Abigail Morrison
Abigail Morrison
Jülich Research Center
Verified email at - Homepage
Cited by
Cited by
Simulation of networks of spiking neurons: a review of tools and strategies
R Brette, M Rudolph, T Carnevale, M Hines, D Beeman, JM Bower, ...
Journal of computational neuroscience 23, 349-398, 2007
Phenomenological models of synaptic plasticity based on spike timing
A Morrison, M Diesmann, W Gerstner
Biological cybernetics 98, 459-478, 2008
Spike-timing-dependent plasticity in balanced random networks
A Morrison, A Aertsen, M Diesmann
Neural computation 19 (6), 1437-1467, 2007
Advancing the boundaries of high-connectivity network simulation with distributed computing
A Morrison, C Mehring, T Geisel, AD Aertsen, M Diesmann
Neural computation 17 (8), 1776-1801, 2005
Exact subthreshold integration with continuous spike times in discrete-time neural network simulations
A Morrison, S Straube, HE Plesser, M Diesmann
Neural computation 19 (1), 47-79, 2007
Spiking network simulation code for petascale computers
S Kunkel, M Schmidt, JM Eppler, HE Plesser, G Masumoto, J Igarashi, ...
Frontiers in neuroinformatics 8, 78, 2014
Efficient parallel simulation of large-scale neuronal networks on clusters of multiprocessor computers
HE Plesser, JM Eppler, A Morrison, M Diesmann, MO Gewaltig
Euro-Par 2007 Parallel Processing: 13th International Euro-Par Conference …, 2007
A spiking neural network model of an actor-critic learning agent
W Potjans, A Morrison, M Diesmann
Neural computation 21 (2), 301-339, 2009
Supercomputers ready for use as discovery machines for neuroscience
M Helias, S Kunkel, G Masumoto, J Igarashi, JM Eppler, S Ishii, T Fukai, ...
Frontiers in neuroinformatics 6, 26, 2012
A general and efficient method for incorporating precise spike times in globally time-driven simulations
A Hanuschkin, S Kunkel, M Helias, A Morrison, M Diesmann
Frontiers in neuroinformatics 4, 113, 2010
Meeting the memory challenges of brain-scale network simulation
S Kunkel, TC Potjans, JM Eppler, HE Plesser, A Morrison, M Diesmann
Frontiers in neuroinformatics 5, 35, 2012
Automatic generation of connectivity for large-scale neuronal network models through structural plasticity
S Diaz-Pier, M Naveau, M Butz-Ostendorf, A Morrison
Frontiers in neuroanatomy 10, 57, 2016
Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activity
YV Zaytsev, A Morrison, M Deger
Journal of computational neuroscience 39, 77-103, 2015
Limits to the development of feed-forward structures in large recurrent neuronal networks
S Kunkel, M Diesmann, A Morrison
Frontiers in computational neuroscience 4, 160, 2011
An imperfect dopaminergic error signal can drive temporal-difference learning
W Potjans, M Diesmann, A Morrison
PLoS computational biology 7 (5), e1001133, 2011
Enabling functional neural circuit simulations with distributed computing of neuromodulated plasticity
W Potjans, A Morrison, M Diesmann
Frontiers in computational neuroscience 4, 141, 2010
Code generation in computational neuroscience: a review of tools and techniques
I Blundell, R Brette, TA Cleland, TG Close, D Coca, AP Davison, ...
Frontiers in neuroinformatics 12, 68, 2018
NEST: the Neural Simulation Tool.
HE Plesser, M Diesmann, MO Gewaltig, A Morrison
Encyclopedia of computational neuroscience 1, 1-3, 2014
Synaptic patterning and the timescales of cortical dynamics
R Duarte, A Seeholzer, K Zilles, A Morrison
Current Opinion in Neurobiology 43, 156-165, 2017
Nest 2.12. 0
S Kunkel, R Deepu, HE Plesser, B Golosio, ME Lepperød, JM Eppler, ...
Jülich Supercomputing Center, 2017
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