This page is for those attending the Python Introduction (2 and 3 November) as part of the PyBrain workshop at the MRC Cognition and Brain Sciences Unit. Thanks to Johan Carlin for organising this series of virtual training sessions!
Via Twitter, Dennis Hernaus (@hernaus_tweets) contacted me about my MPy150 library for BioPac’s MP150 system (read this older blog post for more info). After some fiddling, he managed to get his MP160 device to work in Python, and I figured it would be good to share his efforts here.
Titus von der Malsburg and colleagues have organised an OpenSesame and PyGaze workshop at the University of Potsdam. This page contains instructions and downloads, and is updated throughout the workshop based on what we need and produce on each day.
Today was Python Day at the MRC Cognition and Brain Sciences Unit. Download all the required files and scripts here.
Tobii is a major player in the eye-tracking world, selling devices to customers in business and science. Today, Tobii has made a major step towards supporting open science by adding support for its new SDK in PyGaze (and by extension in OpenSesame). You can review the code on GitHub, download the PyGaze package as a zip, or download a full WinPython version. Details below, and more info on downloading here.
European Conference on Eye Movements The European Conference on Eye Movements is a biennial event for scientists and engineers who research or use eye movements in their work. The 2017 edition will be hosted in Wuppertal, Germany, and is preceded by several workshops. One of these is Edwin Dalmaijer’s “Learn …
Gazepoint is a relatively small player on the eye-tracking market. They sell two devices: the 60 Hz GP3 at a price of $695, and the 150 Hz GP3 HD at $1995 (both of those prices exclude VAT and shipping). Because of its relatively low price, the basic GP3 is an appealing model for researchers on a budget. As of today, PyGaze supports Gazepoint’s trackers through their OpenGaze API. Download the new code from GitHub, and have fun!
Although it sounds like a lot of effort, creating a Twitter bot is actually really easy! This tutorial, along with some simple tools, can help you create Twitter bots that respond when they see certain phrases, or that periodically post a tweet. These bots work with Markov chains, which can generate text that looks superficially good, but is actually quite nonsensical. You can make the bots read your favourite texts, and they will produce new random text in the same style!
Sigmund Freud is back! He returned in the form of a Twitter bot that replies when someone uses the hashtag #askFreud in their tweets. Not unlike the real Freud, Sigbot produces nonsensical, but real-looking text that is produced using a Markov chain. The bot can recognise and respond to specific keywords, and it can speak both German and English.