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We apply these extensions to a two-compartment LIF neuron that can be seen as a simple model of passive dendritic computation. We show that it is possible to incorporate neuron models with input-dependent nonlinearities into the Neural Engineering Framework without compromising high-level function and that nonlinear postsynaptic currents can be systematically exploited to compute a wide variety of multivariate, band-limited functions, including the Euclidean norm, controlled shunting, and nonnegative multiplication. By avoiding an additional source of spike noise, the function approximation accuracy of a single layer of two-compartment LIF neurons is on a par with or even surpasses that of two-layer spiking neural networks up to a certain target function bandwidth. <\/jats:p>","DOI":"10.1162\/neco_a_01338","type":"journal-article","created":{"date-parts":[[2020,10,20]],"date-time":"2020-10-20T21:25:44Z","timestamp":1603229144000},"page":"96-128","source":"Crossref","is-referenced-by-count":17,"title":["Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks"],"prefix":"10.1162","volume":"33","author":[{"given":"Andreas","family":"St\u00f6ckel","sequence":"first","affiliation":[{"name":"Centre for Theoretical Neuroscience, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chris","family":"Eliasmith","sequence":"additional","affiliation":[{"name":"Centre for Theoretical Neuroscience, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"281","reference":[{"key":"B1","volume-title":"Proceedings of the 32nd AAAI Conference on Artificial Intelligence","author":"Alemi A.","year":"2018"},{"issue":"48","key":"B2","volume":"7","author":"Bekolay T.","year":"2014","journal-title":"Frontiers in Neuroinformatics"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-44778-0_41"},{"key":"B4","author":"Blouw P.","year":"2018","journal-title":"Benchmarking keyword spotting efficiency on neuromorphic hardware"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1109\/MCSE.2017.33"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1003577"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1001080"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1003258"},{"key":"B9","volume-title":"Radial basis functions, multi-variable functional interpolation and adaptive networks","author":"Broomhead D. 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