Abigail Morrison

Orcid: 0000-0001-6933-797X

Affiliations:
  • Jülich Supercomputing Centre (JSC), Institute for Advanced Simulation, Germany
  • Ruhr University Bochum, Institute of Cognitive Neuroscience, Germany
  • University of Freiburg, Bernstein Center , Germany (PhD 2005)


According to our database1, Abigail Morrison authored at least 69 papers between 2004 and 2024.

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Bibliography

2024
Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks.
Swarm Intell., March, 2024

Empirical Comparison Between Cross-Validation and Mutation-Validation in Model Selection.
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

2023




Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices.
CoRR, 2023

SGD Biased towards Early Important Samples for Efficient Training.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022


Brain signal predictions from multi-scale networks using a linearized framework.
PLoS Comput. Biol., 2022

A System-on-Chip Based Hybrid Neuromorphic Compute Node Architecture for Reproducible Hyper-Real-Time Simulations of Spiking Neural Networks.
Frontiers Neuroinformatics, 2022

Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure.
Frontiers Neuroinformatics, 2022

Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn.
Frontiers Comput. Neurosci., 2022

Emergent communication enhances foraging behaviour in evolved swarms controlled by Spiking Neural Networks.
CoRR, 2022

Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density.
CoRR, 2022

Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn.
CoRR, 2022

2021

ConGen - A Simulator-Agnostic Visual Language for Definition and Generation of Connectivity in Large and Multiscale Neural Networks.
Frontiers Neuroinformatics, 2021

Unsupervised Learning and Clustered Connectivity Enhance Reinforcement Learning in Spiking Neural Networks.
Frontiers Comput. Neurosci., 2021

2020
Firing rate homeostasis counteracts changes in stability of recurrent neural networks caused by synapse loss in Alzheimer's disease.
PLoS Comput. Biol., 2020

2019
Leveraging heterogeneity for neural computation with fading memory in layer 2/3 cortical microcircuits.
PLoS Comput. Biol., 2019

Passing the Message: Representation Transfer in Modular Balanced Networks.
Frontiers Comput. Neurosci., 2019

A Closed-Loop Toolchain for Neural Network Simulations of Learning Autonomous Agents.
Frontiers Comput. Neurosci., 2019

Staged deployment of interactive multi-application HPC workflows.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

2018
Rigorous Neural Network Simulations: A Model Substantiation Methodology for Increasing the Correctness of Simulation Results in the Absence of Experimental Validation Data.
Frontiers Neuroinformatics, 2018

Reproducing Polychronization: A Guide to Maximizing the Reproducibility of Spiking Network Models.
Frontiers Neuroinformatics, 2018

Toward Rigorous Parameterization of Underconstrained Neural Network Models Through Interactive Visualization and Steering of Connectivity Generation.
Frontiers Neuroinformatics, 2018

Automatically Selecting a Suitable Integration Scheme for Systems of Differential Equations in Neuron Models.
Frontiers Neuroinformatics, 2018

Code Generation in Computational Neuroscience: A Review of Tools and Techniques.
Frontiers Neuroinformatics, 2018

Transferring State Representations in Hierarchical Spiking Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Encoding symbolic sequences with spiking neural reservoirs.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Homologous Basal Ganglia Network Models in Physiological and Parkinsonian Conditions.
Frontiers Comput. Neurosci., 2017

2016
Closed Loop Interactions between Spiking Neural Network and Robotic Simulators Based on MUSIC and ROS.
Frontiers Neuroinformatics, 2016

Effects of Calcium Spikes in the Layer 5 Pyramidal Neuron on Coincidence Detection and Activity Propagation.
Frontiers Comput. Neurosci., 2016

NESTML: a modeling language for spiking neurons.
Proceedings of the Modellierung 2016, 2.-4. März 2016, Karlsruhe, 2016

2015
Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activity.
J. Comput. Neurosci., 2015

Modeling the calcium spike as a threshold triggered fixed waveform for synchronous inputs in the fluctuation regime.
Frontiers Comput. Neurosci., 2015

2014
NEST: The Neural Simulation Tool.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

CyNEST: a maintainable Cython-based interface for the NEST simulator.
Frontiers Neuroinformatics, 2014

Spiking network simulation code for petascale computers.
Frontiers Neuroinformatics, 2014

Liquid computing on and off the edge of chaos with a striatal microcircuit.
Frontiers Comput. Neurosci., 2014

Dynamic stability of sequential stimulus representations in adapting neuronal networks.
Frontiers Comput. Neurosci., 2014

Self-Organized Artificial Grammar Learning in Spiking Neural Networks.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013
Integrating Brain Structure and Dynamics on Supercomputers.
Proceedings of the Brain-Inspired Computing - International Workshop, 2013

2012
Increasing quality and managing complexity in neuroinformatics software development with continuous integration.
Frontiers Neuroinformatics, 2012

Supercomputers Ready for Use as Discovery Machines for Neuroscience.
Frontiers Neuroinformatics, 2012

Learning from positive and negative rewards in a spiking neural network model of basal ganglia.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Learning from Delayed Reward und Punishment in a Spiking Neural Network Model of Basal Ganglia with Opposing D1/D2 Plasticity.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
An Imperfect Dopaminergic Error Signal Can Drive Temporal-Difference Learning.
PLoS Comput. Biol., 2011

Compositionality of arm movements can be realized by propagating synchrony.
J. Comput. Neurosci., 2011

A reafferent and feed-forward model of song syntax generation in the Bengalese finch.
J. Comput. Neurosci., 2011

Meeting the Memory Challenges of Brain-Scale Network Simulation.
Frontiers Neuroinformatics, 2011

2010
A General and Efficient Method for Incorporating Precise Spike Times in Globally Time-Driven Simulations.
Frontiers Neuroinformatics, 2010

A Compositionality Machine Realized by a Hierarchic Architecture of Synfire Chains.
Frontiers Comput. Neurosci., 2010

Enabling Functional Neural Circuit Simulations with Distributed Computing of Neuromodulated Plasticity.
Frontiers Comput. Neurosci., 2010

Limits to the Development of Feed-Forward Structures in Large Recurrent Neuronal Networks.
Frontiers Comput. Neurosci., 2010

Efficient Identification of Assembly Neurons within Massively Parallel Spike Trains.
Comput. Intell. Neurosci., 2010

2009
A Spiking Neural Network Model of an Actor-Critic Learning Agent.
Neural Comput., 2009

2008
Phenomenological models of synaptic plasticity based on spike timing.
Biol. Cybern., 2008

2007
Exact Subthreshold Integration with Continuous Spike Times in Discrete-Time Neural Network Simulations.
Neural Comput., 2007

Spike-Timing-Dependent Plasticity in Balanced Random Networks.
Neural Comput., 2007

Simulation of networks of spiking neurons: A review of tools and strategies.
J. Comput. Neurosci., 2007

Multithreaded and Distributed Simulation of Large Biological Neuronal Networks.
Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 14th European PVM/MPI User's Group Meeting, Paris, France, September 30, 2007

Efficient Parallel Simulation of Large-Scale Neuronal Networks on Clusters of Multiprocessor Computers.
Proceedings of the Euro-Par 2007, 2007

2006
Programmable Logic Construction Kits for Hyper-Real-Time Neuronal Modeling.
Neural Comput., 2006

2005
Spike-timing dependent plasticity in recurrent networks.
PhD thesis, 2005

Advancing the Boundaries of High-Connectivity Network Simulation with Distributed Computing.
Neural Comput., 2005

2004
Consequences of realistic network size on the stability of embedded synfire chains.
Neurocomputing, 2004


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