- Poster presentation
- Open Access
Multiplexed coding through synchronous and asynchronous spiking
© Lankarany and Prescott 2015
- Published: 18 December 2015
- Spike Train
- Spike Rate
- Coincidence Detector
- Temporal Code
- Fast Signal
The prodigious capacity of our brain to process information relies on efficient neural coding strategies. In engineered systems, bandwidth is often increased through multiplexing - multiple signals are simultaneously, yet independently, transmitted through a single communication channel. We have proposed previously that neural systems might implement the same sort of solution . Here, we tested if/how multiplexed coding could be achieved through combined rate and temporal coding. We hypothesized that a set of neurons could independently encode two signals by using asynchronous spike rate to encode one signal and synchronous spike timing to encode the other.
Our results demonstrate the feasibility of multiplexed coding using synchronous and asynchronous spiking. Decoding the two signals requires that spikes are distinguished by their cross-correlation; this is difficult to do with experimental data in which only a subset of neurons are recorded, but it is straightforward for the brain using downstream neurons that operate as coincidence detectors or integrators that respond preferentially depending on input correlation.
This work was supported by the National Sciences and Engineering Research Council of Canada.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.