paper-with-me

홈 › Papers

Are Artificial Dendrites useful in NeuroEvolution?

2020-10-02 · Larry Bull

The significant role of dendritic processing within neuronal networks has become increasingly clear. This letter explores the effects of including a simple dendrite-inspired mechanism into neuroevolution. The phenomenon of separate dendrite activation thresholds on connections is allowed to emerge under an evolutionary process. It is shown how such processing can be positively selected for, particularly for connections between the hidden and output layer, and increases performance.

📄 PDF Abstract BibTeX arXiv:2010.00918

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Artificial Dendritic Computation: The case for dendrites in neuromorphic circuits

2023-04-03 · Daniel John Mannion, Anthony Joseph Kenyon

Bio-inspired computing has focused on neuron and synapses with great success. However, the connections between these, the dendrites, also play an important role. In this paper, we investigate the motivation for replicati…

A Study of Fitness Landscapes for Neuroevolution

2020-01-30 · Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi

Fitness landscapes are a useful concept to study the dynamics of meta-heuristics. In the last two decades, they have been applied with success to estimate the optimization power of several types of evolutionary algorithm…

Evolutionary Algorithms

A versatile circuit for emulating active biological dendrites applied to sound localisation and neuron imitation

2023-10-25 · Daniel John Mannion

Sophisticated machine learning struggles to transition onto battery-operated devices due to the high-power consumption of neural networks. Researchers have turned to neuromorphic engineering, inspired by biological neura…

NSPDI-SNN: An efficient lightweight SNN based on nonlinear synaptic pruning and dendritic integration

2025-08-29 · Wuque Cai, Hongze Sun, Jiayi He, Qianqian Liao 외 arxiv

Spiking neural networks (SNNs) are artificial neural networks based on simulated biological neurons and have attracted much attention in recent artificial intelligence technology studies. The dendrites in biological neur…

Reinforcement LearningSpeech Recognition

Neuroevolution in Games: State of the Art and Open Challenges

2014-10-27 · Sebastian Risi, Julian Togelius

This paper surveys research on applying neuroevolution (NE) to games. In neuroevolution, artificial neural networks are trained through evolutionary algorithms, taking inspiration from the way biological brains evolved. …

Evolutionary Algorithms