecological utility; Grandmother cell; Neural coding; Neuroeconomics; Population code; Spikes.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
Model circuit for cross-modal priming (from Feldman , p. 90)

References

    1. Allman JM (1999) Evolving brains. Scientific American Press, New York, p 16
    1. Atwell D, Laughlin SB. An energy budget for signaling in the grey matter of the brain. J Cereb Blood Flow Metab. 2001;21:1133–1145. doi: 10.1097/00004647-200110000-00001. - DOI - PubMed
    1. Barlow H. Redundancy reduction revisited. Netw Comput Neural Syst. 2001;12:241–253. - PubMed
    1. Barrett L, Feldman JA, MacDermed L. A somewhat new solution to the variable binding problem. Neural Comput. 2008;20(9):2361–2378. doi: 10.1162/neco.2008.07-06-290. - DOI - PubMed
    1. Behrens TE, Woolrich MW, Walton ME, et al. Learning the value of information in an uncertain world. Nat Neurosci. 2007;10(9):1214–1221. doi: 10.1038/nn1954. - DOI - PubMed
Related works
    1. Abbott LF. Decoding neuronal firing and modeling neural networks. Q Rev Biophys. 1994;27:291–331. doi: 10.1017/S0033583500003024. - DOI - PubMed
    1. Aur D, Jog MS (2007) Reading the neural code: what do spikes mean for behavior? Nat Precedings. doi:10.1038/npre.2007.61.1
    1. Barber MJ, Clark JW, Anderson CH. Neural representation of probabilistic information. Neural Comput. 2003;15:1843–1864. doi: 10.1162/08997660360675062. - DOI - PubMed
    1. Beck JM, Ma W-J, Kiani R, et al. Probabilistic population codes for Bayesian decision making. Neuron. 2008;60(6):1142–1152. doi: 10.1016/j.neuron.2008.09.021. - DOI - PMC - PubMed
    1. Bisley JW, Goldberg ME. Neural correlates of attention and distractibility in the lateral intraparietal area. J Neurophysiol. 2006;95:1696–1717. doi: 10.1152/jn.00848.2005. - DOI - PMC - PubMed

LinkOut - more resources