The multiple-memory-systems framework—that distinct types of memory are supported by
distinct brain systems—has guided learning and memory research for decades. However …

The processing of temporal intervals is essential to create causal maps and to predict future
events so as to best adapt one's behavior. In this review, we explore the different brain …

Brain computer interfaces (BCIs) have been applied to sensorimotor systems for many
years. However, BCI technology has broad potential beyond sensorimotor systems. The …

We address the issue of reliably detecting and quantifying cross-frequency coupling (CFC)
in neural time series. Based on non-linear auto-regressive models, the proposed method …

Neural time-series data contain a wide variety of prototypical signal waveforms (atoms) that
are of significant importance in clinical and cognitive research. One of the goals for …

Control of the timing of behavior is thought to require the basal ganglia (BG) and BG
pathologies impair performance in timing tasks. Temporal interval discrimination depends …

Behavioral flexibility requires the prefrontal cortex and striatum, but it is unclear if these
structures play similar or distinct roles in adapting to novel circumstances. Here, we …

Phase-amplitude coupling (PAC) measures the relationship between the phase of low-
frequency oscillations (LFO) and the amplitude of high-frequency oscillations (HFO). It plays …

Motor sequence learning, planning and execution of goal-directed behaviors, and decision
making rely on accurate time estimation and production of durations in the seconds-to …

The major tenets of beat-frequency/coincidence-detection models of reward-related timing
are reviewed in light of recent behavioral and neurobiological findings. This includes the …