Erik De Schutter

发表

Neuroscience Leading the Way: Reviews Cascade by the INCF

Erik De Schutter, 2007, Neuroinformatics.

Decoding Purkinje cell simple spike trains: Patterns and pauses

Erik De Schutter, 2007, Neuroscience Research.

Interoperability of Neuroscience Modeling Software: Current Status and Future Directions

Michael L. Hines, Marc-Oliver Gewaltig, Erik De Schutter, 2007, Neuroinformatics.

Neurospaces parameter handling

Erik De Schutter, Hugo Cornelis, 2004, Neurocomputing.

Computational Neuroscience: Trends in Research 2005

Erik De Schutter, E. Schutter, 2003, Neurocomputing.

Impact of Neuronal Properties on Network Coding: Roles of Spike Initiation Dynamics and Robust Synchrony Transfer

Erik De Schutter, Sungho Hong, Stéphanie Ratté, 2013, Neuron.

Computational Modeling Methods for Neuroscientists

Erik De Schutter, E. Schutter, 2009 .

Computational neuroscience : realistic modeling for experimentalists

Erik De Schutter, E. Schutter, 2000 .

Frontiers in Computational Neuroscience Calcium, Synaptic Plasticity and Intrinsic Homeostasis in Purkinje Neuron Models Materials and Methods Original Pc Model

Erik De Schutter, Pablo Achard, E. De Schutter, 2022 .

The importance of stochastic signaling processes in the induction of long-term synaptic plasticity

Erik De Schutter, E. Schutter, 2013, Neural Networks.

UvA-DARE ( Digital Academic Repository ) Geometric theory predicts bifurcations in minimal wiring cost trees in biology are flat

Robert Sinclair, Erik De Schutter, Jaap A. Kaandorp, 2012 .

Modeling the leech heartbeat elemental oscillator I. Interactions of intrinsic and synaptic currents

Farzan Nadim, Erik De Schutter, Øystein H. Olsen, 1995, Journal of Computational Neuroscience.

Changes and opportunities

Erik De Schutter, E. Schutter, 2005, Neuroinformatics.

Monte Carlo Methods for Simulating Realistic Synaptic Microphysiology Using MCell

Erik De Schutter, E. Schutter, 2000 .

The Missing Piece of the Puzzle: Neuroinformatics at the Bench

Erik De Schutter, E. De Schutter, 2015, Neuroinformatics.

Fitting maximal conductances and ion channel kinetics of a Purkinje cell model to experimental data using the Neurofitter software

Erik De Schutter, Werner Van Geit, Werner Van Geit, 1970 .

Sensitivity of Synaptic Plasticity to the Ca2+ Permeability of NMDA Channels: A Model of Long-Term Potentiation in Hippocampal Neurons

James M. Bower, Erik De Schutter, J. Bower, 1993, Neural Computation.

Fallacies of Mice Experiments

Erik De Schutter, E. Schutter, 2019, Neuroinformatics.

Faculty Opinions recommendation of The ion channel inverse problem: neuroinformatics meets biophysics.

Erik De Schutter, E. Schutter, 2006 .

Biophysically detailed modelling of microcircuits and beyond

Anders Lansner, Jeanette Hellgren Kotaleski, Erik De Schutter, 2005, Trends in Neurosciences.

Draculab: A Python Simulator for Firing Rate Neural Networks With Delayed Adaptive Connections

Erik De Schutter, Sergio Oscar Verduzco-Flores, E. Schutter, 2019, Front. Neuroinform..

NeuroSpaces: separating modeling and simulation

Erik De Schutter, Hugo Cornelis, 2003, Neurocomputing.

A detailed three-dimensional model of the cerebellar granular layer

Erik De Schutter, Reinoud Maex, Michiel Berends, 2004, Neurocomputing.

Correction: Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer

Daqing Guo, Mario Negrello, Erik De Schutter, 2019, PLoS Comput. Biol..

A European Collaboration on Cerebellar LTD and Pattern Recognition

Erik De Schutter, Volker Steuber, 2008 .

The Dangers of Plug-and-Play Simulation Using Shared Models

Erik De Schutter, E. Schutter, 2014, Neuroinformatics.

Passive models of neurons in the deep cerebellar nuclei: the effect of reconstruction errors

Erik De Schutter, Dieter Jaeger, Volker Steuber, 2004, Neurocomputing.

Pycabnn: Efficient and Extensible Software to Construct an Anatomical Basis for a Physiologically Realistic Neural Network Model

Erik De Schutter, Sungho Hong, Ines Wichert, 2020, Frontiers in Neuroinformatics.

Synchronization between patches of local excitation in a cerebellar granular layer model

Erik De Schutter, Reinoud Maex, Paul Franck, 2001, Neurocomputing.

Voltage-imaging and simulation of effects of voltage- and agonist-activated conductances on soma-dendritic voltage coupling in cerebellar Purkinje cells

Erik De Schutter, Thomas Knöpfel, C. Staub, 1994, Journal of Computational Neuroscience.

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

Erik De Schutter, Volker Steuber, 2001, Neurocomputing.

The International Neuroinformatics Coordinating Facility: Evaluating the First Years

Erik De Schutter, 2009, Neuroinformatics.

Automated neuron model optimization techniques: a review

Erik De Schutter, Werner Van Geit, Pablo Achard, 2008, Biological Cybernetics.

Collaborative Modeling in Neuroscience: Time to Go Open Model?

Erik De Schutter, 2013, Neuroinformatics.

NEOSIM: Portable large-scale plug and play modelling

Michael L. Hines, Erik De Schutter, Nigel H. Goddard, 2001, Neurocomputing.

A second look back

Erik De Schutter, E. Schutter, 2007, Neuroinformatics.

A consumer guide to neuronal modeling software

Erik De Schutter, E. Schutter, 1992, Trends in Neurosciences.

Stochastic modeling of inositol-1,4,5-trisphosphate receptors in Purkinje cell spine

Erik De Schutter, Stefan Wils, Marja-Leena Linne, 2008 .

Novelty detection in a Kohonen-like network with a long-term depression learning rule

Erik De Schutter, Volker Steuber, Dionyssios Theofilou, 2003, Neurocomputing.

Faculty Opinions recommendation of Biochemical signaling networks decode temporal patterns of synaptic input.

Erik De Schutter, E. Schutter, 2002 .

Deep Learning and Computational Neuroscience

Erik De Schutter, 2018, Neuroinformatics.

Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells

Erik De Schutter, Dieter Jaeger, Volker Steuber, 2010, Journal of Computational Neuroscience.

Data Publishing and Scientific Journals: The Future of the Scientific Paper in a World of Shared Data

Erik De Schutter, E. Schutter, 2010, Neuroinformatics.

Comment on "The growth of cognition: Free energy minimization and the embryogenesis of cortical computation".

Erik De Schutter, E. De Schutter, 2020, Physics of life reviews.

Progress in Neuroinformatics

James M. Bower, Efthimis N. Efthimiadis, Jason Leigh, 1997 .

Neurospaces: Towards automated model partitioning for parallel computers

Erik De Schutter, Hugo Cornelis, E. Schutter, 2007, Neurocomputing.

Python-based geometry preparation and simulation visualization toolkits for STEPS

Erik De Schutter, Weiliang Chen, E. Schutter, 2014, Front. Neuroinform..

Using Neurofitter to fit a Purkinje cell model to experimental data

Erik De Schutter, Werner Van Geit, 2008, BMC Neuroscience.

Rank order decoding of temporal parallel fibre input patterns in a complex Purkinje cell model

Erik De Schutter, Volker Steuber, 2002, Neurocomputing.

STEPS: Modeling and Simulating Complex Reaction-Diffusion Systems with Python

Erik De Schutter, Stefan Wils, E. Schutter, 2008, Frontiers in Neuroinformatics.

The Layer-Oriented Approach to Declarative Languages for Biological Modeling

Ivan Raikov, Erik De Schutter, Ivan Georgiev Raikov, 2012, PLoS Comput. Biol..

Cerebellar Nuclear Neurons Use Time and Rate Coding to Transmit Purkinje Neuron Pauses

Erik De Schutter, Benjamin Torben-Nielsen, Shyam Kumar Sudhakar, 2015, PLoS Comput. Biol..

The Promise and Shortcomings of XML as an Interchange Format for Computational Models of Biology

Ivan Raikov, Erik De Schutter, 2011, Neuroinformatics.

Nodus: A User Friendly Neuron Simulator for Macintosh Computers

Erik De Schutter, E. Schutter, 1993 .

Neuroinformatics for Degenerate Brains

Erik De Schutter, E. De Schutter, 2015, Neuroinformatics.

Accurate Reaction-Diffusion Operator Splitting on Tetrahedral Meshes for Parallel Stochastic Molecular Simulations

Erik De Schutter, Iain Hepburn, Weiliang Chen, 2015, The Journal of chemical physics.

On the future of the human brain project

David N. Kennedy, Giorgio A. Ascoli, Erik De Schutter, 2007, Neuroinformatics.

Parallel STEPS: Large Scale Stochastic Spatial Reaction-Diffusion Simulation with High Performance Computers

Erik De Schutter, Weiliang Chen, E. Schutter, 2016, Front. Neuroinform..

A large-scale model of the cerebellar cortex using PGENESIS

Erik De Schutter, Nigel H. Goddard, Fredrick W. Howell, 2000, Neurocomputing.

The role of dendritic spine morphology in the compartmentalization and delivery of surface receptors

Cory M. Simon, Erik De Schutter, Iain Hepburn, 2014, Journal of Computational Neuroscience.

Synchronization of Purkinje Cell Pairs Along the Parallel Fiber Axis: A Modeling Study

Erik De Schutter, Reinoud Maex, Sergio Solinas, 2002, Neurocomputing.

Speeding Up GENESIS Simulations

Erik De Schutter, David Beeman, D. Beeman, 1998 .

Efficient calculation of the quasi-static electrical potential on a tetrahedral mesh and its implementation in STEPS

Erik De Schutter, Robert C. Cannon, Iain Hepburn, 2013, Front. Comput. Neurosci..

Review of Papers Describing Neuroinformatics Software

David N. Kennedy, Giorgio A. Ascoli, Erik De Schutter, 2009, Neuroinformatics.

Reviewing Multi-Disciplinary Papers: a Challenge in Neuroscience?

Erik De Schutter, E. Schutter, 2008, Neuroinformatics.

Modulatory Effects of Parallel Fiber and Molecular Layer Interneuron Synaptic Activity on Purkinje Cell Responses to Ascending Segment Input: A Modeling Study

James M. Bower, Erik De Schutter, Dieter Jaeger, 2002, Journal of Computational Neuroscience.

Next Steps in Data Publishing

David N. Kennedy, Giorgio A. Ascoli, Erik De Schutter, 2011, Neuroinformatics.

NeuroML for plug and play neuronal modeling

Marc-Oliver Gewaltig, Michael Hucka, Erik De Schutter, 2002, Neurocomputing.

Modeling Complex Neurons

Erik De Schutter, Werner Van Geit, E. Schutter, 2009 .

On the design of multi-site microelectrodes for neuronal recordings

Ken Yoshida, Erik De Schutter, Uwe Thomas, 2000 .

A look back

Erik De Schutter, E. Schutter, 2004, Neuroinformatics.

Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer

Daqing Guo, Mario Negrello, Ivan Raikov, 2017, PLoS Comput. Biol..

Why Are Computational Neuroscience and Systems Biology So Separate?

Erik De Schutter, 2008, PLoS Comput. Biol..

Complex Parameter Landscape for a Complex Neuron Model

Erik De Schutter, Pablo Achard, E. Schutter, 2006, PLoS Comput. Biol..

Virtual reality in computational neuroscience

Robert L. Grossman, Brian Rasnow, James M. Bower, 1995 .

Modeling biochemical networks: diffusion

Erik De Schutter, Guy Bormann, Fons Brosens, 2001 .

STEPS: efficient simulation of stochastic reaction–diffusion models in realistic morphologies

Erik De Schutter, Stefan Wils, Iain Hepburn, 2012, BMC Systems Biology.

Time to Bring Single Neuron Modeling into 3D

Erik De Schutter, Weiliang Chen, E. Schutter, 2017, Neuroinformatics.

On the Firing Rate Dependency of the Phase Response Curve of Rat Purkinje Neurons In Vitro

Michele Giugliano, Erik De Schutter, Daniele Linaro, 2015, PLoS Comput. Biol..

Ten Years of Neuroinformatics

David N. Kennedy, Giorgio A. Ascoli, Erik De Schutter, 2012, Neuroinformatics.

Computational Neuroscience: Trends in Research 2005

Erik De Schutter, 2005, Neurocomputing.

Faculty Opinions recommendation of Cellular dynamic simulator: an event driven molecular simulation environment for cellular physiology.

Erik De Schutter, E. Schutter, 2010 .

The Effect of NMDA Receptors on Gain Modulation

Erik De Schutter, Reinoud Maex, Michiel Berends, 2005, Neural Computation.

A Novel High Channel-Count System for Acute Multisite Neuronal Recordings

Winnie Jensen, Ken Yoshida, Erik De Schutter, 2006, IEEE Transactions on Biomedical Engineering.

Neuroscience data and tool sharing - A legal and policy framework for neuroinformatics

Ulla Ruotsalainen, Arthur W. Toga, Gary F. Egan, 2003, Neuroinformatics.

An information science infrastructure for neuroscience

David N. Kennedy, Giorgio A. Ascoli, Erik De Schutter, 2003, Neuroinformatics.

Farewell, Neuroinformatics!

Giorgio A. Ascoli, Erik De Schutter, David N. Kennedy, 2021, Neuroinformatics.

Stochastic Spatially-Extended Simulations Predict the Effect of ER Distribution on Astrocytic Microdomain Ca2+ Activity

Erik De Schutter, Hugues Berry, Audrey Denizot, 2021, NANOCOM.

Computational neuroscience: more math is needed to understand the human brain

Erik De Schutter, E. Schutter, 2001 .

Generating dendritic Ca 2+ spikes with different models of Ca 2+ buffering in cerebellar

Erik De Schutter, Sungho Hong, E. Schutter, 2010 .

Cerebellar Cortex: Computation by Extrasynaptic Inhibition?

Erik De Schutter, E. Schutter, 2002, Current Biology.

Alternative equations for the molluscan ion currents described by Connor and Stevens

Erik De Schutter, E. Schutter, 1986, Brain Research.

Using Realistic Models to Study Synaptic Integration in Cerebellar Purkinje Cells

Erik De Schutter, E. Schutter, 1999 .

Introduction to Equation Solving and Parameter Fitting

Erik De Schutter, E. Schutter, 2000 .

Ca2+ Requirements for Long-Term Depression Are Frequency Sensitive in Purkinje Cells.

Erik De Schutter, E. Schutter, C. G. Zamora Chimal, 2018 .

Modeling of neurons with active dendrites

Erik De Schutter, Volker Steuber, V. Steuber, 2001 .

Modeling Simple and Complex Active Neurons

Erik De Schutter, Volker Steuber, V. Steuber, 2000 .

Unraveling the cerebellar cortex: Cytology and cellular physiology of large-sized interneurons in the granular layer

Erik De Schutter, Stéphane Dieudonné, E. Schutter, 2008, The Cerebellum.

Parallel Fibers Synchronize Spontaneous Activity in Cerebellar Golgi Cells

Erik De Schutter, Reinoud Maex, R. Maex, 1999, The Journal of Neuroscience.

Modeling a Neural Oscillator that Paces Heartbeat in the Medicinal Leech

Erik De Schutter, Ronald L. Calabrese, Ted W. Simon, 1993 .

Modelling the cerebellar Purkinje cell: experiments in computo.

Erik De Schutter, E. Schutter, 1994 .

One cannot build theories of cerebellar function on shaky foundations: Induction properties of long-term depression have to be taken into account

Erik De Schutter, 1996 .

Robustness effect of gap junctions between Golgi cells on cerebellar cortex oscillations.

Erik De Schutter, E. Schutter, F. M. S. D. Souza, 2011 .

Dendritic Voltage and Calcium-Gated Channels Amplify the Variability of Postsynaptic Responses in a Purkinje Cell Model

Erik De Schutter, E. Schutter, 1998 .

REALISTIC MODELING FOR EXPERIMENTALISTS

Erik De Schutter, E. Schutter, 2001 .