Towards reproducible descriptions of neuronal network models. - Wikidata - awgldk - TriplyDB

Towards reproducible descriptions of neuronal network models.

Towards reproducible descriptions of neuronal network models.

http://www.wikidata.org/entity/Q21092562

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PyNEST: A Convenient Interface to the NEST Simulator A reafferent and feed-forward model of song syntax generation in the Bengalese finch Deconstructing multisensory enhancement in detection.Structure of receptive fields in a computational model of area 3b of primary sensory cortex.Coupled noisy spiking neurons as velocity-controlled oscillators in a model of grid cell spatial firing.ANNarchy: a code generation approach to neural simulations on parallel hardware.Spike-based reinforcement learning in continuous state and action space: when policy gradient methods fail The connection-set algebra--a novel formalism for the representation of connectivity structure in neuronal network models.Enabling functional neural circuit simulations with distributed computing of neuromodulated plasticity.Visualizing neuronal network connectivity with connectivity pattern tables.Open source tools for the information theoretic analysis of neural data Context-dependent encoding of fear and extinction memories in a large-scale network model of the basal amygdala An imperfect dopaminergic error signal can drive temporal-difference learning.Noise in attractor networks in the brain produced by graded firing rate representations Non-additive coupling enables propagation of synchronous spiking activity in purely random networks.A circuit-level model of hippocampal place field dynamics modulated by entorhinal grid and suppression-generating cells The spatial structure of stimuli shapes the timescale of correlations in population spiking activity.Frequency dependence of signal power and spatial reach of the local field potential.Equation-oriented specification of neural models for simulations.Layer-Dependent Attentional Processing by Top-down Signals in a Visual Cortical Microcircuit Model Sensory integration dynamics in a hierarchical network explains choice probabilities in cortical area MT A long journey into reproducible computational neuroscience.Efficient generation of connectivity in neuronal networks from simulator-independent descriptions.Excitatory, inhibitory, and structural plasticity produce correlated connectivity in random networks trained to solve paired-stimulus tasks Dynamic afferent synapses to decision-making networks improve performance in tasks requiring stimulus associations and discriminations.Dysfunctions of the basal ganglia-cerebellar-thalamo-cortical system produce motor tics in Tourette syndrome.Stimulus number, duration and intensity encoding in randomly connected attractor networks with synaptic depression.Limits to the development of feed-forward structures in large recurrent neuronal networks.Striatal Neuropeptides Enhance Selection and Rejection of Sequential Actions.Modeling signal transduction leading to synaptic plasticity: evaluation and comparison of five models.SpineCreator: a Graphical User Interface for the Creation of Layered Neural Models.From model specification to simulation of biologically constrained networks of spiking neurons.Reproducibility in Computational Neuroscience Models and Simulations.morphforge: a toolbox for simulating small networks of biologically detailed neurons in Python.An automated and reproducible workflow for running and analyzing neural simulations using Lancet and IPython Notebook.A neuroinformatics of brain modeling and its implementation in the Brain Operation Database BODB.Synaptic and nonsynaptic plasticity approximating probabilistic inference.Reproducibility and Comparability of Computational Models for Astrocyte Calcium Excitability.Multitarget Multiscale Simulation for Pharmacological Treatment of Dystonia in Motor Cortex.Large-Scale Simulations of Plastic Neural Networks on Neuromorphic Hardware.

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P2860

Towards reproducible descriptions of neuronal network models.

http://www.wikidata.org/entity/Q21092562

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2009 nî lūn-bûn

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2009 թուականի Օգոստոսին հրատարակուած գիտական յօդուած

@hyw

2009 թվականի օգոստոսին հրատարակված գիտական հոդված

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2009年の論文

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2009年論文

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2009年論文

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2009年論文

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2009年論文

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2009年論文

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2009年论文

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name

Towards reproducible descriptions of neuronal network models

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Towards reproducible descriptions of neuronal network models.

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Towards reproducible descriptions of neuronal network models.

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Towards reproducible descriptions of neuronal network models.

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Towards reproducible descriptions of neuronal network models

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Towards reproducible descriptions of neuronal network models.

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Towards reproducible descriptions of neuronal network models

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Towards reproducible descriptions of neuronal network models.

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Towards reproducible descriptions of neuronal network models.

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Towards reproducible descriptions of neuronal network models.

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PLOS Computational Biology

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Towards reproducible descriptions of neuronal network models.

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Eilen Nordlie

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Hans Ekkehard Plesser

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P2860

Towards NeuroML: model description methods for collaborative modelling in neuroscience.

The neuroscience information framework: a data and knowledge environment for neuroscience

A calculus of purpose

BioModels Database: a free, centralized database of curated, published, quantitative kinetic models of biochemical and cellular systems.

Minimum information requested in the annotation of biochemical models (MIRIAM)

Domain-specific data sharing in neuroscience: what do we have to learn from each other?

Why are computational neuroscience and systems biology so separate?

Simulation as experiment: a philosophical reassessment for biological modeling.

Large-scale model of mammalian thalamocortical systems.

Simulation of networks of spiking neurons: a review of tools and strategies.

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