Here are three tutorials on common methods, challenges and pitfalls in the analysis of EEG for those who missed the symposium last year covering issues […]
Lab Talk
Intraperson Variability in fMRI Challenges Years of Research
Large intraperson variability in fMRI results for the same task questions the interpretation of decades of research, and makes a stronger case for EEG research. […]
Fundamentals of Biological Intelligence
What are the fundamental principles of biological intelligence. Here is a theory that brings together various foundational theories into an integrated framework, one called practopoiesis […]
Applying Transfer Entropy to the EEG
Transfer entropy is a way to estimate interdependencies between two time series that is sensitive to both linear and nonlinear interactions so a useful measure […]
EEG and Depth of Anesthesia
One of the key challenges of anesthesia is assessing the state of consciousness or depth of anesthesia of the person through the process of surgery. […]
Foundations of Intelligence
What is intelligence? Here are several foundational concepts that help define the descriptive rules of intelligence, not just of the human mind, but in any […]
Making Sense of Granger Causality in EEG
Granger causality is an estimation of causality in time series that depends on linear methods. Does it have relevance to the nonlinear, non-stationary EEG signal […]
The Perils of EEG Preprocessing
Often artifact removal means throwing out a lot of valuable signal. Is it worthwhile to throw the baby out with the bathwater? The EEG signal […]
The Adaptive Traverse: How Knowledge Moves from DNA to Behavior
Here I discuss the concept of an adaptive traverses and how this might explain the link between genes and behavior. Your DNA knows things. It […]
Seizure Prediction Performance of Linear and Nonlinear Features
Many features of the EEG have been used to predict seizures. Here we explore their performance showing that linear features perform as well as non […]