Andreas S Tolias

On the structure of population activity under fluctuations in attentional state

The paper analyzes how attentional state fluctuations affect population neural responses in a model where attention modulates neuron gain, showing that attention increases response gain and reduces variability without altering correlation structure.

Supervised learning sets benchmark for robust spike rate inference from calcium imaging signals

The paper benchmarks spike rate inference algorithms using calcium imaging data and introduces a supervised learning method that outperforms existing techniques across diverse datasets.