The ability of humans and animals to quickly adapt to novel tasks is difficult to reconcile with
the standard paradigm of learning by slow synaptic weight modification. Here, we show that …

Biological brains can learn, recognize, organize, and re-generate large repertoires of
temporal patterns. Here I propose a mechanism of neurodynamical pattern learning and …

Surface electromyogram (sEMG) signals result from muscle movement and hence they are
an ideal candidate for benchmarking event-driven sensing and computing. We propose a …

Sporting experience plays a pivotal role in shaping exercise habits, with a mutually
reinforcing relationship that enhances cognitive performance. The acknowledged plasticity …

Temporally precise movement patterns underlie many motor skills and innate actions, yet
the flexibility with which the timing of such stereotyped behaviors can be modified is poorly …

Background There is evidence that muscle reflexes are delayed in patients with chronic low
back pain in response to perturbations. It is still unrevealed whether these delays …

In the last decade, training recurrent neural networks (RNN) using techniques from the area
of reservoir computing (RC) became more attractive for learning sequential data due to the …

Animals display rich and coordinated motor patterns during walking and running. Previous
modelling as well as experimental results suggest that the balance between excitation and …

Background. Sporting experience plays a pivotal role in shaping exercise habits, with a
mutually reinforcing relationship that enhances cognitive performance. The acknowledged …

The brain can be considered as a complex system of interacting neurons. As many other
complex systems, neural circuits can be understood as networks of linked model units. The …