We invite applications for a research fellowship/postdoctoral research fellowship working with Dr. Alex Holcombe in the School of Psychology at the University of Sydney. The research area is visual psychophysics, and the project involves the perception and attentive tracking of moving objects. One line of experiments will investigate the limits on judging the spatial relationship of moving objects.

A new version of my 100-minute interactive neural network lesson is available. The lesson webpages guide university-level students through learning and directed play with a connectionist simulator. The outcome is that students gain a sense of how neuron-like processing units can mediate adaptive behavior and memory.

If you don’t understand the title of this post, you almost certainly will regret reading further. We’re doing an experiment in which one target is presented along with m distracters.

programming perception experiments job opening

https://www1.gotomeeting.com/register/422340144 Fri, May 22, 2009 3:00 PM – 3:30 PM CDT description: http://blog.enthought.com/?p=116 They will try to record it for later playback.

Earlier I wrote about the open-source free tools I use to plot and analyze my data—Python and R. One of the most time-consuming and fiddly parts of making graphs for our papers is the need to: plot multiple subsets of the data (different experimental conditions), sometimes with double axes make a whole array of plots, one for each of the experimental participants’ data I’ve been doing this in python with scipy by coding an outer loop

My scientific workflow includes email between myself and lab members and collaborators, annotations on previously published papers, adding information and ideas to the lab wiki, Python programs to create visual displays and run experiments with them, and Python and R code to plot the results and do the statistical analysis.

I’ve transitioned to all open-source software for my science. The Python language and its libraries VisionEgg and Psychopy are more than sufficient to code my perception experiments. For data analysis, I’ve gotten pretty far with the SciPy library for Python, which has probability distributions, function minimization, Fourier transforms, etc. The Matplotlib library makes it easy to make plots in a way familiar for old MATLAB users like me.