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Top-down modulation in canonical cortical circuits with short-term plasticity

MPS-Authors

Waitzmann,  Felix
Computation in Neural Circuits Group, Max Planck Institute for Brain Research, Max Planck Society;
School of Life Sciences, Technical University of Munich, 85354 Freising, Germany;

Wu,  Yue Kris
Computation in Neural Circuits Group, Max Planck Institute for Brain Research, Max Planck Society;
School of Life Sciences, Technical University of Munich, 85354 Freising, Germany;

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Gjorgjieva,  Julijana
Computation in Neural Circuits Group, Max Planck Institute for Brain Research, Max Planck Society;
School of Life Sciences, Technical University of Munich, 85354 Freising, Germany;

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Citation

Waitzmann, F., Wu, Y. K., & Gjorgjieva, J. (2024). Top-down modulation in canonical cortical circuits with short-term plasticity. PNAS, 121(16): 2311040121. doi:10.1073/pnas.2311040121.


Cite as: https://hdl.handle.net/21.11116/0000-000F-2CD4-1
Abstract
Cortical dynamics and computations are strongly influenced by diverse GABAergic interneurons, including those expressing parvalbumin (PV), somatostatin (SST), and vasoactive intestinal peptide (VIP). Together with excitatory (E) neurons, they form a canonical microcircuit and exhibit counterintuitive nonlinear phenomena. One instance of such phenomena is response reversal, whereby SST neurons show opposite responses to top-down modulation via VIP depending on the presence of bottom-up sensory input, indicating that the network may function in different regimes under different stimulation conditions. Combining analytical and computational approaches, we demonstrate that model networks with multiple interneuron subtypes and experimentally identified short-term plasticity mechanisms can implement response reversal. Surprisingly, despite not directly affecting SST and VIP activity, PV-to-E short-term depression has a decisive impact on SST response reversal. We show how response reversal relates to inhibition stabilization and the paradoxical effect in the presence of several short-term plasticity mechanisms demonstrating that response reversal coincides with a change in the indispensability of SST for network stabilization. In summary, our work suggests a role of short-term plasticity mechanisms in generating nonlinear phenomena in networks with multiple interneuron subtypes and makes several experimentally testable predictions.