1 citations · 1 across the 6 of their papers we have counts for
7 papers
Identifying Neural Connectivity using Bernoulli Autoregressive Partially Linear Additive Models
Carla Pinkney, Carolina Euan, Alex Gibberd
Characterising the interactions between spiking neurons is central to our understanding of cognitive processes such as memory, perception and decision making. In this work, we cons…
Regularised Spectral Estimation for High-Dimensional Point Processes
Carla Pinkney, Carolina Euan, Alex Gibberd +1
Advances in modern technology have enabled the simultaneous recording of neural spiking activity, which statistically can be represented by a multivariate point process. We charact…
Clustering Brain Signals: A Robust Approach Using Functional Data Ranking
Tianbo Chen, Ying Sun, Carolina Euan +1
In this paper, we analyze electroencephalograms (EEG) which are recordings of brain electrical activity. We develop new clustering methods for identifying synchronized brain region…
Coherence-based Time Series Clustering for Brain Connectivity Visualization
Carolina Euan, Ying Sun, Hernando Ombao
We develop the hierarchical cluster coherence (HCC) method for brain signals, a procedure for characterizing connectivity in a network by clustering nodes or groups of channels tha…
The Hierarchical Spectral Merger algorithm: A New Time Series Clustering Procedure
Carolina Euan, Hernando Ombao, Joaquin Ortega
We present a new method for time series clustering which we call the Hierarchical Spectral Merger (HSM) method. This procedure is based on the spectral theory of time series and id…
Spectral Synchronicity in Brain Signals
Carolina Euan, Hernando Ombao, Joaquin Ortega
Brain activity following stimulus presentation and during resting state are often the result of highly coordinated responses of large numbers of neurons both locally and globally.…