Fabiano Baroni

Methods This section opens with the description of the synthetic spike train formalisms used for the validation of the MSTMs in a controlled setting with known ground truth, before presenting the MSTMs themselves. Next, we describe the measures of bias and variability employed to quantify of the effects of varying time window length and number of neurons on each MSTM.

Abstract A better understanding of the neural and muscular mechanisms underlying motor responses is essential for advancing neurorehabilitation protocols, brain-computer interfaces (BCI), feature engineering for biosignal classification algorithms, and identifying biomarkers of disease and performance enhancement strategies.

Abstract Neuronal activity is organized in collective patterns that are critical for information coding, generation, and communication between brain areas. These patterns are often described in terms of synchrony, oscillations, and phase relationships. Many methods have been proposed for the quantification of these collective states of dynamic neuronal organization. However, it is difficult to determine which method is best suited for which experimental setting and research question.