Publications by Christoph Pokorny

Heterogeneous and higher-order cortical connectivity undergirds efficient, robust, and reliable neural codes

Kathryn Hess Bellwald, András Ecker, Daniela Egas Santander, Christoph Pokorny

To distinguish between subpopulations, we developed a metric based on the mathematical theory of simplicial complexes that captures the complexity of their connectivity by contrasting its higher-order structure to a random control and confirmed its relevan ...

2025

Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part I: Anatomy

Henry Markram, Kathryn Hess Bellwald, Eilif Benjamin Muller, Srikanth Ramaswamy, Michael Reimann, James Gonzalo King, Lida Kanari, Ying Shi, Armando Romani, Adrien Michel Achille Devresse

The function of the neocortex is fundamentally determined by its repeating microcircuit motif, but also by its rich, hierarchical, interregional structure with a highly specific laminar architecture. The last decade has seen the emergence of extensive new ...

2024

A connectome manipulation framework for the systematic and reproducible study of structure–function relationships through simulations

Michael Reimann, Matthias Wolf, James Bryden Isbister, Omar Awile, Christoph Pokorny, Mustafa Kerem Kurban

Synaptic connectivity at the neuronal level is characterized by highly non-random features. Hypotheses about their role can be developed by correlating structural metrics to functional features. But to prove causation, manipulations of connectivity would h ...

2024

Modeling and simulation of neocortical micro- and mesocircuitry. Part II: Physiology and experimentation

Henry Markram, Eilif Benjamin Muller, Srikanth Ramaswamy, Michael Reimann, James Gonzalo King, Rajnish Ranjan, Armando Romani, Mustafa Anil Tuncel, Aleksandra Zuzanna Teska, Polina Litvak

Cortical dynamics underlie many cognitive processes and emerge from complex multi-scale interactions, which are challenging to study in vivo. Large-scale, biophysically detailed models offer a tool which can complement laboratory approaches. We present a m ...

2024

Topology of synaptic connectivity constrains neuronal stimulus representation, predicting two complementary coding strategies

Michael Reimann, Christoph Pokorny, Ran Levi

In motor-related brain regions, movement intention has been successfully decoded from invivo spike train by isolating a lower-dimension manifold that the high-dimensional spiking activity is constrained to. The mechanism enforcing this constraint remains u ...

PUBLIC LIBRARY SCIENCE2022