3 papers
q-bio.NC2025
Assessing the Information Content of Individual Spikes in Population-Level Models of Neural Spiking Activity
Azar Ghahari, Uri T. Eden
In the last decade, there have been major advances in clusterless decoding algorithms for neural data analysis. These algorithms use the theory of marked point processes to describ…
q-bio.NC2025
A state-space framework for causal detection of hippocampal ripple-replay events
Sirui Zeng, Uri T. Eden
Hippocampal ripple-replay events are typically identified using a two-step process that at each time point uses past and future data to determine whether an event is occurring. Thi…
stat.ME2024
Switching Models of Oscillatory Networks Greatly Improve Inference of Dynamic Functional Connectivity
Wan-Chi Hsin, Uri T. Eden, Emily P. Stephen
Functional brain networks can change rapidly as a function of stimuli or cognitive shifts. Tracking dynamic functional connectivity is particularly challenging as it requires estim…