Skip to main content
Log in

Converting neural signals from place codes to rate codes

  • Published:
Biological Cybernetics Aims and scope Submit manuscript

Abstract.

 The nervous system uses two basic types of formats for encoding information. The parameters of many sensory (and some premotor) signals are represented by the pattern of activity among an array of neurons each of which is optimally responsive to a different parameter value. This type of code is commonly referred to as a place code. Motor commands, in contrast, use rate coding: the desired force of a muscle is specified as a monotonic function of the aggregate rate of discharge across all of its motor neurons. Generating movements based on sensory information often requires converting signals from a place code to a rate code. In this paper I discuss three possible models for how the brain does this.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Author information

Authors and Affiliations

Authors

Additional information

Received: 24 July 2000 / Accepted in revised form: 2 February 2001

Rights and permissions

Reprints and permissions

About this article

Cite this article

Groh, J. Converting neural signals from place codes to rate codes. Biol Cybern 85, 159–165 (2001). https://doi.org/10.1007/s004220100249

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s004220100249

Keywords

Navigation