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Frontiers in Computational Neuroscience|March 22, 2021
Unsupervised Learning and Clustered Connectivity Enhance Reinforcement Learning in Spiking Neural NetworksPhilipp Weidel, Renato Duarte, Abigail MorrisonBehavioural Brain Research|May 14, 2016
Corticostriatal circuit mechanisms of value-based action selection: Implementation of reinforcement learning algorithms and beyondKenji Morita, Jenia Jitsev, Abigail MorrisonFrontiers in Integrative Neuroscience|July 3, 2023
Toward reproducible models of sequence learning: replication and analysis of a modular spiking network with reward-based learningBarna Zajzon, Renato Duarte, Abigail MorrisonFrontiers in Integrative Neuroscience|October 31, 2022
Learning and replaying spatiotemporal sequences: A replication studyJette Oberländer, Younes Bouhadjar, Abigail MorrisonFrontiers in Computational Neuroscience|December 15, 2010
Enabling functional neural circuit simulations with distributed computing of neuromodulated plasticityWiebke Potjans, Abigail Morrison, Markus DiesmannFrontiers in Computational Neuroscience|March 19, 2011
Limits to the development of feed-forward structures in large recurrent neuronal networksSusanne Kunkel, Markus Diesmann, Abigail MorrisonNeural Computation|April 21, 2007
Spike-timing-dependent plasticity in balanced random networksAbigail Morrison, Ad Aertsen, Markus DiesmannFrontiers in Computational Neuroscience|August 19, 2015
Modeling the calcium spike as a threshold triggered fixed waveform for synchronous inputs in the fluctuation regimeYansong Chua, Abigail Morrison, Moritz HeliasPlos Computational Biology|May 19, 2011
An imperfect dopaminergic error signal can drive temporal-difference learningWiebke Potjans, Markus Diesmann, Abigail MorrisonFrontiers in Computational Neuroscience|January 25, 2011
A compositionality machine realized by a hierarchic architecture of synfire chainsSven Schrader, Markus Diesmann, Abigail MorrisonPageof 7