Can the fast adaptation of neurons explain how we are able to switch so quickly between different learned behaviors? If so, neurons must learn to…
Can Neurons Learn to Adapt?
Lab Talk
Using Surrogate Data to Detect Nonlinearity in Time Series
Surrogate data or transformations of a time series that preserve some features of the time series but not others can be used to test various…
Measuring a Thought
We all intuitively recognize a thought when we have one but a thought is hard to describe as measurable or observable factors. We all have…
Dead or Alive? Rethinking the Flat Line EEG
Death is commonly declared with the observation of a flat line or isoelectric EEG that is irreversible. Yet there are many caveats, challenges and ambiguities…
Explaining Flexible Information Routing in the Brain
We constantly change our behavior between things like driving a car to chopping an onion. How does the brain switch quickly between different sensory-motor pathways…
Computing Correlation Dimension in EEG
Correlation dimension is a method of computing the dimension of an attractor and has been applied to time series such as EEG with some luck…
The Fantastical Claims of Consumer Brain Wearables
Consumer brain recording technologies make all sorts of claims that are simply not substantiated in the literature at the level of individual predictions. Will FTC…
Finding an Alternative to Connectionism
Mainstream theory of brain function revolves around patterns of connectivity. Could the adaptations of neurons be an alternative anchor that provides greater insight? Today’s mainstream…
The Lyapunov Exponent in EEG
Here we provide a background on the lyapunov exponent as a measure of nonlinearity and its application to EEG. Chaos in dynamical systems To understand…
Human Brain Organoids: What They Are and Aren’t
Human brain organoids are human brain cells derived from stem cells and grown in 3-D. How much like a real brain are they? Much of…