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OpenHardwareExG: is a project that provides both open source hardware and software for the measurement and analysis of different types of biosignals From the project page: About the OpenHardwareExG project Project goals The main goal of the project is to build a device that allows the creation of electrophysiologic signal processing applications.

Open notebooks are opening up science in the very first steps, making records of ideas, plans that didn’t work and protocols that failed available publicly. This allows others to avoid trailing the same dead end roads, saving time, money and human power.

Open PCR is an open source PCR machine with heated lid and space for 12 samples

From the Open science framework webpage: The Open Science Framework (OSF) is part network of research materials, part version control system, and part collaboration software. The purpose of the software is to support the scientist’s workflow and help increase the alignment between scientific values and scientific practices.

Open stage is a low-cost motorised microscope stage capable of movement in the micrometer range. It features manual control via a control-pad, different movement velocities and pc communication through the serial port.

Parallela, an open source, open access card sized supercomputer, has the mission of bringing parallel computing to the masses by combining multiple RISC processors and very low power consumption. Produced by the Adapteva company.

PySpace is a signal processing and classificiation environment for Python. Modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains.

Frontiers has created not one but two nice collections about open source software for neurosciences written in Python. Here is collection 1 Here is collection 2 In these collections the readers will find a lot of nice resources, ranging from stimulus generation, to data formatting and analysis.

Every lab needs a signal generator once in a while. They are useful to see if your acquisition program is working properly, to test why a certain piece of equipment is not working properly or to generate cues and targets at behavioural paradigms.

Ever thought about playing with a virtual worm? or interacting with a simulated bee brain? Sounds interesting no? These are just two projects that offer anyone the opportunity to play around with brain/neuronal simulations and models.