---
title: "Beyond PDP: The Frequency Modulation Neural Network Architecture"
authors:
  - "Hideto Tomabechi"
  - "Hiroaki Kitano"
doi: ""
url: "https://ijcai.org/proceedings/1989/30"
pdf: "https://ijcai.org/proceedings/1989/0030.pdf"
venue: "Proceedings of the Eleventh International Joint Conference on Artificial Intelligence"
year: 1989
pages: "186-191"
track: "Parallel and Distributed Processing"
keywords:
---

# Beyond PDP: The Frequency Modulation Neural Network Architecture

Hideto Tomabechi, Hiroaki Kitano

*Proceedings of the Eleventh International Joint Conference on Artificial Intelligence*, pages 186-191.

## Abstract

This paper proposes the Frequency Modulation Neural Network as an alternative to current neuralnet models. This proposal is for an architecture of a heterogeneous neural-network in which information is propagated using frequency modulation of pulses oscillated by groups of neurons. The FMNN model enables operations including variable-binding, sequential recognitions and predictions. The use of FM signals for communication among neural clusters also enables the model to avoid communication bottlenecks arising in most massively parallel computer architectures.