Spike sorting is a crucial step to extract information from extracellular recordings. With new
recording opportunities provided by the development of new electrodes that allow …

At present, the prime methodology for studying neuronal circuit-connectivity, physiology and
pathology under in vitro or in vivo conditions is by using substrate-integrated microelectrode …

Understanding the detailed dynamics of neuronal networks will require the simultaneous
measurement of spike trains from hundreds of neurons (or more). Currently, approaches to …

Mental strength and history of winning play an important role in the determination of social
dominance. However, the neural circuits mediating these intrinsic and extrinsic factors have …

High-frequency ripple oscillations, observed most prominently in the hippocampal CA1
pyramidal layer, are associated with memory consolidation. The cellular and network …

γ-frequency oscillations (30-120 Hz) in cortical networks influence neuronal encoding and
information transfer, and are disrupted in multiple brain disorders. While synaptic inhibition …

We report a scalable method to monolithically integrate microscopic light emitting diodes
(μLEDs) and recording sites onto silicon neural probes for optogenetic applications in …

Chronux is an open-source software package developed for the analysis of neural data. The
current version of Chronux includes software for signal processing of neural time-series data …

How does the brain orchestrate perceptions, thoughts and actions from the spiking activity of
its neurons? Early single-neuron recording research treated spike pattern variability as …

The detection of neural spike activity is a technical challenge that is a prerequisite for
studying many types of brain function. Measuring the activity of individual neurons …