Abstract Behavioral science can be accelerated greatly by the use of digitally controlled devices capable of measuring relevant parameters and, if necessary, interact with the experiment. Those machines can be bought and they can do things in an implemented way. They are however neither cheap nor as adaptive as they should be. The focus of this poster is to demonstrate how to overcome the rather small barriers in order to develop their own machines. Recently, open hardware projects like the Arduino or the Raspberry Pi draw enormous community coding and building elements that can be fused together to fit the experimenters needs. We as scientists can benefit from large numbers of projects that are documented well in the internet, mostly by tutorial videos including component lists and code. Here we present a number of simple suggestions how to build yourself helpful devices for your behavioral and neurophysiological experiments. inputs: brightness color temperature ultrasonic sound magnetic field capacities moisture humidity contact liquids camera and a lot more... computing: Arduino (microcontroller) models: Uno, nano, mega ... - USB interface - 6 – 16 ADCs - easy to use Raspberry Pi (processor) models: 1, 2, 3, zero - +/- 1 GB RAM / 4x 1,2 GHz - OS (Linux) / GUI - LAN / WiFi / BT - on board - display output data analysis / storage: files, tables, matricies for: MS Excel, R, Statistica,... MatLab, SimuLink Python and a lot more... outputs: motors light sound display LAN WiFi Bluetooth RF serial/USB (PC) Memory (SD) and a lot more... Benjamin H Paffhausen, ben@paffhausen.org, Department of Neurobiology, Freie Universität Berlin, Germany Low cost open source hardware and software in behavioral and electrophysiological experiments: Arduino & Raspberry Pi The MIT License (MIT) Copyright (c) <year> <copyright holders> Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. power supply: battery (5 – 24 V DC) powersocket (220 V AC) PC – USB (5 V DV) solar knowledge base: (find code and pinout) forum.arduino.cc stackexchange.com github.com learn.adafruit.com youtube.com communities: (ask questions) forum.arduino.cc raspberrypi.org/forums stackexchange.com github.com researchgate.net reddit.com availability: (where to buy) arduino.cc raspberry.org adafruit.com ebay.de conrad.de mouser.com necessary skills: - solid experience with searching the Internet for information - very basic understanding of physics and electronics - soldering (optional) what you will learn: - organize projects (develop from the glimmer of an idea to a device) - technical understanding of the possibilities and limits of devices that can support behavioral research. Be at the cutting edge! - using the swarm intelligence of the Internet how to start: - buy an Arduino - download Arduino IDE - connect Arduino via USB - open sketch blink - load it up to the Arduino - see the onboard LED blink - play with the code learn programming: (IMHO) The easiest way to learn programing is to start with a hardware based project. Analy