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000864205 037__ $$aFZJ-2019-04043
000864205 041__ $$aEnglish
000864205 1001_ $$0P:(DE-Juel1)176778$$aBouhadjar, Younes$$b0$$eCorresponding author$$ufzj
000864205 1112_ $$aInternational Conference on Neuromorphic Systems$$cKnoxville$$d2019-07-23 - 2019-07-25$$gICONS$$wUnited States
000864205 245__ $$aConstraints on sequence processing speed in biological neuronal networks
000864205 260__ $$c2019
000864205 3367_ $$033$$2EndNote$$aConference Paper
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000864205 520__ $$aSequence processing has been proposed to be the universal computation performed by the neocortex. The Hierarchical Temporal Memory (HTM) model provides a mechanistic implementation of this form of processing. While the model accounts for a number of neocortical features, it is based on networks of highly abstract neuron and synapse models updated in discrete time. Here, we reformulate the model in terms of a network of spiking neurons with continuous-time dynamics to investigate how neuronal parameters such as cell-intrinsic time constants and synaptic weights constrain the sequence-processing speed
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000864205 536__ $$0G:(DE-Juel1)aca_20190115$$aAdvanced Computing Architectures (aca_20190115)$$caca_20190115$$fAdvanced Computing Architectures$$x1
000864205 536__ $$0G:(EU-Grant)785907$$aHBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)$$c785907$$fH2020-SGA-FETFLAG-HBP-2017$$x2
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000864205 7001_ $$0P:(DE-Juel1)144174$$aDiesmann, Markus$$b1$$ufzj
000864205 7001_ $$0P:(DE-Juel1)131022$$aWaser, R.$$b2
000864205 7001_ $$0P:(DE-HGF)0$$aWouters, Dirk J.$$b3
000864205 7001_ $$0P:(DE-Juel1)145211$$aTetzlaff, Tom$$b4$$ufzj
000864205 8564_ $$uhttps://juser.fz-juelich.de/record/864205/files/sequence_processing.pdf$$yOpenAccess
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000864205 9141_ $$y2019
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000864205 9201_ $$0I:(DE-Juel1)PGI-7-20110106$$kPGI-7$$lElektronische Materialien$$x1
000864205 9201_ $$0I:(DE-Juel1)INM-6-20090406$$kINM-6$$lComputational and Systems Neuroscience$$x2
000864205 9201_ $$0I:(DE-Juel1)INM-10-20170113$$kINM-10$$lJara-Institut Brain structure-function relationships$$x3
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