Spike trains refer to sequences of neuronal action potentials, a type of time series data where each spike is associated with a specific timestamp. Patterns of neural activity, such as bursts, pauses, and tonic firing, are closely linked to various biological functions or dysfunctions. 

A burst is characterized by a cluster of high-frequency spikes, a pause represents a period of no activity, and tonic firing involves relatively regular spiking. Key parameters, such as the minimum number of spikes in each pattern and the inter-spike interval, are essential for scientists to analyze and identify these patterns.

Spike Train Studio is designed to help you detect bursts, pauses, and tonic patterns, as well as simulate spike trains using customizable parameters. We also aim to share exciting research updates with you!