Advances in microfabrication technology have enabled the production of devices containing
arrays of thousands of closely spaced recording electrodes, which afford subcellular …

Leaky integrate-and-fire (LIF) network models are commonly used to study how the spiking
dynamics of neural networks changes with stimuli, tasks or dynamic network states …

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 …

We present a method for automated spike sorting for recordings with high-density, large-
scale multielectrode arrays. Exploiting the dense sampling of single neurons by multiple …

With rapidly advancing multi-electrode recording technology, the local field potential (LFP)
has again become a popular measure of neuronal activity in both research and clinical …

It is common to study the electric activity of neurons by measuring the electric potential in the
extracellular space of the brain. However, interpreting such measurements requires …

When recording neural activity from extracellular electrodes, both in vivo and in vitro, spike
sorting is a required and very important processing step that allows for identification of single …

Electroencephalography (EEG) and magnetoencephalography (MEG) are among the most
important techniques for non-invasively studying cognition and disease in the human brain …

There is a significant interest in the neuroscience community in the development of large-
scale network models that would integrate diverse sets of experimental data to help …

Local Field Potentials (LFPs) are population signals generated by complex spatiotemporal
interaction of current sources and dipoles. Mathematical computations of LFPs allow the …