Skip to main content
Log in

Parallel processing by a homogeneous group of coupled model neurons can enhance, reduce and generate signal correlations

  • Published:
Biological Cybernetics Aims and scope Submit manuscript

Abstract.

 Correlated activities have been proposed as correlates of flexible association and assembly coding. We addressed the basic question of how signal correlations on parallel pathways are enhanced, reduced and generated by homogeneous groups of coupled neurons, and how this depends on the input activities and their interactions with internal coupling processes. For this we simulated a fully connected group of identical impulse-coded neurons with dynamic input and threshold processes and additive or multiplicative lateral coupling. Input signals were Gaussian white noise (GWN), completely independent or partially correlated on a subgroup of the parallel inputs. We show that in states of high average spike rates input-output correlations were weak while the network could generate correlated activities of stochastic, oscillatory and rhythmic bursting types depending exclusively on lateral coupling strength. In states of low average spike rates input-output correlations were high and the network could effectively enhance or reduce differences in spatial correlation applied to its parallel inputs. The correlation differences were more pronounced with multiplicative lateral coupling than with the additive interactions commonly used. As the different modes of correlation processing emerged already by global changes in the average spike rate and lateral coupling strength, we assume that in real cortical circuits changes in correlational processing may also be induced by unspecific modulations of activation and lateral coupling.

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.

Institutional subscriptions

Similar content being viewed by others

Author information

Authors and Affiliations

Authors

Additional information

Received: 11 December 1995 / Accepted in revised form: 29 November 1996

Rights and permissions

Reprints and permissions

About this article

Cite this article

Juergens, E., Eckhorn, R. Parallel processing by a homogeneous group of coupled model neurons can enhance, reduce and generate signal correlations. Biol Cybern 76, 217–227 (1997). https://doi.org/10.1007/s004220050334

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s004220050334

Keywords

Navigation