Recordings of extracellular electrical, and later also magnetic, brain signals have been the
dominant technique for measuring brain activity for decades. The interpretation of such …

Objective. Mechanistic modeling of neurons is an essential component of computational
neuroscience that enables scientists to simulate, explain, and explore neural activity. The …

Determining the positions of neurons in an extracellular recording is useful for investigating
the functional properties of the underlying neural circuitry. In this work, we present a …

Classification of neurons from extracellular recordings is mainly limited to putatively
excitatory or inhibitory units based on the spike shape and firing patterns. Narrow waveforms …

In neural electrophysiology, spike sorting allows to separate different neurons from
extracellularly measured recordings. It is an essential processing step in order to understand …

When recording neural activity from extracellular electrodes, spike sorting is needed to
separate the activity of different neurons. Most of the spike sorting packages are offline and …

Statistical methods, and in particular deep learning models, have achieved remarkable
success in computer vision, speech recognition, and natural language processing due to the …

Multi-Electrode Arrays (MEAs) have been widely used to record neuronal activities, which
could be used in the diagnosis of gene defects and drug effects. In this paper, we address …

With the advent of high-density multi-electrode arrays we are now able to measure the
activity of hundreds of neurons simultaneously, even at the sub-cellular level. However, next …

Objective. Mechanistic modeling of neurons is an essential component of computational
neuroscience that enables scientists to simulate, explain, and explore neural activity and …