Publications
2024
Z. Liu, E. De Schutter, Y. Li: GABA-induced seizure like events caused by multi-ionic interactive dynamics. eNeuro 11: 10.
G. Cirtala and E. De Schutter: Branch-specific clustered parallel fiber input controls dendritic computation in Purkinje cells. iScience 27: 9110756.
R.J. Nakatani and E. De Schutter: Active enhancement of synapse driven depolarization of perisynaptic astrocytic processes. Preprint.
J. Kwon, S. Kim, J. Woo, E. De Schutter, S. Hong and C.J. Lee: Cerebellar tonic inhibition orchestrates the maturation of information processing and motor coordination. Preprint.
I. Hepburn, J. Lallouette, W. Chen, A.R. Gallimore, S.Y. Nagasawa-Soeda and E. De Schutter: Vesicle and reaction-diffusion hybrid modeling with STEPS. Communications Biology 7: 573.
G. Cirtala and E. De Schutter: Branch-specific clustered parallel fiber input controls dendritic computation in Purkinje cells. Preprint published in IScience.
2023
S. Kim, J. Jeon, D. Ganbat, T. Kim, K. Shin, S. Hong and J. Hong: Alteration of Neural Network and Hippocampal Slice Activation through Exosomes Derived from 5XFAD Nasal Lavage Fluid. International Journal of Molecular Sciences 24: 14064.
J. Myung, S. Hong, C. Schmal, H. Vitel and M.-Y. Wu: Weak synchronization can alter circadian period length: Implications for aging and disease conditions. Frontiers in Neuroscience 17:1242800.
M.-Y. Kim, M. J. Kim, C. Lee, J. Lee, S.S. Kim, S. Hong, H.T. Kim, J. Seo, K.-J. Yoon and S. Han: Trametinib activates endogenous neurogenesis and recovers neuropathology in a model of Alzheimer’s disease. Experimental & Molecular Medicine 55: 2177–2189.
A.R. Gallimore, I. Hepburn, S. Rizzoli and E. De Schutter: Dynamic Regulation of Vesicle Pools in a Detailed Spatial Model of the Complete Synaptic Vesicle Cycle. Preprint.
Y. Zang and E. De Schutter: Recent data on the cerebellum require new models and theories. Current Opinion in Neurobiology 82:102765.
M. Kato and E. De Schutter: Models of Purkinje cell dendritic tree selection during early cerebellar development. PLoS Computational Biology 19: e1011320.
E. De Schutter: Efficient simulation of neural development using shared memory parallelization. Frontiers in Neuroinformatics 17:1212384.
I. Hepburn, J. Lallouette, W. Chen, A.R. Gallimore, S.Y. Nagasawa and E. De Schutter: Hybrid vesicle and reaction-diffusion modeling with STEPS. Preprint published in 2024 in Communications Biology.
A. Markanday*, S. Hong*, J. Inoue, E. De Schutter and P. Thier: Multidimensional cerebellar computations for flexible kinematic control of movements. Nature Communications 14: 2548.
2022
S. Verduzco-Flores and E. De Schutter: Self-configuring feedback loops for sensorimotor control. eLife: 77216.
A. Denizot, M. Arizono, V.U. Nägerl, H. Berry and E. De Schutter: Control of Ca2+ signals by astrocyte nanoscale morphology at tripartite synapses. Glia 70: 2378-2391.
W. Chen, I. Hepburn, A. Martyushev and E. De Schutter: Modeling Neurons in 3D at the Nanoscale. In: Giugliano, M., Negrello, M., Linaro, D. (eds) Computational Modelling of the Brain. Advances in Experimental Medicine and Biology 1359: 3-24. Springer, Cham.
W. Chen, T. Carel, O. Awile, N. Cantarutti, G. Castiglioni, A. Cattabiani, B. Del Marmol, I. Hepburn, J.G. King, C. Kotsalos, P. Kumbhar, J. Lallouette, S. Melchior, F Schürmann and E. De Schutter: STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale. Frontiers in Neuroinformatics 16: 883742.
A. Denizot, M.F. Veloz Castillo, P. Puchenkov, C. Calì and E. De Schutter: The endoplasmic reticulum in perisynaptic astrocytic processes: shape, distribution and effect on calcium activity. Preprint.
S. Verduzco-Flores, W. Dorrell and E. De Schutter: A differential Hebbian framework for biologically-plausible motor control. Neural Networks 150: 237–258.
A. Covelo , A. Badoual and A. Denizot: Reinforcing Interdisciplinary Collaborations To Unravel The Astrocyte "Calcium Code". Journal of Molecular Neuroscience 72: 1443–1455.
L. Medlock, K. Sekiguchi, S. Hong, S. Dura-Bernal, W. Lytton and S. Prescott: Multiscale computer model of the spinal dorsal horn reveals changes in network processing associated with chronic pain. Journal of Neuroscience 42: 3133-3149.
2021
G.A. Ascoli, D.N. Kennedy and E. De Schutter: Farewell, Neuroinformatics! Neuroinformatics 19: 551-552.
A. Denizot, C. Cali, H. Berry and E. De Schutter: Stochastic Spatially-Extended Simulations Predict the Effect of ER Distribution on Astrocytic Microdomain Ca2+ Activity. The Eight Annual ACM International Conference on Nanoscale Computing and Communication (NANOCOM ’21) doi.org/10.1145/3477206.3477456
Y. Zang and E. De Schutter: The Cellular Electrophysiological Properties Underlying Multiplexed Coding in Purkinje Cells. Journal of Neuroscience 41: 1850-1863.
S. Lindeman*, S. Hong*, L. Kros*, J.F. Meijas, V. Romano, R. Oostenveld, M. Negrello, L.W.J Bosman, and C.I. De Zeeuw: Cerebellar Purkinje cells can differentially modulate coherence between sensory and motor cortex depending on region and behavior. Proceedings of the National Academy of Sciences USA 118: e2015292118.
2020
E. De Schutter: Comment on “The growth of cognition: Free energy minimization and the embryogenesis of cortical computation". Physics of Life Reviews 36:1-2.
S. Verduzco-Flores, W. Dorrell and E. De Schutter: An approach to synaptic learning for autonomous motor control. Preprint published in 2022 in Neural Networks.
D. Han, E. De Schutter and S. Hong: Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks. Advances in Neural Information Processing Systems 33 (NeurIPS 2020) 1828.
Y. Zang, S. Hong and E. De Schutter: Firing rate-dependent phase responses of Purkinje cells support transient oscillations. eLife 9: 60692.
I. Wichert, S. Jee, E. De Schutter and S. Hong: Pycabnn: Efficient and extensible software to construct an anatomical basis for a physiologically realistic neural network model. Frontiers in Neuroinformatics 14: 31.
2019
Y. Zang and E. De Schutter: Climbing Fibers Provide Graded Error Signals in Cerebellar Learning. Frontiers in Systems Neuroscience 13: 46.
E. De Schutter: Fallacies of Mice Experiments. Neuroinformatics 17: 181-183.
N. Vrieler, S. Loyola, Y. Yarden-Rabinowitz, J. Hoogendorp, N. Medvedev, T.M. Hoogland, C.I. De Zeeuw, E. De Schutter, Y. Yarom, M. Negrello, B. Torben-Nielsen, and M.Y. Uusisaari: Variability and directionality of inferior olive neuron dendrites revealed by detailed 3D characterization of an extensive morphological library. Brain Structure and Function 224: 1677–1695.
S.O. Verduzco Flores and E. De Schutter: Draculab: A Python simulator for firing rate neural networks with delayed adaptive connections. Frontiers in Neuroinformatics 13:18.
2018
C.G. Zamora Chimal and E. De Schutter: Ca2+ requirements for Long-Term Depression are frequency sensitive in Purkinje Cells. Frontiers in Molecular Neuroscience 11: 438.
Y. Zang, S. Dieudonné and E. De Schutter: Voltage- and Branch-specific Climbing Fiber Responses in Purkinje Cells. Cell Reports 24: 1536–1549.
J. Myung*, C. Schmal*, S. Hong*, Y. Tsukizawa, P. Rose, Y. Zhang, M. Holtzman, E. De Schutter, H. Herzel, G. Bordyugov and T. Takumi: The Choroid Plexus is an Important Circadian Clock Component. Nature Communications 9: 1062.
A.R. Gallimore, T. Kim, K. Tanaka-Yamamoto and E. De Schutter: Switching on depression and potentiation in the cerebellum. Cell Reports 22: 722-733.
E. De Schutter: Deep learning and computational neuroscience. Neuroinformatics 16: 1-2.
S. Nanda, H. Chen, R. Das, S. Bhattacharjee, H. Cuntz, B. Torben-Nielsen, H. Peng, D. Cox, E. De Schutter, and G. Ascoli: Design and implementation of multi-signal and time-varying neural reconstructions. Scientific Data 5:170207.
2017
J. Myung and S.D. Pauls: Encoding seasonal information in a two-oscillator model of the multi-oscillator circadian clock. European Journal of Neuroscience 48: 2718-2727 (2018).
S.K. Sudhakar*, S. Hong*, I. Raikov, R. Publio, C. Lang, T. Close, D. Guo, M. Negrello and E. De Schutter: Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer. PLoS Computational Biology 13: e1005754.
C. Schmal, J. Myung, H. Herzel and G. Bordyugov: Moran’s I quantifies spatio-temporal pattern formation in neural imaging data. Bioinformatics 33:3072-3079.
W. Chen and E. De Schutter: Parallel STEPS: Large Scale Stochastic Spatial Reaction-Diffusion Simulation with High Performance Computers. Frontiers in Neuroinformatics 11: 13.
I. Hepburn, A. Jain, H. Gangal, Y. Yamamoto, K. Tanaka-Yamamoto and E. De Schutter: A model of induction of cerebellar Long-Term Depression including RKIP inactivation of Raf and MEK. Frontiers in Molecular Neuroscience 10: 19.
W. Chen and E. De Schutter: Time to bring single neuron modeling into 3D. Neuroinformatics 15: 1-3.
2016
E. De Schutter: Neuroinformatics for degenerate brains. Neuroinformatics 14: 1-3.
2015
E. De Schutter: The Missing Piece of the Puzzle: Neuroinformatics at the Bench. Neuroinformatics 13: 131-132.
2014
B. Torben-Nielsen and E. De Schutter: Context-aware modeling of neuronal morphologies. Frontiers in Neuroanatomy 8: 92.
E. De Schutter: The dangers of plug-and-play simulation using shared models. Neuroinformatics 12: 227-228.
2013
K. Veys, D. J. Snyders and E. De Schutter: Kv3.3b expression defines the shape of the complex spike in the Purkinje cell. Frontiers in Cellular Neuroscience 7: 205.
C. Simon, W. Chen, I. Hepburn and E. De Schutter: The role of dendritic spine morphology in the compartmentalization and delivery of surface receptors. Journal of Computational Neuroscience 36: 483-497.
I. Hepburn, R. Cannon and E. De Schutter: Efficient calculation of the quasi-static electrical potential on a tetrahedral mesh and its implementation in STEPS. Frontiers in Computational Neuroscience 7: 129.
H. Anwar*, I. Hepburn*, H. Nedelescu, W. Chen and E. De Schutter: Stochastic calcium mechanisms cause dendritic calcium spike variability. Journal of Neuroscience 33: 15848-15867.
S. Ratté, S. Hong, E. De Schutter and S.A. Prescott: Impact of neuronal properties on network coding: Roles of spike initiation dynamics and robust synchrony transfer. Neuron 78: 758-772.
S. Huang and M.Y. Uusisaari: Physiological temperature during brain slicing enhances the quality of acute slice preparations. Frontiers in Cellular Neuroscience 7: 48.
E. De Schutter: Collaborative modeling in neuroscience: time to go open model? Neuroinformatics 11: 135-136.
E. De Schutter: The importance of stochastic signaling processes in the induction of long-term synaptic plasticity. Neural Networks 47: 3-10.
M.R. Diaz, A. Wadleigh, S. Kumar, E. De Schutter and C.F. Valenzuela: Na+/K+-ATPase inhibition partially mimics the ethanol-induced increase of the Golgi cell-dependent component of the tonic GABAergic current in rat cerebellar granule cells. PLoS One 8:e55673.
2012
2011
2010
2009
2008
2007
Note: this page lists only the Unit's publications in international journals, conference proceedings and books. We do not list abstracts or PhD theses. A complete list of Erik De Schutter's publications can be found at Orcid.
* these authors contributed equally to this work