Edinburgh Research Explorer Spike-Based Bayesian-Hebbian Learning of Temporal Sequences Citation for published version: Tully, PJ, Lindén, H, Hennig, MH & Lansner, A 2016, 'Spike-Based Bayesian-Hebbian Learning of Temporal Sequences' PLoS Computational Biology, vol. 12, no. 5, e1004954. DOI: 10.1371/journal.pcbi.1004954 Digital Object Identifier (DOI): 10.1371/journal.pcbi.1004954 Link: Link to publication record in Edinburgh Research Explorer Document Version: Publisher's PDF, also known as Version of record Published In: PLoS Computational Biology General rights Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact
[email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 05. Apr. 2019 RESEARCH ARTICLE Spike-Based Bayesian-Hebbian Learning of Temporal Sequences Philip J. Tully1,2,3*, Henrik Lindén1,2,4, Matthias H. Hennig3, Anders Lansner1,2,5 1 Department of Computational Science and Technology, Royal Institute of Technology (KTH), Stockholm, Sweden, 2 Stockholm Brain Institute, Karolinska Institute,