555 citations · 2.9k across the 55 of their papers we have counts for
4 papers · 1 filter
Feedforward Architectures Driven by Inhibitory Interactions
Yazan N. Billeh, Michael T. Schaub
Directed information transmission is paramount for many social, physical, and biological systems. For neural systems, scientists have studied this problem under the paradigm of fee…
Flow-based network analysis of the Caenorhabditis elegans connectome
Karol A. Bacik, Michael T. Schaub, Mariano Beguerisse-Díaz +2
We exploit flow propagation on the directed neuronal network of the nematode Caenorhabditis elegans to reveal dynamically relevant features of its connectome. We find flow-based gr…
Emergence of slow-switching assemblies in structured neuronal networks
Michael T. Schaub, Yazan N. Billeh, Costas A. Anastassiou +2
Unraveling the interplay between connectivity and spatio-temporal dynamics in neuronal networks is a key step to advance our understanding of neuronal information processing. Here…
The Ising decoder: reading out the activity of large neural ensembles
Michael T. Schaub, Simon R. Schultz
The Ising Model has recently received much attention for the statistical description of neural spike train data. In this paper, we propose and demonstrate its use for building deco…