JASP - Open-source project for Data Analysis resulting in Fast Conclusions with Minimal Work

JASP is an open-source project supported by the University of Amsterdam with an intuitive interface offering standard data analysis in classical or bayesian form.

JASP was designed with the user in mind: APA-formatted tables can be copy-pasted in your word processor, output can be extensively annotated, adjustment of input options dynamically changes the output, and selecting old output revives the associated input choices for inspection and adjustment.

JASP is open-source and free of charge, and we provide it as a service to the community. JASP is also statistically inclusive, as it offers both frequentist and Bayesian analysis methods. Indeed, the primary motivation for JASP is to make it easier for statistical practitioners to conduct Bayesian analyses.

Feature List:

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OpenVibe - One of the Best BCI Software

OpenViBE is a free software platform dedicated to design, process and classify EEG data to be used in brain-computer interfaces. The package includes some tools to create and run custom applications (drag & drop), it is compatible with many EEG devices and demo programs are ready for use. Programming in Python is also possible.

OpenVibe is, in my opinion, one of the best software platform in BCIs so, if you want to learn how to use it, the tutorial from MENSIA enterprise is the best way to start. 

OpenViBE Consortium is the future management and funding structure for OpenViBE. Interested parties can join the consortium as members or donate to it. The consortium will be a non-profit that uses its funds to hire dedicated engineers. The engineers in turn develop the platform to directions that are of interest to the consortium members.

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NeuroTechNix 2018 Congress - Neuro: Prosthetics, Imaging, Sensing, Informatics, Computing, Modulation and Engineering

Neurotechnology shows a very high potential of enhancing human activities, involving technologies such as neural rehabilitation, neural prosthesis, neuromodulation, neurosensing and diagnosis, and other combinations of neurological and biomedical knowledge with engineering technologies.

Congress Areas

AREA 1: NEURAL REHABILITATION AND NEUROPROSTHETICS

• Assistive Technologies
• Telerehabilitation
• Virtual Reality Tools
• Augmentative and Alternative Communication
• Biofeedback Therapy
• Brain/Neural Computer Interfaces
• Clinical and Social Impact of Neurotechnology
• Human Augmentation
• Mobile Technologies
• Privacy, Security and Neuroethics
• Robotic Assisted Therapy

AREA 2: NEUROIMAGING AND NEUROSENSING

• Artificial Intelligence for Neuroimaging
• Sleep Analysis
• Brain imaging
• Diagnostic Sensors
• EEG and EMG Signal Processing and Applications
• Intelligent Diagnosis Systems
• Mobile and Embedded Devices
• Neural Signal Processing
• Positron Emission Tomography
• Real Time Monitoring of Neuromuscular and Neural Activity

AREA 3: NEUROINFORMATICS AND NEUROCOMPUTING

• (Artificial) Neural Networks
• Brain Models and Functions
• Cognitive Science and Psychology
• Computational Neuroscience
• Learning Systems and Memory
• Neurobiology
• Reverse Engineering the Brain
• Self-organization and Evolution

AREA 4: NEUROMODULATION AND NEURAL ENGINEERING

• Biochips and Nanotechnology
• Transcranial Magnetic Stimulation
• Translating into Clinical and Industrial Outcomes
• Bionic Vision
• Cochlear implants
• Cybernetics
• Deep Brain Stimulation
• Functional Electrical Stimulation (FES)
• Neuro-interface Prosthetic Devices
• Non-Invasive Brain Stimulation
• Optogenetics

The congress will be held in Seville - Spain, from 20 to 21 September 2018 and the Paper submission is May 2, 2018

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Next Generation of Neural Interfaces

The Imperial College of London has a Next Generation Neural Interfaces research group to "create interfaces that will change the way the people interact with surroundings". Another team of researchers that surely contribute in advancing of BCIs area.

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Open-Source Python Code for BCI/EEG

Visbrain is an open-source python 3 package dedicated to brain signals visualization. It is based on top of VisPy and PyQt and is distributed under the 3-Clause BSD license.

Visbrain includes six visualization modules :

• Brain : visualize EEG/MEG/Intracranial data, connectivity in a standard MNI 3D brain 
• Sleep : visualize polysomnographic data and hypnogram edition 
• Signal : data-mining module for time-series inspection 
• Topo : display topographical maps 

For more information about BCI/EEG press here.