Background Information theory is an increasingly popular framework for studying how the
brain encodes sensory information. Despite its widespread use for the analysis of spike …

Information Theory enables the quantification of how much information a neuronal response
carries about external stimuli and is hence a natural analytic framework for studying neural …

The estimation of the information carried by spike times is crucial for a quantitative
understanding of brain function, but it is difficult because of an upward bias due to limited …

The recent surge in computational power has led to extensive methodological developments
and advanced signal processing techniques that play a pivotal role in neuroscience. In …

Conventional methods widely available for the analysis of spike trains and related neural
data include various time-and frequency-domain analyses, such as peri-event and …

It has been known for> 30 years that neuronal spike trains exhibit correlations, that is, the
occurrence of a spike at one time is not independent of the occurrence of spikes at other …

The complexity of neurophysiology data has increased tremendously over the last years,
especially due to the widespread availability of multi-channel recording techniques. With …

Understanding how neural systems integrate, encode, and compute information is central to
understanding brain function. Frequently, data from neuroscience experiments are …

Multichannel electroencephalography (EEG) offers a non-invasive tool to explore spatio-
temporal dynamics of brain activity. With EEG recordings consisting of multiple trials …

The integration of signals from electro-encephalography (EEG) and functional magnetic
resonance imaging (fMRI), acquired simultaneously from the same observer, holds great …