The analysis of neural dynamics in several brain cortices has consistently uncovered low-dimensional
manifolds that capture a significant fraction of neural variability. These neural …

Highlights • Brains can be viewed as a composition of anatomically distinct modules called
regions. • Brain regions interact in complex ways to form a ‘network of networks’. • Untangling …

Animals readily execute learned behaviors in a consistent manner over long periods of time,
and yet no equally stable neural correlate has been demonstrated. How does the cortex …

Populations of cortical neurons flexibly perform different functions; for the primary motor
cortex (M1) this means a rich repertoire of motor behaviors. We investigate the flexibility of M1 …

Despite rapid advances in machine learning tools, the majority of neural decoding approaches
still use traditional methods. Modern machine learning tools, which are versatile and …

People with late-stage Parkinson’s disease (PD) often suffer from debilitating locomotor
deficits that are resistant to currently available therapies. To alleviate these deficits, we …

Long-term learning of language, mathematics, and motor skills likely requires cortical
plasticity, but behavior often requires much faster changes, sometimes even after single errors. …

Animals of the same species exhibit similar behaviours that are advantageously adapted to
their body and environment. These behaviours are shaped at the species level by selection …

… once per day for 5 d (Rimadyl 4 mg kg −1 , subcutaneous (sc); dexamethasone 0.3 mg kg
−1 , sc) and analgesic was given twice per day for 5 d (Temgesic 0.01 mg kg −1 , im). Within …

For brain–computer interfaces (BCIs), obtaining sufficient training data for algorithms that map
neural signals onto actions can be difficult, expensive or even impossible. Here we report …