PhD students and post-docs from theoretical and/​or experimental backgrounds (physics, math, neuroscience, engineering, etc.) are invited to apply. Familiarity with programming, dynamical systems, and/​or computational neuroscience is desirable, but not necessary. We may also select a small number of exceptional undergraduate and Masters level students for the course, if they have sufficient background via courses and especially via project / hobby work related to these areas (write in your statement of interest & CV). The course will start with remedial tutorials on neuroscience / math / programming and then work upwards from sub-cellular electrical and chemical signaling in neurons, onward to micro-circuits and networks, all with an emphasis on learning, memory and plasticity.

We plan to have two 1 hour 30 min lectures in the mornings, hands-on tutorials in the afternoon/​evenings, and also research lectures/​discussions/​project work in the evenings. Students will work on small projects and present it during the school. Projects may be self-chosen or from those suggested by the lecturers.