# A Winner-Takes-All Mechanism for Event Generation

arXiv: https://arxiv.org/abs/2504.11374 · HTML: https://mlsanity.com/paper/2504.11374/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 3 of its 28 references that are in the map.
- First posted on arXiv 15 Apr 2025.

## Builds on (most cited first, 3 of 3)

- [Neuromorphic Control](https://mlsanity.com/paper/2011.04441/) (2020)
- [Online Optimization of Central Pattern Generators for Quadruped Locomotion](https://mlsanity.com/paper/2410.16417/) (2024)
- [Towards hardware Implementation of WTA for CPG-based control of a Spiking Robotic Arm](https://mlsanity.com/paper/2202.07064/) (2022)

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

- [A Neuromorphic Architecture for Scalable Event-Based Control](https://mlsanity.com/paper/2511.11924/) (2025)

## Abstract (arXiv)

We present a novel framework for central pattern generator design that leverages the intrinsic rebound excitability of neurons in combination with winner-takes-all computation. Our approach unifies decision-making and rhythmic pattern generation within a simple yet powerful network architecture that employs all-to-all inhibitory connections enhanced by designable excitatory interactions. This design offers significant advantages regarding ease of implementation, adaptability, and robustness. We demonstrate its efficacy through a ring oscillator model, which exhibits adaptive phase and frequency modulation, making the framework particularly promising for applications in neuromorphic systems and robotics.