Published in Front Neuroinform on January 27, 2009
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PyNEST: A Convenient Interface to the NEST Simulator. Front Neuroinform (2009) 2.59
NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail. PLoS Comput Biol (2010) 2.45
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Population rate dynamics and multineuron firing patterns in sensory cortex. J Neurosci (2012) 1.13
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Integrated workflows for spiking neuronal network simulations. Front Neuroinform (2013) 1.01
Robustness of spiking Deep Belief Networks to noise and reduced bit precision of neuro-inspired hardware platforms. Front Neurosci (2015) 1.00
Spiking network simulation code for petascale computers. Front Neuroinform (2014) 1.00
A framework for plasticity implementation on the SpiNNaker neural architecture. Front Neurosci (2015) 0.98
Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system. Front Neuroinform (2009) 0.96
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Python as a federation tool for GENESIS 3.0. PLoS One (2012) 0.94
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An efficient simulation environment for modeling large-scale cortical processing. Front Neuroinform (2011) 0.92
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From model specification to simulation of biologically constrained networks of spiking neurons. Neuroinformatics (2014) 0.91
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LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2. Front Neuroinform (2014) 0.86
Visualizing neuronal network connectivity with connectivity pattern tables. Front Neuroinform (2010) 0.86
Deep Artificial Neural Networks and Neuromorphic Chips for Big Data Analysis: Pharmaceutical and Bioinformatics Applications. Int J Mol Sci (2016) 0.86
Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations. PLoS Comput Biol (2015) 0.85
The layer-oriented approach to declarative languages for biological modeling. PLoS Comput Biol (2012) 0.85
Neural ensemble communities: open-source approaches to hardware for large-scale electrophysiology. Curr Opin Neurobiol (2014) 0.85
NeuroManager: a workflow analysis based simulation management engine for computational neuroscience. Front Neuroinform (2015) 0.84
Characterization and compensation of network-level anomalies in mixed-signal neuromorphic modeling platforms. PLoS One (2014) 0.84
Anisotropic connectivity implements motion-based prediction in a spiking neural network. Front Comput Neurosci (2013) 0.83
Breaking the millisecond barrier on SpiNNaker: implementing asynchronous event-based plastic models with microsecond resolution. Front Neurosci (2015) 0.83
NEVESIM: event-driven neural simulation framework with a Python interface. Front Neuroinform (2014) 0.83
Reward-based learning under hardware constraints-using a RISC processor embedded in a neuromorphic substrate. Front Neurosci (2013) 0.83
A federated design for a neurobiological simulation engine: the CBI federated software architecture. PLoS One (2012) 0.82
BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience. Front Neuroinform (2016) 0.82
The Convallis rule for unsupervised learning in cortical networks. PLoS Comput Biol (2013) 0.82
ANNarchy: a code generation approach to neural simulations on parallel hardware. Front Neuroinform (2015) 0.81
Real-time million-synapse simulation of rat barrel cortex. Front Neurosci (2014) 0.81
Response-dependent dynamics of cell-specific inhibition in cortical networks in vivo. Nat Commun (2014) 0.81
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N2A: a computational tool for modeling from neurons to algorithms. Front Neural Circuits (2014) 0.81
ModelView for ModelDB: Online Presentation of Model Structure. Neuroinformatics (2015) 0.80
Neuronvisio: A Graphical User Interface with 3D Capabilities for NEURON. Front Neuroinform (2012) 0.80
PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems. Front Neuroinform (2014) 0.79
morphforge: a toolbox for simulating small networks of biologically detailed neurons in Python. Front Neuroinform (2014) 0.79
SpineCreator: a Graphical User Interface for the Creation of Layered Neural Models. Neuroinformatics (2017) 0.79
Efficient generation of connectivity in neuronal networks from simulator-independent descriptions. Front Neuroinform (2014) 0.79
NeuroFlow: A General Purpose Spiking Neural Network Simulation Platform using Customizable Processors. Front Neurosci (2016) 0.79
Neurokernel: An Open Source Platform for Emulating the Fruit Fly Brain. PLoS One (2016) 0.79
Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic Plasticity. Front Comput Neurosci (2010) 0.78
Reproducibility in Computational Neuroscience Models and Simulations. IEEE Trans Biomed Eng (2016) 0.78
Engineering a thalamo-cortico-thalamic circuit on SpiNNaker: a preliminary study toward modeling sleep and wakefulness. Front Neural Circuits (2014) 0.78
Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform. Front Neurorobot (2017) 0.78
Benchmarking Spike-Based Visual Recognition: A Dataset and Evaluation. Front Neurosci (2016) 0.77
Comparing Neuromorphic Solutions in Action: Implementing a Bio-Inspired Solution to a Benchmark Classification Task on Three Parallel-Computing Platforms. Front Neurosci (2016) 0.77
Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue. Front Cell Neurosci (2016) 0.77
libNeuroML and PyLEMS: using Python to combine procedural and declarative modeling approaches in computational neuroscience. Front Neuroinform (2014) 0.77
Impact of sub and supra-threshold adaptation currents in networks of spiking neurons. J Comput Neurosci (2015) 0.77
A flexible, interactive software tool for fitting the parameters of neuronal models. Front Neuroinform (2014) 0.76
Handling Metadata in a Neurophysiology Laboratory. Front Neuroinform (2016) 0.76
Simulation Neurotechnologies for Advancing Brain Research: Parallelizing Large Networks in NEURON. Neural Comput (2016) 0.76
Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons. Front Comput Neurosci (2015) 0.76
Python-based geometry preparation and simulation visualization toolkits for STEPS. Front Neuroinform (2014) 0.76
Supervised learning with decision margins in pools of spiking neurons. J Comput Neurosci (2014) 0.75
The hippocampus, medial prefrontal cortex, and selective memory retrieval: evidence from a rodent model of the retrieval-induced forgetting effect. Hippocampus (2014) 0.75
pypet: A Python Toolkit for Data Management of Parameter Explorations. Front Neuroinform (2016) 0.75
Neural system prediction and identification challenge. Front Neuroinform (2013) 0.75
Retracted Benchmarking neuromorphic systems with Nengo. Front Neurosci (2015) 0.75
Neural Schematics as a unified formal graphical representation of large-scale Neural Network Structures. Front Neuroinform (2013) 0.75
Push-Pull Receptive Field Organization and Synaptic Depression: Mechanisms for Reliably Encoding Naturalistic Stimuli in V1. Front Neural Circuits (2016) 0.75
PyRhO: A Multiscale Optogenetics Simulation Platform. Front Neuroinform (2016) 0.75
Empirical Bayesian significance measure of neuronal spike response. BMC Neurosci (2016) 0.75
Integrating Visualizations into Modeling NEST Simulations. Front Neuroinform (2015) 0.75
Connection-type-specific biases make uniform random network models consistent with cortical recordings. J Neurophysiol (2014) 0.75
Building the Ferretome. Front Neuroinform (2016) 0.75
Software for Brain Network Simulations: A Comparative Study. Front Neuroinform (2017) 0.75
Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator. Front Neuroinform (2017) 0.75
Proprioceptive Feedback through a Neuromorphic Muscle Spindle Model. Front Neurosci (2017) 0.75
Constructing Neuronal Network Models in Massively Parallel Environments. Front Neuroinform (2017) 0.75
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Brian: a simulator for spiking neural networks in python. Front Neuroinform (2008) 3.68
Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. J Neurophysiol (2005) 3.64
Signal propagation and logic gating in networks of integrate-and-fire neurons. J Neurosci (2005) 3.57
Advancing the boundaries of high-connectivity network simulation with distributed computing. Neural Comput (2005) 3.48
NEURON and Python. Front Neuroinform (2009) 2.64
PyNEST: A Convenient Interface to the NEST Simulator. Front Neuroinform (2009) 2.59
neuroConstruct: a tool for modeling networks of neurons in 3D space. Neuron (2007) 2.58
Interoperability of neuroscience modeling software: current status and future directions. Neuroinformatics (2007) 2.54
PyMOOSE: Interoperable Scripting in Python for MOOSE. Front Neuroinform (2008) 1.80
Simulation of networks of spiking neurons: a review of tools and strategies. J Comput Neurosci (2007) 4.29
NEURON and Python. Front Neuroinform (2009) 2.64
PyNEST: A Convenient Interface to the NEST Simulator. Front Neuroinform (2009) 2.59
Interoperability of neuroscience modeling software: current status and future directions. Neuroinformatics (2007) 2.54
A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback. PLoS Comput Biol (2008) 1.49
Perceptions as hypotheses: saccades as experiments. Front Psychol (2012) 1.42
Fast non local means denoising for 3D MR images. Med Image Comput Comput Assist Interv (2006) 1.33
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems. Biol Cybern (2011) 1.20
Population rate dynamics and multineuron firing patterns in sensory cortex. J Neurosci (2012) 1.13
Network-state modulation of power-law frequency-scaling in visual cortical neurons. PLoS Comput Biol (2009) 1.11
Six networks on a universal neuromorphic computing substrate. Front Neurosci (2013) 1.03
Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system. Front Neuroinform (2009) 0.96
Trends in programming languages for neuroscience simulations. Front Neurosci (2009) 0.95
Creating, documenting and sharing network models. Network (2012) 0.93
Reliable recall of spontaneous activity patterns in cortical networks. J Neurosci (2009) 0.92
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Cellular adaptation facilitates sparse and reliable coding in sensory pathways. PLoS Comput Biol (2013) 0.78
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Saccadic foveation of a moving visual target in the rhesus monkey. J Neurophysiol (2010) 0.77
Supervised learning with decision margins in pools of spiking neurons. J Comput Neurosci (2014) 0.75
Cross-orientation suppression and the topography of orientation preferences. J Vis (2015) 0.75
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