Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks | 0 | 0.34 | 2020 |
Draculab: A Python Simulator for Firing Rate Neural Networks With Delayed Adaptive Connections. | 0 | 0.34 | 2019 |
Fallacies of Mice Experiments. | 0 | 0.34 | 2019 |
Deep Learning and Computational Neuroscience. | 1 | 0.35 | 2018 |
Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer. | 1 | 0.35 | 2017 |
Time to Bring Single Neuron Modeling into 3D. | 2 | 0.38 | 2017 |
Parallel STEPS: Large Scale Stochastic Spatial Reaction-Diffusion Simulation with High Performance Computers. | 0 | 0.34 | 2017 |
Neuroinformatics for Degenerate Brains. | 0 | 0.34 | 2016 |
On the firing rate dependency of the phase response curve of rat Purkinje neurons in vitro. | 2 | 0.36 | 2015 |
Cerebellar Nuclear Neurons Use Time and Rate Coding to Transmit Purkinje Neuron Pauses. | 0 | 0.34 | 2015 |
Python-based geometry preparation and simulation visualization toolkits for STEPS. | 2 | 0.37 | 2014 |
The role of dendritic spine morphology in the compartmentalization and delivery of surface receptors | 0 | 0.34 | 2014 |
The Dangers of Plug-and-Play Simulation Using Shared Models. | 4 | 0.43 | 2014 |
Efficient calculation of the quasi-static electrical potential on a tetrahedral mesh and its implementation in STEPS. | 3 | 0.42 | 2013 |
Collaborative Modeling in Neuroscience: Time to Go Open Model? | 2 | 0.41 | 2013 |
The importance of stochastic signaling processes in the induction of long-term synaptic plasticity. | 2 | 0.44 | 2013 |
The promise and shortcomings of XML as an interchange format for computational models of biology. | 3 | 0.40 | 2012 |
The layer-oriented approach to declarative languages for biological modeling. | 4 | 0.48 | 2012 |
Geometric theory predicts bifurcations in minimal wiring cost trees in biology are flat. | 1 | 0.36 | 2012 |
STEPS: efficient simulation of stochastic reaction–diffusion models in realistic morphologies | 29 | 1.29 | 2012 |
Ten Years of Neuroinformatics. | 0 | 0.34 | 2012 |
Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells. | 4 | 0.89 | 2011 |
Next Steps in Data Publishing. | 3 | 0.59 | 2011 |
Data Publishing and Scientific Journals: The Future of the Scientific Paper in a World of Shared Data. | 3 | 0.45 | 2010 |
Review of Papers Describing Neuroinformatics Software. | 2 | 0.50 | 2009 |
STEPS: Modeling and Simulating Complex Reaction-Diffusion Systems with Python. | 10 | 0.76 | 2009 |
Calcium, synaptic plasticity and intrinsic homeostasis in Purkinje neuron models. | 7 | 0.48 | 2008 |
Why Are Computational Neuroscience And Systems Biology So Separate? | 25 | 1.42 | 2008 |
Reviewing Multi-Disciplinary Papers: a Challenge in Neuroscience? | 7 | 0.63 | 2008 |
A second look back | 0 | 0.34 | 2007 |
Neurospaces: Towards automated model partitioning for parallel computers | 0 | 0.34 | 2007 |
Interoperability of Neuroscience Modeling Software: Current Status and Future Directions | 31 | 2.92 | 2007 |
Neuroscience Leading the Way: Reviews Cascade by the INCF. | 1 | 0.36 | 2007 |
A Novel High Channel-Count System for Acute Multisite Neuronal Recordings. | 2 | 0.66 | 2006 |
Complex Parameter Landscape For A Complex Neuron Model | 61 | 7.28 | 2006 |
On the future of the human brain project. | 5 | 1.36 | 2006 |
The effect of NMDA receptors on gain modulation. | 1 | 0.36 | 2005 |
Computational Neuroscience: Trends in research 2004 | 0 | 0.34 | 2005 |
Passive models of neurons in the deep cerebellar nuclei: the effect of reconstruction errors | 7 | 0.78 | 2004 |
Neurospaces parameter handling. | 1 | 0.37 | 2004 |
A detailed three-dimensional model of the cerebellar granular layer | 1 | 0.44 | 2004 |
NeuroSpaces: separating modeling and simulation | 0 | 0.34 | 2003 |
Novelty detection in a Kohonen like network with a Long Term Depression learning rule | 7 | 0.85 | 2003 |
Involvement of multiple functionally distinct cerebellar regions in visual discrimination: a human functional imaging study | 2 | 0.58 | 2003 |
An information science infrastructure for neuroscience | 4 | 0.62 | 2003 |
Synchronization of Purkinje cell pairs along the parallel fiber axis: a model | 5 | 0.54 | 2003 |
NeuroML for plug and play neuronal modeling | 2 | 0.88 | 2002 |
Rank order decoding of temporal parallel fibre input patterns in a complex Purkinje cell model | 2 | 0.38 | 2002 |
Modulatory effects of parallel fiber and molecular layer interneuron synaptic activity on purkinje cell responses to ascending segment input: a modeling study. | 4 | 0.73 | 2002 |
Synchronization between patches of local excitation in a cerebellar granular layer model | 0 | 0.34 | 2001 |