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…
Seizure Prediction Performance of Linear and Nonlinear Features
Lab Talk
Coronavirus and the Brain
Coronaviruses can be ‘neuroinvasive’ and have impacts on the brain from inflammation to demyelination With the psyche of the entire world consumed by Coronavirus, as…
Raising Robots in AI-Kindergarten
How insights from the way the brain learns can be used to design adaptive learning mechanisms for AI that include both phylogenetic and ontogenetic aspects….
The Challenge of Seizure Prediction
Despite a large number of papers and competitions, accurate detection of seizures remains elusive. Here are some of the key challenges. According to the World…
Challenges of Methodological Variability in EEG
Methodological variability is a challenge in the EEG field at various levels. This video provides a view of these challenges in four major areas along…
What’s New in the EEGLAB Signal Processing Platform
EEGLAB is an open source platform running on Matlab with a large set of functions for analyzing the EEG signal that are constantly being updatd. …
Electrical Field Potentials from Mouse to Human
There are many differences between mouse and human brains. How does this play out in the field potential signals such as LFP and EEG? The…
The Temple University Hospital EEG Corpus
The Temple University Hospital (TUH) Corpus with over 30,000 EEG records and associated clinical reports is one of the largest open EEG data repositories available….
Designing Experiments to Uncover Neuron Intelligence
Intelligence is an adaptive process that requires an environment on which it can act. To uncover if neurons have independent intelligence requires closed loop experiments…
How Intelligent Are Neurons?
If individual neurons were as intelligent as little minions, how would we know? The experimental paradigms today assume they are not, what should we change…
