# Saliency Based Control in Random Feature Networks

arXiv: https://arxiv.org/abs/1403.5462 · HTML: https://mlsanity.com/paper/1403.5462/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Mar 2014.

## Built on by (most cited first, 1 of 1)

- [Emulation Learning for Neuromimetic Systems](https://mlsanity.com/paper/2305.03196/) (2023)

## Abstract (arXiv)

The ability to rapidly focus attention and react to salient environmental features enables animals to move agiley through their habitats. To replicate this kind of high-performance control of movement in synthetic systems, we propose a new approach to feedback control that bases control actions on randomly perceived features. Connections will be made with recent work incorporating communication protocols into networked control systems. The concepts of em random channel controllability and em random channel observability for LTI control systems are introduced and studied.