在尖峰神经元网络中实现特征连接的位置不变检测

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290) Pub Date : 2002-08-07 DOI:10.1109/IJCNN.2002.1007647

S. Bohté, J. Kok, H. la Poutré

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引用次数: 1

摘要

神经网络的设计如何有效地检测特征的连接是一个重要的开放性挑战。我们开发了一个前馈脉冲神经网络，它需要恒定数量的神经元来检测连接，而不管视网膜输入场的大小，并且最多可以同时呈现四个特征连接。

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Implementing position-invariant detection of feature-conjunctions in a network of spiking neurons

The design of neural networks that are able to efficiently detect conjunctions of features is an important open challenge. We develop a feedforward spiking neural network that requires a constant number of neurons for detecting a conjunction irrespective of the size of the retinal input field, and for up to four simultaneously present feature-conjunctions.

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Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)

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