2 citations · 4 across the 5 of their papers we have counts for
5 papers
Information Theoretic Measures of Causal Influences during Transient Neural Events
Kaidi Shao, Nikos K. Logothetis, Michel Besserve
Transient phenomena play a key role in coordinating brain activity at multiple scales, however,their underlying mechanisms remain largely unknown. A key challenge for neural data s…
Bayesian Information Criterion for Event-based Multi-trial Ensemble data
Kaidi Shao, Nikos K. Logothetis, Michel Besserve
Transient recurring phenomena are ubiquitous in many scientific fields like neuroscience and meteorology. Time inhomogenous Vector Autoregressive Models (VAR) may be used to charac…
From univariate to multivariate coupling between continuous signals and point processes: a mathematical framework
Shervin Safavi, Nikos K. Logothetis, Michel Besserve
Time series datasets often contain heterogeneous signals, composed of both continuously changing quantities and discretely occurring events. The coupling between these measurements…
Signal detection in extracellular neural ensemble recordings using higher criticism
Farzad Fathizadeh, Ekaterina Mitricheva, Rui Kimura +2
Information processing in the brain is conducted by a concerted action of multiple neural populations. Gaining insights in the organization and dynamics of such populations can bes…
The information content of Local Field Potentials: experiments and models
Alberto Mazzoni, Nikos K. Logothetis, Stefano Panzeri
The LFPs is a broadband signal that captures variations of neural population activity over a wide range of time scales. The range of time scales available in LFPs is particularly i…