Despite the spatial and temporal limitations of the displays ( Bach et al., 1997) and assorted other potential problems ( Bach, 1997 Pelli, 1997a,b Wolf and Deubel, 1997) the variety of stimuli that they can generate with relatively little effort has made them the stimulus presentation method of choice for most neuroscience laboratories. Since the 1980s computers and cathode-ray-tube displays (CRTs) have been used extensively, almost ubiquitously, in visual and cognitive neuroscience experiments. If a user wants to add support for a particular stimulus, analysis or hardware device they can look at the code for existing examples, modify them and submit the modifications back into the package so that the whole community benefits. Most importantly, PsychoPy is highly extensible and the whole system can evolve via user contributions. Tools are provided within the package to allow everything from stimulus presentation and response collection (from a wide range of devices) to simple data analysis such as psychometric function fitting. PsychoPy scripts are designed to be extremely easy to read and write, while retaining complete power for the user to customize the stimuli and environment. PsychoPy is a platform-independent experimental control system written in the Python interpreted language using entirely free libraries. The current paper describes a new free suite of software tools designed to make this task easier, using the latest advances in hardware and software. The vast majority of studies into visual processing are conducted using computer display technology.
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