Model-free Estimation of Tuning Curves and Their Attentional Modulation, Based on Sparse and Noisy Data
Markus Helmer, Vladislav Kozyrev, Valeska Stephan, Stefan Treue, Theo Geisel, Demian Battaglia
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.
PLOS ONE · Jan 19, 2016Peer-reviewedNeuroscience