The oscillatory dynamic link matcher for spiking-neuron-based pattern recognition
نویسندگان
چکیده
منابع مشابه
The oscillatory dynamic link matcher for spiking-neuron-based pattern recognition
In this paper we show that an unsupervised two-layered oscillatory neural network with interand intra-layer connections, and a learning rule based on stimulus difference can behave as a Dynamic Link Matching Machine for invariant pattern recognition. We show that this architecture is robust to affine transformations. We call this architecture Oscillatory Dynamic Link Matching (ODLM). We use DEV...
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The ”dynamic link matching” (DLM) has been first proposed by Konen et al. [1] to solve the visual correspondence problem. The approach consists of two layers of neurons connected to each other through synaptic connections constrained to some normalization. The reference pattern is applied to one of the layers and the pattern to be recognized to the other. The dynamics of the neurons are chosen ...
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In this paper we show that an unsupervised two-layered oscillatory neural network with intralayer connections, and a learning rule based on stimulus difference can behave as a Dynamic Link Matching Machine for invariant pattern recognition. We show that this architecture is robust to affine transformations. We call this architecture Oscillatory Dynamic Link Matching (ODLM).
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When recognizing patterns or objects, our visual system can easily separate what kind of pattern is seen and where (location and orientation) it is seen. Neural networks as pattern recognizers can deal well with noisy input patterns, but have difficulties when confronted with the large variety o.f possible geometric transformations of an object. We propose a flexible neural mechanism for invari...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2006
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2005.11.011