TY - GEN
T1 - An orientation selective neural network for pattern identification in particle detectors
AU - Abramowicz, Halina
AU - Horn, David
AU - Naftaly, Ury
AU - Pikielny, Carmit Sahar
PY - 1997
Y1 - 1997
N2 - We present an algorithm for identifying linear patterns on a two-dimensional lattice based on the concept of an orientation selective cell, a concept borrowed from neurobiology of vision. Constructing a multi-layered neural network with fixed architecture which implements orientation selectivity, we define output elements corresponding to different orientations, which allow us to make a selection decision. The algorithm takes into account the granularity of the lattice as well as the presence of noise and inefficiencies. The method is applied to a sample of data collected with the ZEUS detector at HERA in order to identify cosmic muons that leave a linear pattern of signals in the segmented calorimeter. A two dimensional representation of the relevant part of the detector is used. The algorithm performs very well. Given its architecture, this system becomes a good candidate for fast pattern recognition in parallel processing devices.
AB - We present an algorithm for identifying linear patterns on a two-dimensional lattice based on the concept of an orientation selective cell, a concept borrowed from neurobiology of vision. Constructing a multi-layered neural network with fixed architecture which implements orientation selectivity, we define output elements corresponding to different orientations, which allow us to make a selection decision. The algorithm takes into account the granularity of the lattice as well as the presence of noise and inefficiencies. The method is applied to a sample of data collected with the ZEUS detector at HERA in order to identify cosmic muons that leave a linear pattern of signals in the segmented calorimeter. A two dimensional representation of the relevant part of the detector is used. The algorithm performs very well. Given its architecture, this system becomes a good candidate for fast pattern recognition in parallel processing devices.
UR - http://www.scopus.com/inward/record.url?scp=33645196958&partnerID=8YFLogxK
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AN - SCOPUS:33645196958
SN - 0262100657
SN - 9780262100656
T3 - Advances in Neural Information Processing Systems
SP - 925
EP - 931
BT - Advances in Neural Information Processing Systems 9 - Proceedings of the 1996 Conference, NIPS 1996
PB - Neural information processing systems foundation
T2 - 10th Annual Conference on Neural Information Processing Systems, NIPS 1996
Y2 - 2 December 1996 through 5 December 1996
ER -