Objective: While understanding the interaction patterns among simultaneous recordings of
spike trains from multiple neuronal units is a key topic in neuroscience, existing methods …

Multi-electrode arrays covering several square millimeters of neural tissue provide
simultaneous access to population signals such as extracellular potentials and spiking …

Simultaneous recordings of spike trains from multiple single neurons are becoming
commonplace. Understanding the interaction patterns among these spike trains remains a …

Understanding the neurophysiological mechanisms of information processing within and
across brain regions has always been a fundamental and challenging topic in neuroscience …

Correlations in neuronal activity are ubiquitous, and they must be accounted for to correctly
interpret spike trains as well as mass signals (LFP, ECoG, EEG). Specifically, the success of …

The concept of causality provides a theoretical framework to gain insights into the
mechanisms underlying driver-response relationships in coupled systems by estimating the …

Quantifying both the amount and content of the information transferred between neuronal
populations is crucial to understand brain functions. Traditional data-driven methods based …

Due to technical advances, the number of neurons recorded in parallel increases drastically.
This development reveals new types of artefacts: Common noise and cross-talk are …

In this paper, we present an efficient framework to study the directional interactions within
the multiple-input multiple-output (MIMO) biological neural network from spiketrain data. We …

The brain encodes information by neural spiking activities, which can be described by time
series data as spike counts. Latent Variable Models (LVMs) are widely used to study the …