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» Image clustering with spiking neuron network
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SP
2008
IEEE
159views Security Privacy» more  SP 2008»
13 years 5 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
IJON
1998
95views more  IJON 1998»
13 years 5 months ago
Self-organization and segmentation in a laterally connected orientation map of spiking neurons
The RF-SLISSOM model integrates two separate lines of research on computational modeling of the visual cortex. Laterally connected self-organizing maps have been used to model how...
Yoonsuck Choe, Risto Miikkulainen
ESANN
2006
13 years 7 months ago
FPGA implementation of an integrate-and-fire LEGION model for image segmentation
Abstract. Despite several previous studies, little progress has been made in building successful neural systems for image segmentation in digital hardware. Spiking neural networks ...
Bernard Girau, Cesar Torres-Huitzil
ICANN
2007
Springer
13 years 12 months ago
Neuronal Multistability Induced by Delay
Abstract. Feedback circuits are important for understanding the emergence of patterns of neural activity. In this contribution we study how a delayed circuit representing a recurre...
Cristina Masoller, M. C. Torrent, Jordi Garc&iacut...
ICIC
2007
Springer
13 years 12 months ago
Edge Detection Based on Spiking Neural Network Model
Inspired by the behaviour of biological receptive fields and the human visual system, a network model based on spiking neurons is proposed to detect edges in a visual image. The st...
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire...