%0 Conference Paper
%A Bouhadjar, Younes
%A Diesmann, Markus
%A Waser, R.
%A Wouters, Dirk J.
%A Tetzlaff, Tom
%T Constraints on sequence processing speed in biological neuronal networks
%I ACM Press             New York, New York, USA
%M FZJ-2019-04247
%P 1-9
%D 2019
%< Proceedings of the International Conference on Neuromorphic Systems  - ICONS '19 - ACM Press             New York, New York, USA, 2019. - ISBN 9781450376808 - doi:10.1145/3354265.3354281
%X Sequence 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.
%B International Conference on Neuromorphic Systems
%C 23 Jul 2019 - 25 Jul 2019, Knoxville (TN)
Y2 23 Jul 2019 - 25 Jul 2019
M2 Knoxville, TN
%F PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
%9 Contribution to a conference proceedingsContribution to a book
%R 10.1145/3354265.3354281
%U https://juser.fz-juelich.de/record/864466