Back to the abstracts page
Back to the NCCD 2015 home page
Frequency Filtering of Deep and Superficial Input to the Martinotti Loop.
Richard Naud1 and Henning Sprekeler1
1Department of Electronics and Informatics, Technische Universität Berlin, MarchStr 23, MAR 5-3 Berlin 10587, Germany.

Pyramidal neurons often connect to inhibitory cells that project back to the dendrites the pyramidal neurons. This recurring microcircuit, the Martinotti loop, is anatomically poised to combine the input of the deeper cortical layers with what impinges on the superficial layers. We have constructed a simple computational model that captures three salient electrophysiological features of this system: nonlinear dendritic integration in the dendritic tuft of pyramidal cells [1,2], facilitating excitatory synapses, and saturating frequency-dependent disynaptic inhibition [3]. We then analyzed the input-output properties of the Martinotti loop, imbedded in a balanced-state network. Our simulations show a direction-dependent frequency filtering of information, which requires dendritic activity and short-term plasticity. We contrast our results with signatures of feedback and feedforward cortical processing in vivo [4].

[1] M. Larkum M, J. Zhu J, B. Sakmann Nature 398:338-341 (1999).
[2] R. Naud, B. Bathellier, W. Gerstner Frontiers in computational neuroscience 8 (2014).
[3] T.K. Berger, G. Silberberg, R. Perin, H. Markram PLoS biology 8(9):e1000473 (2010).
[4] T. van Kerkoerle, M.W. Self, B. Dagnino, M.A. Gariel-Mathis, J. Poort, C. van der Togt, et al. Proceedings of the National Academy of Sciences 111(40):14332-14341 (2014).