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PyMVPA

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  Analyzed 1 day ago

Python module to ease pattern classification analyses of large datasets. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge ... [More] Regressions, Sparse Multinomial Logistic Regression, GPR. RFE, I-RELIEF), and bindings to external ML libraries (libsvm, shogun, R). While it is not limited to neuroimaging data (e.g. FMRI) it is eminently suited for such datasets. [Less]

139K lines of code

0 current contributors

over 1 year since last commit

8 users on Open Hub

Very Low Activity
5.0
 
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nipy

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  Analyzed 6 minutes ago

The purpose of NIPY is to make it easier to do better brain imaging research. We believe that neuroscience ideas and analysis ideas develop together. Good ideas come from understanding; understanding comes from clarity, and clarity must come from well-designed teaching materials and well-designed ... [More] software. The software must be designed as a natural extension of the underlying ideas. We aim to build software that is: * clearly written * clearly explained * a good fit for the underlying ideas * a natural home for collaboration [Less]

69.2K lines of code

4 current contributors

about 1 month since last commit

8 users on Open Hub

Low Activity
5.0
 
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libnix

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Claimed by German Neuroinformatics Node Analyzed 21 minutes ago

NIX: Neuroscience information exchange format The NIX project (previously called Pandora) started as an initiative of the Electrophysiology Task Force which is part of the INCF Datasharing Program. As such the project aims to develop standardized methods and models for storing electrophysiology ... [More] and other neuroscience data together with their metadata in one common file format based on HDF5. [Less]

25K lines of code

7 current contributors

1 day since last commit

2 users on Open Hub

Moderate Activity
5.0
 
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BRIAN simulator

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  Analyzed 1 day ago

Brian is a simulator for spiking neural networks available on almost all platforms. The motivation for this project is that a simulator should not only save the time of processors, but also the time of scientists. Brian is easy to learn and use, highly flexible and easily extensible. The Brian ... [More] package itself and simulations using it are all written in the Python programming language, which is an easy, concise and highly developed language with many advanced features and development tools, excellent documentation and a large community of users providing support and extension packages. [Less]

109K lines of code

0 current contributors

over 1 year since last commit

2 users on Open Hub

Very Low Activity
0.0
 
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nengo

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  Analyzed about 23 hours ago

Nengo is a suite for building and simulating models of large neural networks. It is based on Eliasmith & Anderson's Neural Engineering Framework, which provides a coherent theory of computation, representation, and dynamics in neural circuits.

19.8K lines of code

12 current contributors

7 days since last commit

2 users on Open Hub

Moderate Activity
0.0
 
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PyNIfTI

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  Analyzed about 14 hours ago

PyNIfTI aims to provide easy access to NIfTI images from within Python. It uses SWIG-generated wrappers for the NIfTI reference library and provides the NiftiImage class for Python-style access to the image data. While PyNIfTI is not yet complete (i.e. doesn't support everything the C library can ... [More] do), it already provides access to the most important features of the NIfTI-1 data format and libniftiio capabilities. [Less]

97K lines of code

0 current contributors

about 3 years since last commit

2 users on Open Hub

Inactive
5.0
 
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neurorighter

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  Analyzed over 1 year ago

NeuroRighter is an open-source system for multi-electrode closed-loop recording and stimulation. The software is free, and the hardware schematics and layouts are free for download. It's partially described in the Rolston et al. (http://www.frontiersin.org/neuroengineering/paper/10.3389/neuro.16/012.2009/).

106K lines of code

0 current contributors

over 3 years since last commit

2 users on Open Hub

Activity Not Available
5.0
 
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PyNN API

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  Analyzed about 18 hours ago

PyNN (pronounced 'pine' ) is a is a simulator-independent language for building neuronal network models. In other words, you can write the code for a model once, using the PyNN API and the Python programming language, and then run it without modification on any simulator that PyNN supports ... [More] (currently NEURON, NEST, PCSIM and Brian). [Less]

29.5K lines of code

4 current contributors

about 1 month since last commit

2 users on Open Hub

Moderate Activity
0.0
 
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Licenses: No declared licenses

neuronvisio

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  Analyzed 1 day ago

A Graphical User Interface with 3D Visualization features for NEURON simulation enviroment

61.9K lines of code

2 current contributors

7 months since last commit

1 users on Open Hub

Very Low Activity
5.0
 
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expyriment

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  Analyzed about 1 year ago

Expyriment is an open-source Python library for designing and conducting timing-critical behavioural and neuroimaging experiments. Our major goal is to provide a lightweight and well-structured Python library for the script-based experiment development. Readability and portability of the ... [More] resulting programme code are of highest priority. The library is an all-in-one solution as it handles stimulus presentation, the recording of input/output events, communication with other devices, and the collection and preprocessing of data. It further offers a hierarchical design structure, which allows for an intuitive transition from the experimental design to a running programme and is therefore also well suited for students and researchers with little programming experience. [Less]

16K lines of code

3 current contributors

over 1 year since last commit

1 users on Open Hub

Activity Not Available
5.0
 
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