Topic: local-field potentials

Brain-machine interfaces (BMIs) or neuroprosthetics allow neural control over assistive devices. They also provide an important framework for studying neural plasticity. It has been suggested that learning is essential for robust neuroprosthetic control. However, little is known about neural processes in subcortical regions that support learning a neuroprosthetic skill. Recently, cortico-striatal interactions during neuroprosthetic learning have been explored5 but what are the emergent cerebellar dynamics with cortical neuroprosthetic control is unknown. We performed simultaneous electrophysio

Individual neurons’ action potentials (APs) have a dynamic waveform, the shape of which differs by neuron subtype and species. In analyses of single-unit data, however, this waveform is reduced to a binary “all-or-nothing” event, with systems and cognitive neuroscience focusing on the number and timing of spike events. This analytical convenience has, in turn, resulted in computational theories of neural coding that assume binarity.Despite this assumption, a considerable body of evidence shows that AP waveforms exhibit systematic, within-neuron variation that may contribute additional informat