Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Projects: pypi: NeuroTools

https://packages.ecosyste.ms/registries/pypi.org/packages/NeuroTools

NeuroTools is a collection of tools to support all tasks associated with the analysis of neural activity - from neurophysiology to neural simulations.
4 versions
Latest release: almost 9 years ago
293 downloads last month

Papers Mentioning NeuroTools 10

10.3389/fninf.2019.00057
Comparing Open-Source Toolboxes for Processing and Analysis of Spike and Local Field Potentials Data
Cited by: 14
Author(s): Valentina A. Unakafova, Alexander Gail
Software Mentions: 23
Published: about 5 years ago
10.3389/fninf.2018.00092
Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0
Cited by: 96
Author(s): Espen Hagen, Solveig Næss, Torbjørn V. Ness, Gaute T. Einevoll
Software Mentions: 12
Published: almost 6 years ago
10.3389/fninf.2019.00018
Draculab: A Python Simulator for Firing Rate Neural Networks With Delayed Adaptive Connections
Cited by: 3
Author(s): Sergio Verduzco-Flores, Erik De Schutter
Software Mentions: 10
Published: over 5 years ago
10.3389/fninf.2013.00026
Spyke Viewer: a flexible and extensible platform for electrophysiological data analysis
Cited by: 15
Author(s): Robert Pröpper, Klaus Obermayer
Software Mentions: 9
Published: over 11 years ago
10.1371/journal.pone.0066811
Integration of Biochemical and Electrical Signaling-Multiscale Model of the Medium Spiny Neuron of the Striatum
Cited by: 25
Author(s): Michele Mattioni, Nicolas Le Novère
Software Mentions: 7
Published: about 11 years ago
10.3389/fninf.2013.00044
An automated and reproducible workflow for running and analyzing neural simulations using Lancet and IPython Notebook
Cited by: 19
Author(s): Jean-Luc Stevens, Marco Elver, James A. Bednar
Software Mentions: 6
Published: over 11 years ago
10.1371/journal.pcbi.1006027
Neuronal gain modulability is determined by dendritic morphology: A computational optogenetic study
Cited by: 19
Author(s): Sarah Jarvis, Konstantin Nikolić, Simon R. Schultz
Software Mentions: 3
Published: over 6 years ago
10.3389/fninf.2014.00017
Analyzing large-scale spiking neural data with HRLAnalysisâ„¢
Cited by: 3
Author(s): Corey M. Thibeault, Michael J. O’Brien, Narayan Srinivasa
Software Mentions: 3
Published: over 10 years ago
10.1007/s10827-018-0693-9
Firing-rate models for neurons with a broad repertoire of spiking behaviors
Cited by: 11
Author(s): Thomas Heiberg, Birgit Kriener, Tom Tetzlaff, Gaute T. Einevoll, Hans Ekkehard Pleßer
Software Mentions: 2
Published: about 6 years ago
10.3389/fncir.2016.00037
Push-Pull Receptive Field Organization and Synaptic Depression: Mechanisms for Reliably Encoding Naturalistic Stimuli in V1
Cited by: 34
Author(s): Jens Kremkow, Laurent Perrinet, Cyril Monier, José-Mañuel Alonso, Ad Aertsen, Yves Frégnac, Guillaume S. Masson
Software Mentions: 2
Published: over 8 years ago