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Self-organization and segmentation in a laterally connected orientation map of spiking neurons

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Publication:1273969
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DOI10.1016/S0925-2312(98)00040-XzbMath0917.68180OpenAlexW2113728482MaRDI QIDQ1273969

Yoonsuck Choe, Risto Miikkulainen

Publication date: 6 January 1999

Published in: Neurocomputing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0925-2312(98)00040-x


zbMATH Keywords

self-organizationsegmentationspiking neuronsRF-SLISSOM model


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)


Related Items (3)

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence ⋮ Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II: Input selectivity-symmetry breaking ⋮ An unsupervised neuromorphic clustering algorithm




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