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PyNN: A Common Interface for Neuronal Network Simulators
Computational neuroscience has produced a diversity of software for simulations of networks of spiking neurons, with both negative and positive consequences. On the one hand, each simulator uses itsExpand
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An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images
A critical issue in image restoration is the problem of noise removal while keeping the integrity of relevant image information. Denoising is a crucial step to increase image quality and to improveExpand
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Fast Non Local Means Denoising for 3D MR Images
One critical issue in the context of image restoration is the problem of noise removal while keeping the integrity of relevant image information. Denoising is a crucial step to increase imageExpand
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A spike sorting toolbox for up to thousands of electrodes validated with ground truth recordings in vitro and in vivo
In recent years, multielectrode arrays and large silicon probes have been developed to record simultaneously between hundreds and thousands of electrodes packed with a high density. However, theyExpand
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Population Rate Dynamics and Multineuron Firing Patterns in Sensory Cortex
Cortical circuits encode sensory stimuli through the firing of neuronal ensembles, and also produce spontaneous population patterns in the absence of sensory drive. This population activity is oftenExpand
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An Optimized Blockwise Non Local Means Denoising Filter for 3D Magnetic Resonance Images
A critical issue in image restoration is the problem of noise removal while keeping the integrity of relevant image information. Denoising is a crucial step to increase image quality and to improveExpand
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Neo: an object model for handling electrophysiology data in multiple formats
Neuroscientists use many different software tools to acquire, analyze and visualize electrophysiological signals. However, incompatible data models and file formats make it difficult to exchange dataExpand
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Topologically invariant macroscopic statistics in balanced networks of conductance-based integrate-and-fire neurons
The relationship between the dynamics of neural networks and their patterns of connectivity is far from clear, despite its importance for understanding functional properties. Here, we have studiedExpand
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Models of Metaplasticity: A Review of Concepts
  • P. Yger, M. Gilson
  • Computer Science, Medicine
  • Front. Comput. Neurosci.
  • 10 November 2015
Part of hippocampal and cortical plasticity is characterized by synaptic modifications that depend on the joint activity of the pre- and post-synaptic neurons. To which extent those changes areExpand
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Network-State Modulation of Power-Law Frequency-Scaling in Visual Cortical Neurons
Various types of neural-based signals, such as EEG, local field potentials and intracellular synaptic potentials, integrate multiple sources of activity distributed across large assemblies. They haveExpand
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