We are seeking a highly motivated and creative postdoctoral researcher to work on a collaborative project between the labs of Yashar Ahmadian at the Computational and Biological Learning Lab (CBL), Department of Engineering (cbl-cambridge.org), and Zoe Kourtzi (www.abg.psychol.cam.ac.uk) at the Psychology Department, both at the University of Cambridge.

The project is fully funded by the UKRI BBSRC and investigates the computational principles and circuit mechanisms underlying human visual perceptual learning, particularly the role of adaptative changes in the balance of cortical excitation and inhibition in this kind of learning. We aim to integrate a few lines of research in our labs, exemplified by the following key publications:

Y Ahmadian and KD Miller (2021). What is the dynamical regime of cerebral cortex? Neuron 109 (21), 3373-3391.
K Jia, ..., Z Kourtzi (2020). Recurrent Processing Drives Perceptual Plasticity. Current Biology 30 (21), 4177-4187.
P Frangou, ..., Z Kourtzi (2019). Learning to optimize perceptual decisions through suppressive interactions in the human brain. Nature Communications 10, 474.
Y Ahmadian, DB Rubin, KD Miller (2013). Analysis of the stabilized supralinear network. Neural Computation 25, 1994-2037.
T Arakaki, GBarello, Y Ahmadian (2019). Inferring neural circuit structure from datasets of heterogeneous tuning curves. PLOS Comp Bio, 15(4): e1006816.
The postdoc will be based in CBL, with free access to the Kourtzi lab in the Psychology department.

Apply at:https://www.jobs.ac.uk/job/DBD626/research-assistant-associate-in-computational-neuroscience-fixed-term