Gerald Hahn


On the 4th of December, 16.00h – 17.00h, Dr. Gerald Hahn will give a talk at the colloquium room of the NIN titled ‘Computational properties of the mouse V1 microcircuit’. Dr. Hahn works in the computational neuroscience group at the Universitat Pompeu Fabra in Barcelona, together with Prof. Gustavo Deco. Dr. Hahn works on computational models of the cortical column, including simulations of the role of interneurons. These simulations seem to reproduce experimental activity of different cell-types in, for example, a figure-ground separation task very well. In addition, Dr. Hahn has a strong interest in plasticity, since his model contains biologically inspired connections that potentiate and depress. In case you are interested in a meeting with Dr. Hahn, please contact Enny van Beest so that she can put together a schedule. Dr. Hahn will be around on both the 4th and the 5th of December.

Title: Computational properties of the mouse V1 microcircuit
When: 4th of December, 16.00h – 17.00h
Where: Colloquium room

The brain is organized into layered microcircuits that enclose a variety of neuronal types.  Even though their function is largely unknown, they may implement a switch that transitions excitatory pyramidal neurons between high and low activity state, each with a distinct oscillatory profile and a permissive or suppressive effect on communication with downstream networks, respectively. Using computational modeling of an anatomically comprehensive microcircuit of the mouse primary visual cortex, we found that inhibitory interactions between several inhibitory types incorporates two binary switches between two different rate and oscillatory state, which can show memory similar to bistable toggle switches. Switching behavior is  synchronized across layers through translaminar connections and the column also encompasses  homeostatic mechanisms to protect the high activity state from overexcitation. Finally, two laterally  interacting circuits reproduced physiological signatures of figure-ground segregation in experiments. Our model results thus provide general insights into the functioning of the visual column and its role in communication and computation.​