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Network of physiological neurons with differentiated excitatory and inhibitory units possessing pattern recognition capacity

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dc.contributor.author Ventouras, E en
dc.contributor.author Kitsonas, M en
dc.contributor.author Hadjiagapis, S en
dc.contributor.author Uzunoglu, N en
dc.contributor.author Papageorgiou, C en
dc.contributor.author Rabavilas, A en
dc.contributor.author Stefanis, C en
dc.date.accessioned 2014-03-01T02:40:59Z
dc.date.available 2014-03-01T02:40:59Z
dc.date.issued 1994 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30313
dc.subject Associative Memory en
dc.subject Dynamic Behavior en
dc.subject Pattern Recognition en
dc.subject Neural Network en
dc.subject.other Algorithms en
dc.subject.other Brain models en
dc.subject.other Computer architecture en
dc.subject.other Convergence of numerical methods en
dc.subject.other Learning systems en
dc.subject.other Mathematical models en
dc.subject.other Neurophysiology en
dc.subject.other Optical correlation en
dc.subject.other Parallel processing systems en
dc.subject.other Parameter estimation en
dc.subject.other Pattern recognition en
dc.subject.other Neural populations en
dc.subject.other Noise corrupted inputs en
dc.subject.other Physiological neurons en
dc.subject.other Neural networks en
dc.title Network of physiological neurons with differentiated excitatory and inhibitory units possessing pattern recognition capacity en
heal.type conferenceItem en
heal.identifier.primary 10.1109/NNSP.1994.366047 en
heal.identifier.secondary http://dx.doi.org/10.1109/NNSP.1994.366047 en
heal.publicationDate 1994 en
heal.abstract A novel neural network is proposed with different excitatory and inhibitory neural populations. This property conforms with the so-called Dale's hypothesis that applies to neurons of the mammalian brain. The network possesses the ability to store correlated-overlapping patterns and to categorize properly incomplete and noise corrupted inputs. It has the ability to function at realistically low firing rates, such as those found in cortex (15-40 Hz), and to store sparse patterns. Current investigations concern the assessment of the storage capacity of the network and its application in Massively Parallel Computers of the Multiple Instructions-Multiple Data (MIMD) type. en
heal.publisher IEEE, Piscataway, NJ, United States en
heal.journalName Neural Networks for Signal Processing - Proceedings of the IEEE Workshop en
dc.identifier.doi 10.1109/NNSP.1994.366047 en
dc.identifier.spage 204 en
dc.identifier.epage 208 en


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