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ORCIDErik De Schutter
Person information
- affiliation: Okinawa Institute of Science / Technology Graduate University, Okinawa, Japan
- affiliation (former): University of Antwerp, Belgium
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2020 – today
- 2023
[j70]Erik De Schutter
:
Efficient simulation of neural development using shared memory parallelization. Frontiers Neuroinformatics 17 (2023)- [j69]Mizuki Kato, Erik De Schutter:
Models of Purkinje cell dendritic tree selection during early cerebellar development. PLoS Comput. Biol. 19(7) (2023) - 2022
- [j68]Weiliang Chen, Tristan Carel, Omar Awile, Nicola Cantarutti, Giacomo Castiglioni, Alessandro Cattabiani, Baudouin Del Marmol, Iain Hepburn, James G. King, Christos Kotsalos, Pramod S. Kumbhar, Jules Lallouette, Samuel Melchior, Felix Schürmann, Erik De Schutter:
STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale. Frontiers Neuroinformatics 16 (2022) - [j67]Sergio Oscar Verduzco-Flores, William Dorrell, Erik De Schutter:
A differential Hebbian framework for biologically-plausible motor control. Neural Networks 150: 237-258 (2022) - 2021
- [j66]Giorgio A. Ascoli, David N. Kennedy, Erik De Schutter:
Farewell, Neuroinformatics! Neuroinformatics 19(4): 551-552 (2021) - [c2]Audrey Denizot, Corrado Calì, Hugues Berry, Erik De Schutter:
Stochastic Spatially-Extended Simulations Predict the Effect of ER Distribution on Astrocytic Microdomain Ca2+ Activity. NANOCOM 2021: 20:1-20:5 - 2020
- [j65]Ines Wichert, Sanghun Jee, Erik De Schutter, Sungho Hong:
Pycabnn: Efficient and Extensible Software to Construct an Anatomical Basis for a Physiologically Realistic Neural Network Model. Frontiers Neuroinformatics 14: 31 (2020) - [c1]Dongqi Han, Erik De Schutter, Sungho Hong:
Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks. NeurIPS 2020 - [i3]Dongqi Han, Erik De Schutter, Sungho Hong:
Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks. CoRR abs/2010.12127 (2020)
2010 – 2019
- 2019
- [j64]Sergio Oscar Verduzco-Flores, Erik De Schutter:
Draculab: A Python Simulator for Firing Rate Neural Networks With Delayed Adaptive Connections. Frontiers Neuroinformatics 13: 18 (2019) - [j63]Erik De Schutter:
Fallacies of Mice Experiments. Neuroinformatics 17(2): 181-183 (2019) - [j62]Shyam Kumar Sudhakar, Sungho Hong, Ivan Raikov, Rodrigo Publio, Claus Lang, Thomas G. Close, Daqing Guo, Mario Negrello, Erik De Schutter:
Correction: Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer. PLoS Comput. Biol. 15(10) (2019) - 2018
- [j61]Erik De Schutter:
Deep Learning and Computational Neuroscience. Neuroinformatics 16(1): 1-2 (2018) - 2017
- [j60]Weiliang Chen, Erik De Schutter:
Parallel STEPS: Large Scale Stochastic Spatial Reaction-Diffusion Simulation with High Performance Computers. Frontiers Neuroinformatics 11: 13 (2017) - [j59]Weiliang Chen, Erik De Schutter:
Time to Bring Single Neuron Modeling into 3D. Neuroinformatics 15(1): 1-3 (2017) - [j58]Shyam Kumar Sudhakar, Sungho Hong, Ivan Raikov, Rodrigo Publio, Claus Lang, Thomas G. Close, Daqing Guo, Mario Negrello, Erik De Schutter:
Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer. PLoS Comput. Biol. 13(9) (2017) - 2016
- [j57]Erik De Schutter:
Neuroinformatics for Degenerate Brains. Neuroinformatics 14(1): 1-3 (2016) - [i2]Weiliang Chen, Erik De Schutter:
Parallel STEPS: Large Scale Stochastic Spatial Reaction-Diffusion Simulation with High Performance Computers. CoRR abs/1610.02258 (2016) - 2015
- [j56]Erik De Schutter:
The Missing Piece of the Puzzle: Neuroinformatics at the Bench. Neuroinformatics 13(2): 131-132 (2015) - [j55]João Couto, Daniele Linaro, Erik De Schutter, Michele Giugliano:
On the Firing Rate Dependency of the Phase Response Curve of Rat Purkinje Neurons In Vitro. PLoS Comput. Biol. 11(3) (2015) - [j54]Shyam Kumar Sudhakar, Benjamin Torben-Nielsen, Erik De Schutter:
Cerebellar Nuclear Neurons Use Time and Rate Coding to Transmit Purkinje Neuron Pauses. PLoS Comput. Biol. 11(12) (2015) - [i1]Iain Hepburn, Weiliang Chen, Erik De Schutter:
Accurate Reaction-Diffusion Operator Splitting on Tetrahedral Meshes for Parallel Stochastic Molecular Simulations. CoRR abs/1512.03126 (2015) - 2014
- [j53]Weiliang Chen, Erik De Schutter:
Python-based geometry preparation and simulation visualization toolkits for STEPS. Frontiers Neuroinformatics 8: 37 (2014) - [j52]Cory M. Simon, Iain Hepburn, Weiliang Chen, Erik De Schutter:
The role of dendritic spine morphology in the compartmentalization and delivery of surface receptors. J. Comput. Neurosci. 36(3): 483-497 (2014) - [j51]Erik De Schutter:
The Dangers of Plug-and-Play Simulation Using Shared Models. Neuroinformatics 12(2): 227-228 (2014) - 2013
- [j50]Iain Hepburn, Robert C. Cannon, Erik De Schutter:
Efficient calculation of the quasi-static electrical potential on a tetrahedral mesh and its implementation in STEPS. Frontiers Comput. Neurosci. 7: 129 (2013) - [j49]Erik De Schutter:
Collaborative Modeling in Neuroscience: Time to Go Open Model? Neuroinformatics 11(2): 135-136 (2013) - [j48]Erik De Schutter:
The importance of stochastic signaling processes in the induction of long-term synaptic plasticity. Neural Networks 47: 3-10 (2013) - 2012
- [j47]Iain Hepburn, Weiliang Chen, Stefan Wils, Erik De Schutter:
STEPS: efficient simulation of stochastic reaction-diffusion models in realistic morphologies. BMC Syst. Biol. 6: 36 (2012) - [j46]Ivan Raikov, Erik De Schutter:
The Promise and Shortcomings of XML as an Interchange Format for Computational Models of Biology. Neuroinformatics 10(1): 1-3 (2012) - [j45]Erik De Schutter, Giorgio A. Ascoli, David N. Kennedy:
Ten Years of Neuroinformatics. Neuroinformatics 10(4): 329-330 (2012) - [j44]Yihwa Kim, Robert Sinclair, Nol Chindapol, Jaap A. Kaandorp, Erik De Schutter:
Geometric Theory Predicts Bifurcations in Minimal Wiring Cost Trees in Biology Are Flat. PLoS Comput. Biol. 8(4) (2012) - [j43]Ivan Raikov, Erik De Schutter:
The Layer-Oriented Approach to Declarative Languages for Biological Modeling. PLoS Comput. Biol. 8(5) (2012) - 2011
- [j42]Volker Steuber, Nathan W. Schultheiss, Angus Silver, Erik De Schutter, Dieter Jaeger:
Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells. J. Comput. Neurosci. 30(3): 633-658 (2011) - [j41]David N. Kennedy, Giorgio A. Ascoli, Erik De Schutter:
Next Steps in Data Publishing. Neuroinformatics 9(4): 317-320 (2011) - 2010
- [j40]Erik De Schutter:
Data Publishing and Scientific Journals: The Future of the Scientific Paper in a World of Shared Data. Neuroinformatics 8(3): 151-153 (2010)
2000 – 2009
- 2009
- [j39]Stefan Wils, Erik De Schutter:
STEPS: modeling and simulating complex reaction-diffusion systems with Python. Frontiers Neuroinformatics 3: 15 (2009) - [j38]Erik De Schutter:
The International Neuroinformatics Coordinating Facility: Evaluating the First Years. Neuroinformatics 7(3): 161-163 (2009) - [j37]Erik De Schutter, Giorgio A. Ascoli, David N. Kennedy:
Review of Papers Describing Neuroinformatics Software. Neuroinformatics 7(4): 211-212 (2009) - 2008
- [j36]Werner Van Geit, Erik De Schutter, Pablo Achard:
Automated neuron model optimization techniques: a review. Biol. Cybern. 99(4-5): 241-251 (2008) - [j35]Pablo Achard, Erik De Schutter:
Calcium, synaptic plasticity and intrinsic homeostasis in Purkinje neuron models. Frontiers Comput. Neurosci. 2: 8 (2008) - [j34]Erik De Schutter:
Reviewing Multi-Disciplinary Papers: a Challenge in Neuroscience? Neuroinformatics 6(4): 253-255 (2008) - [j33]Erik De Schutter:
Why Are Computational Neuroscience and Systems Biology So Separate? PLoS Comput. Biol. 4(5) (2008) - 2007
- [j32]Werner Van Geit, Pablo Achard, Erik De Schutter:
Neurofitter: a parameter tuning package for a wide range of electrophysiological neuron models. Frontiers Neuroinformatics 1: 1 (2007) - [j31]Hugo Cornelis, Erik De Schutter:
Neurospaces: Towards automated model partitioning for parallel computers. Neurocomputing 70(10-12): 2117-2121 (2007) - [j30]Erik De Schutter:
A second look back. Neuroinformatics 5(1): 1-2 (2007) - [j29]Robert C. Cannon, Marc-Oliver Gewaltig, Padraig Gleeson, Upinder S. Bhalla, Hugo Cornelis, Michael L. Hines, Fredrick W. Howell, Eilif Mueller, Joel R. Stiles, Stefan Wils, Erik De Schutter:
Interoperability of Neuroscience Modeling Software: Current Status and Future Directions. Neuroinformatics 5(2): 127-138 (2007) - [j28]Erik De Schutter:
Neuroscience Leading the Way: Reviews Cascade by the INCF. Neuroinformatics 5(4): 205-206 (2007) - 2006
- [j27]Erik De Schutter, Giorgio A. Ascoli, David N. Kennedy:
On the future of the human brain project. Neuroinformatics 4(2): 129-130 (2006) - [j26]Pablo Achard, Erik De Schutter:
Complex Parameter Landscape for a Complex Neuron Model. PLoS Comput. Biol. 2(7) (2006) - [j25]Ulrich G. Hofmann, Andre Folkers, Florian Mösch, Thomas Malina, Kerstin M. L. Menne, Gerardo Biella, Patriq Fagerstedt, Erik De Schutter, Winnie Jensen, Ken Yoshida, Dirk Hoehl, Uwe Thomas, Maria G. Kindlundh, Peter Norlin, Marco de Curtis:
A Novel High Channel-Count System for Acute Multisite Neuronal Recordings. IEEE Trans. Biomed. Eng. 53(8): 1672-1677 (2006) - 2005
- [j24]Erik De Schutter:
Computational Neuroscience: Trends in Research 2005. Neurocomputing 65-66: 1-3 (2005) - [j23]Michiel Berends, Reinoud Maex, Erik De Schutter:
The Effect of NMDA Receptors on Gain Modulation. Neural Comput. 17(12): 2531-2547 (2005) - [j22]Erik De Schutter:
Changes and opportunities. Neuroinformatics 3(2): 79-80 (2005) - 2004
- [j21]Volker Steuber, Erik De Schutter, Dieter Jaeger:
Passive models of neurons in the deep cerebellar nuclei: the effect of reconstruction errors. Neurocomputing 58-60: 563-568 (2004) - [j20]Michiel Berends, Reinoud Maex, Erik De Schutter:
A detailed three-dimensional model of the cerebellar granular layer. Neurocomputing 58-60: 587-592 (2004) - [j19]Hugo Cornelis, Erik De Schutter:
Neurospaces parameter handling. Neurocomputing 58-60: 1079-1084 (2004) - [j18]Erik De Schutter:
Computational Neuroscience: Trends in research 2004. Neurocomputing 58-60 (2004) - [j17]Erik De Schutter:
A look back. Neuroinformatics 2(1): 1-2 (2004) - 2003
- [j16]Sergio Solinas, Reinoud Maex, Erik De Schutter:
Synchronization of Purkinje cell pairs along the parallel fiber axis: a model. Neurocomputing 52-54: 97-102 (2003) - [j15]Hugo Cornelis, Erik De Schutter:
NeuroSpaces: separating modeling and simulation. Neurocomputing 52-54: 227-231 (2003) - [j14]Dionyssios Theofilou, Volker Steuber, Erik De Schutter:
Novelty detection in a Kohonen-like network with a long-term depression learning rule. Neurocomputing 52-54: 411-417 (2003) - [j13]Kristl G. Claeys, Guy A. Orban, Patrick Dupont, Stefan Sunaert, Paul Van Hecke, Erik De Schutter:
Involvement of multiple functionally distinct cerebellar regions in visual discrimination: a human functional imaging study. NeuroImage 20(2): 840-854 (2003) - [j12]Giorgio A. Ascoli, Erik De Schutter, David N. Kennedy:
An information science infrastructure for neuroscience. Neuroinformatics 1(1): 1-2 (2003) - [j11]Peter Eckersley, Gary F. Egan, Erik De Schutter, Yiyuan Tang, Mirko Novak, Václav Sebesta, Line Matthiessen, Iiro P. Jääskeläinen, Ulla Ruotsalainen, Andreas V. M. Herz, K. Peter Hoffmann, Raphael Ritz, Viji Ravindranath, Francesco Beltrame, Shun-ichi Amari, Shiro Usui, Soo-Young Lee, Jaap van Pelt, Jan G. Bjaalie, Andrzej Wróbel, Fernando Mira da Silva, Carmen González, Sten Grillner, Paul F. M. J. Verschure, Turgay Dalkara, Robert Bennett, David Willshaw, Stephen H. Koslow, Perry L. Miller, Shankar Subramaniam, Arthur W. Toga:
Neuroscience data and tool sharing - A legal and policy framework for neuroinformatics. Neuroinformatics 1(2): 149-165 (2003) - 2002
- [j10]Volker Steuber, Erik De Schutter:
Rank order decoding of temporal parallel fibre input patterns in a complex Purkinje cell model. Neurocomputing 44-46: 183-188 (2002) - [j9]Nigel H. Goddard, David Beeman, Robert C. Cannon, Hugo Cornelis, Marc-Oliver Gewaltig, Greg Hood, Fredrick W. Howell, P. Rogister, Erik De Schutter, K. Shankar, Michael Hucka:
NeuroML for plug and play neuronal modeling. Neurocomputing 44-46: 1077-1081 (2002) - [j8]Fidel Santamaría, Dieter Jaeger, Erik De Schutter, James M. Bower:
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. 13(3): 217-235 (2002) - 2001
- [j7]Volker Steuber, Erik De Schutter:
Long-term depression and recognition of parallel fibre patterns in a multi-compartmental model of a cerebellar Purkinje cell. Neurocomputing 38-40: 383-388 (2001) - [j6]Paul Franck, Reinoud Maex, Erik De Schutter:
Synchronization between patches of local excitation in a cerebellar granular layer model. Neurocomputing 38-40: 595-599 (2001) - [j5]Nigel H. Goddard, Greg Hood, Fredrick W. Howell, Michael L. Hines, Erik De Schutter:
NEOSIM: Portable large-scale plug and play modelling. Neurocomputing 38-40: 1657-1661 (2001) - 2000
- [j4]Fredrick W. Howell, Jonas Dyhrfjeld-Johnsen, Reinoud Maex, Nigel H. Goddard, Erik De Schutter:
A large-scale model of the cerebellar cortex using PGENESIS. Neurocomputing 32-33: 1041-1046 (2000)
1990 – 1999
- 1995
- [j3]Farzan Nadim, Øystein H. Olsen, Erik De Schutter, Ronald L. Calabrese:
Modeling the leech heartbeat elemental oscillator I. Interactions of intrinsic and synaptic currents. J. Comput. Neurosci. 2(3): 215-235 (1995) - 1994
- [j2]C. Staub, Erik De Schutter, Thomas Knöpfel:
Voltage-imaging and simulation of effects of voltage- and agonist-activated conductances on soma-dendritic voltage coupling in cerebellar Purkinje cells. J. Comput. Neurosci. 1(4): 301-311 (1994) - 1993
- [j1]Erik De Schutter, James M. Bower:
Sensitivity of Synaptic Plasticity to the Ca2+ Permeability of NMDA Channels: A Model of Long-Term Potentiation in Hippocampal Neurons. Neural Comput. 5(5): 681-694 (1993)
Coauthor Index
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