FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2107431352> ?p ?o ?g. }

• W2107431352 endingPage "22" @default.
• W2107431352 startingPage "1" @default.
• W2107431352 abstract "We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a new model of an integrate-and-fire neuron with active dendrites and dynamic synapses (ADDS) and its synaptic plasticity rule. The neuron employs the dynamics of the synapses and the active properties of the dendrites as an adaptive mechanism for maximizing its response to a specific spatio-temporal distribution of incoming action potentials. The learning algorithm follows recent biological evidence on synaptic plasticity. It goes beyond the current computational approaches which are based only on the relative timing between single pre- and post-synaptic spikes and implements a functional dependence based on the state of the dendritic and somatic membrane potentials around the pre- and post-synaptic action potentials. The learning algorithm is demonstrated to effectively train the neuron towards a selective response determined by the spatio-temporal pattern of the onsets of input spike trains. The model is used in the implementation of a part of a robotic system for natural language instructions. We test the model with a robot whose goal is to recognize and execute language instructions. The research in this article demonstrates the potential of spiking neurons for processing spatio-temporal patterns and the experiments present spiking neural networks as a paradigm which can be applied for modelling sequence detectors at word level for robot instructions." @default.
• W2107431352 created "2016-06-24" @default.
• W2107431352 creator A5026282516 @default.
• W2107431352 creator A5033486668 @default.
• W2107431352 date "2006-03-01" @default.
• W2107431352 modified "2023-10-14" @default.
• W2107431352 title "Temporal sequence detection with spiking neurons: towards recognizing robot language instructions" @default.
• W2107431352 cites W1486852018 @default.
• W2107431352 cites W1589692855 @default.
• W2107431352 cites W1973674690 @default.
• W2107431352 cites W1978258490 @default.
• W2107431352 cites W1982785464 @default.
• W2107431352 cites W1985940938 @default.
• W2107431352 cites W1997824093 @default.
• W2107431352 cites W2005278380 @default.
• W2107431352 cites W2014322580 @default.
• W2107431352 cites W2017332300 @default.
• W2107431352 cites W2021789384 @default.
• W2107431352 cites W2022995207 @default.
• W2107431352 cites W2023699349 @default.
• W2107431352 cites W2024819501 @default.
• W2107431352 cites W2032641870 @default.
• W2107431352 cites W2032774941 @default.
• W2107431352 cites W2055323230 @default.
• W2107431352 cites W2055568369 @default.
• W2107431352 cites W2057426891 @default.
• W2107431352 cites W2057613746 @default.
• W2107431352 cites W2072233684 @default.
• W2107431352 cites W2073723207 @default.
• W2107431352 cites W2081411433 @default.
• W2107431352 cites W2084518163 @default.
• W2107431352 cites W2096473662 @default.
• W2107431352 cites W2099535060 @default.
• W2107431352 cites W2110016065 @default.
• W2107431352 cites W2115168491 @default.
• W2107431352 cites W2119644986 @default.
• W2107431352 cites W2126821092 @default.
• W2107431352 cites W2135094859 @default.
• W2107431352 cites W2148654448 @default.
• W2107431352 cites W2156259017 @default.
• W2107431352 cites W2158513777 @default.
• W2107431352 cites W2158791054 @default.
• W2107431352 cites W2162222153 @default.
• W2107431352 cites W25632799 @default.
• W2107431352 cites W3021526609 @default.
• W2107431352 cites W4243252040 @default.
• W2107431352 cites W2185212694 @default.
• W2107431352 doi "https://doi.org/10.1080/09540090500132385" @default.
• W2107431352 hasPublicationYear "2006" @default.
• W2107431352 type Work @default.
• W2107431352 sameAs 2107431352 @default.
• W2107431352 citedByCount "21" @default.
• W2107431352 countsByYear W21074313522012 @default.
• W2107431352 countsByYear W21074313522014 @default.
• W2107431352 countsByYear W21074313522015 @default.
• W2107431352 countsByYear W21074313522016 @default.
• W2107431352 countsByYear W21074313522018 @default.
• W2107431352 crossrefType "journal-article" @default.
• W2107431352 hasAuthorship W2107431352A5026282516 @default.
• W2107431352 hasAuthorship W2107431352A5033486668 @default.
• W2107431352 hasConcept C11731999 @default.
• W2107431352 hasConcept C154945302 @default.
• W2107431352 hasConcept C159919123 @default.
• W2107431352 hasConcept C169760540 @default.
• W2107431352 hasConcept C170493617 @default.
• W2107431352 hasConcept C185592680 @default.
• W2107431352 hasConcept C2779127903 @default.
• W2107431352 hasConcept C41008148 @default.
• W2107431352 hasConcept C50644808 @default.
• W2107431352 hasConcept C55493867 @default.
• W2107431352 hasConcept C86803240 @default.
• W2107431352 hasConcept C98229152 @default.
• W2107431352 hasConceptScore W2107431352C11731999 @default.
• W2107431352 hasConceptScore W2107431352C154945302 @default.
• W2107431352 hasConceptScore W2107431352C159919123 @default.
• W2107431352 hasConceptScore W2107431352C169760540 @default.
• W2107431352 hasConceptScore W2107431352C170493617 @default.
• W2107431352 hasConceptScore W2107431352C185592680 @default.
• W2107431352 hasConceptScore W2107431352C2779127903 @default.
• W2107431352 hasConceptScore W2107431352C41008148 @default.
• W2107431352 hasConceptScore W2107431352C50644808 @default.
• W2107431352 hasConceptScore W2107431352C55493867 @default.
• W2107431352 hasConceptScore W2107431352C86803240 @default.
• W2107431352 hasConceptScore W2107431352C98229152 @default.
• W2107431352 hasIssue "1" @default.
• W2107431352 hasLocation W21074313521 @default.
• W2107431352 hasOpenAccess W2107431352 @default.
• W2107431352 hasPrimaryLocation W21074313521 @default.
• W2107431352 hasRelatedWork W2019600521 @default.
• W2107431352 hasRelatedWork W2056606091 @default.
• W2107431352 hasRelatedWork W2137383364 @default.
• W2107431352 hasRelatedWork W2286961895 @default.
• W2107431352 hasRelatedWork W2742796214 @default.
• W2107431352 hasRelatedWork W2996497076 @default.
• W2107431352 hasRelatedWork W3014999129 @default.
• W2107431352 hasRelatedWork W3015854248 @default.
• W2107431352 hasRelatedWork W3160389354 @default.
• W2107431352 hasRelatedWork W4221167508 @default.

• next