Abigail Morrison

Jenia Jitsev, Nobi Abraham, Abigail Morrison, Marc Tittgemeyer: Learning from Delayed Reward und Punishment in a Spiking Neural Network Model of Basal Ganglia with Opposing D1/D2 Plasticity. ICANN (1) 2012: 459-466

Jenia Jitsev, Abigail Morrison, Marc Tittgemeyer: Learning from positive and negative rewards in a spiking neural network model of basal ganglia. IJCNN 2012: 1-8

Alexander Hanuschkin, J. Michael Herrmann, Abigail Morrison, Markus Diesmann: Compositionality of arm movements can be realized by propagating synchrony. Journal of Computational Neuroscience 30(3): 675-697 (2011)

Alexander Hanuschkin, Markus Diesmann, Abigail Morrison: A reafferent and feed-forward model of song syntax generation in the Bengalese finch. Journal of Computational Neuroscience 31(3): 509-532 (2011)

Wiebke Potjans, Markus Diesmann, Abigail Morrison: An Imperfect Dopaminergic Error Signal Can Drive Temporal-Difference Learning. PLoS Computational Biology 7(5) (2011)

Denise Berger, Christian Borgelt, Sebastien Louis, Abigail Morrison, Sonja Grün: Efficient Identification of Assembly Neurons within Massively Parallel Spike Trains. Comp. Int. and Neurosc. 2010 (2010)

Wiebke Potjans, Abigail Morrison, Markus Diesmann: A Spiking Neural Network Model of an Actor-Critic Learning Agent. Neural Computation 21(2): 301-339 (2009)

Abigail Morrison, Markus Diesmann, Wulfram Gerstner: Phenomenological models of synaptic plasticity based on spike timing. Biological Cybernetics 98(6): 459-478 (2008)

Romain Brette, Michelle Rudolph, Ted Carnevale, Michael L. Hines, David Beeman, James M. Bower, Markus Diesmann, Abigail Morrison, Philip H. Goodman, Frederick C. Harris Jr., Milind Zirpe, Thomas Natschläger, Dejan Pecevski, Bard Ermentrout, Mikael Djurfeldt, Anders Lansner, Olivier Rochel, Thierry Viéville, Eilif Mueller, Andrew P. Davison, Sami El Boustani, Alain Destexhe: Simulation of networks of spiking neurons: A review of tools and strategies. Journal of Computational Neuroscience 23(3): 349-398 (2007)

Abigail Morrison, Sirko Straube, Hans Ekkehard Plesser, Markus Diesmann: Exact Subthreshold Integration with Continuous Spike Times in Discrete-Time Neural Network Simulations. Neural Computation 19(1): 47-79 (2007)

Abigail Morrison, Ad Aertsen, Markus Diesmann: Spike-Timing-Dependent Plasticity in Balanced Random Networks. Neural Computation 19(6): 1437-1467 (2007)

Hans E. Plesser, Jochen M. Eppler, Abigail Morrison, Markus Diesmann, Marc-Oliver Gewaltig: Efficient Parallel Simulation of Large-Scale Neuronal Networks on Clusters of Multiprocessor Computers. Euro-Par 2007: 672-681

Jochen M. Eppler, Hans E. Plesser, Abigail Morrison, Markus Diesmann, Marc-Oliver Gewaltig: Multithreaded and Distributed Simulation of Large Biological Neuronal Networks. PVM/MPI 2007: 391-392

Ruben Guerrero-Rivera, Abigail Morrison, Markus Diesmann, Tim C. Pearce: Programmable Logic Construction Kits for Hyper-Real-Time Neuronal Modeling. Neural Computation 18(11): 2651-2679 (2006)

Abigail Morrison, Carsten Mehring, Theo Geisel, Ad Aertsen, Markus Diesmann: Advancing the Boundaries of High-Connectivity Network Simulation with Distributed Computing. Neural Computation 17(8): 1776-1801 (2005)

Tom Tetzlaff, Abigail Morrison, Theo Geisel, Markus Diesmann: Consequences of realistic network size on the stability of embedded synfire chains. Neurocomputing 58-60: 117-121 (2004)