Erik De Schutter

  • Okinawa Institute of Science / Technology Graduate University, Okinawa, Japan
  • University of Antwerp, Belgium (former)

According to our database1, Erik De Schutter authored at least 73 papers between 1993 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



Efficient simulation of neural development using shared memory parallelization.
Frontiers Neuroinformatics, March, 2023

Models of Purkinje cell dendritic tree selection during early cerebellar development.
PLoS Comput. Biol., 2023

A differential Hebbian framework for biologically-plausible motor control.
Neural Networks, 2022

STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale.
Frontiers Neuroinformatics, 2022

Farewell, Neuroinformatics!
Neuroinformatics, 2021

Stochastic Spatially-Extended Simulations Predict the Effect of ER Distribution on Astrocytic Microdomain Ca2+ Activity.
Proceedings of the NANOCOM '21: The Eighth Annual ACM International Conference on Nanoscale Computing and Communication, Virtual Event, Italy, September 7, 2021

Pycabnn: Efficient and Extensible Software to Construct an Anatomical Basis for a Physiologically Realistic Neural Network Model.
Frontiers Neuroinformatics, 2020

Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Correction: Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer.
PLoS Comput. Biol., 2019

Fallacies of Mice Experiments.
Neuroinformatics, 2019

Draculab: A Python Simulator for Firing Rate Neural Networks With Delayed Adaptive Connections.
Frontiers Neuroinformatics, 2019

Deep Learning and Computational Neuroscience.
Neuroinformatics, 2018

Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer.
PLoS Comput. Biol., 2017

Time to Bring Single Neuron Modeling into 3D.
Neuroinformatics, 2017

Parallel STEPS: Large Scale Stochastic Spatial Reaction-Diffusion Simulation with High Performance Computers.
Frontiers Neuroinformatics, 2017

Neuroinformatics for Degenerate Brains.
Neuroinformatics, 2016

Cerebellar Nuclear Neurons Use Time and Rate Coding to Transmit Purkinje Neuron Pauses.
PLoS Comput. Biol., 2015

On the Firing Rate Dependency of the Phase Response Curve of Rat Purkinje Neurons <i>In Vitro</i>.
PLoS Comput. Biol., 2015

The Missing Piece of the Puzzle: Neuroinformatics at the Bench.
Neuroinformatics, 2015

Accurate Reaction-Diffusion Operator Splitting on Tetrahedral Meshes for Parallel Stochastic Molecular Simulations.
CoRR, 2015

The Dangers of Plug-and-Play Simulation Using Shared Models.
Neuroinformatics, 2014

The role of dendritic spine morphology in the compartmentalization and delivery of surface receptors.
J. Comput. Neurosci., 2014

Python-based geometry preparation and simulation visualization toolkits for STEPS.
Frontiers Neuroinformatics, 2014

The importance of stochastic signaling processes in the induction of long-term synaptic plasticity.
Neural Networks, 2013

Collaborative Modeling in Neuroscience: Time to Go Open Model?
Neuroinformatics, 2013

Efficient calculation of the quasi-static electrical potential on a tetrahedral mesh and its implementation in STEPS.
Frontiers Comput. Neurosci., 2013

The Layer-Oriented Approach to Declarative Languages for Biological Modeling.
PLoS Comput. Biol., 2012

Geometric Theory Predicts Bifurcations in Minimal Wiring Cost Trees in Biology Are Flat.
PLoS Comput. Biol., 2012

Ten Years of Neuroinformatics.
Neuroinformatics, 2012

The Promise and Shortcomings of XML as an Interchange Format for Computational Models of Biology.
Neuroinformatics, 2012

STEPS: efficient simulation of stochastic reaction-diffusion models in realistic morphologies.
BMC Syst. Biol., 2012

Next Steps in Data Publishing.
Neuroinformatics, 2011

Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells.
J. Comput. Neurosci., 2011

Data Publishing and Scientific Journals: The Future of the Scientific Paper in a World of Shared Data.
Neuroinformatics, 2010

Review of Papers Describing Neuroinformatics Software.
Neuroinformatics, 2009

The International Neuroinformatics Coordinating Facility: Evaluating the First Years.
Neuroinformatics, 2009

STEPS: modeling and simulating complex reaction-diffusion systems with Python.
Frontiers Neuroinformatics, 2009

Why Are Computational Neuroscience and Systems Biology So Separate?
PLoS Comput. Biol., 2008

Reviewing Multi-Disciplinary Papers: a Challenge in Neuroscience?
Neuroinformatics, 2008

Calcium, synaptic plasticity and intrinsic homeostasis in Purkinje neuron models.
Frontiers Comput. Neurosci., 2008

Automated neuron model optimization techniques: a review.
Biol. Cybern., 2008

Neuroscience Leading the Way: Reviews Cascade by the INCF.
Neuroinformatics, 2007

A second look back.
Neuroinformatics, 2007

Interoperability of Neuroscience Modeling Software: Current Status and Future Directions.
Neuroinformatics, 2007

Neurospaces: Towards automated model partitioning for parallel computers.
Neurocomputing, 2007

Neurofitter: a parameter tuning package for a wide range of electrophysiological neuron models.
Frontiers Neuroinformatics, 2007

A Novel High Channel-Count System for Acute Multisite Neuronal Recordings.
IEEE Trans. Biomed. Eng., 2006

Complex Parameter Landscape for a Complex Neuron Model.
PLoS Comput. Biol., 2006

On the future of the human brain project.
Neuroinformatics, 2006

Changes and opportunities.
Neuroinformatics, 2005

The Effect of NMDA Receptors on Gain Modulation.
Neural Comput., 2005

Computational Neuroscience: Trends in Research 2005.
Neurocomputing, 2005

A look back.
Neuroinformatics, 2004

Passive models of neurons in the deep cerebellar nuclei: the effect of reconstruction errors.
Neurocomputing, 2004

Computational Neuroscience: Trends in research 2004.
Neurocomputing, 2004

Neurospaces parameter handling.
Neurocomputing, 2004

A detailed three-dimensional model of the cerebellar granular layer.
Neurocomputing, 2004

Neuroscience data and tool sharing - A legal and policy framework for neuroinformatics.
Neuroinformatics, 2003

An information science infrastructure for neuroscience.
Neuroinformatics, 2003

Involvement of multiple functionally distinct cerebellar regions in visual discrimination: a human functional imaging study.
NeuroImage, 2003

Novelty detection in a Kohonen-like network with a long-term depression learning rule.
Neurocomputing, 2003

Synchronization of Purkinje cell pairs along the parallel fiber axis: a model.
Neurocomputing, 2003

NeuroSpaces: separating modeling and simulation.
Neurocomputing, 2003

Modulatory Effects of Parallel Fiber and Molecular Layer Interneuron Synaptic Activity on Purkinje Cell Responses to Ascending Segment Input: A Modeling Study.
J. Comput. Neurosci., 2002

Rank order decoding of temporal parallel fibre input patterns in a complex Purkinje cell model.
Neurocomputing, 2002

NeuroML for plug and play neuronal modeling.
Neurocomputing, 2002

Long-term depression and recognition of parallel fibre patterns in a multi-compartmental model of a cerebellar Purkinje cell.
Neurocomputing, 2001

NEOSIM: Portable large-scale plug and play modelling.
Neurocomputing, 2001

Synchronization between patches of local excitation in a cerebellar granular layer model.
Neurocomputing, 2001

A large-scale model of the cerebellar cortex using PGENESIS.
Neurocomputing, 2000

Modeling the leech heartbeat elemental oscillator I. Interactions of intrinsic and synaptic currents.
J. Comput. Neurosci., 1995

Voltage-imaging and simulation of effects of voltage- and agonist-activated conductances on soma-dendritic voltage coupling in cerebellar Purkinje cells.
J. Comput. Neurosci., 1994

Sensitivity of Synaptic Plasticity to the Ca<sup>2+</sup> Permeability of NMDA Channels: A Model of Long-Term Potentiation in Hippocampal Neurons.
Neural Comput., 1993