Markus Helmer

Model-free Estimation of Tuning Curves and Their Attentional Modulation, Based on Sparse and Noisy Data

This paper introduces a model-free method to estimate tuning curves and their attentional modulation from sparse and noisy neuronal data, showing it can reliably capture features that conventional model-based approaches miss.

Connectome of a model local cortical circuit flexibly shapes layer-dependent multi-frequency oscillations

The paper models a local cortical circuit to show inter-layer connectivity shapes multi-frequency oscillations and inter-areal dynamics.