Techniques for recording large-scale neuronal spiking activity are developing very fast. This
leads to an increasing demand for algorithms capable of analyzing large amounts of …

Pattern separation is a central concept in current theories of episodic memory: this
computation is thought to support our ability to avoid confusion between similar memories by …

Understanding how the brain functions is one of the biggest challenges of our time. The
analysis of experimentally recorded neural firing patterns (spike trains) plays a crucial role in …

Background It is commonly assumed in neuronal coding that repeated presentations of a
stimulus to a coding neuron elicit similar responses. One common way to assess similarity …

Background Measures of spike train synchrony are widely used in both experimental and
computational neuroscience. Time-scale independent and parameter-free measures, such …

Measures of spike train synchrony have proven a valuable tool in both experimental and
computational neuroscience. Particularly useful are time-resolved methods such as the ISI …

Abstract Thanks to Deep Learning Text-To-Speech (TTS) has achieved high audio quality
with large databases. But at the same time the complex models lost any ability to control or …

A spike train kernel provides an effective way of decoding information represented by a
spike train. Some spike train kernels have been extended to multineuron spike trains, which …

In the present paper, a simple spike timing distance is defined which can be used to
measure the degree of synchronization with the information only encoded in the precise …

Micro-electrode arrays implanted into the brain record the electrical potentials
corresponding to the activity of neurons and neural populations. These recordings can be …