Lead-OR visualizes results derived from microelectrode recordings in anatomical space, together with information derived from patient-specific MRI data, as well as high-resolution atlas resources during deep brain stimulation surgery.

Motor signs of Parkinson’s disease such as tremor and bradykinesia are independently expressed and exhibit distinct signatures of neural activity that can independently decoded from subthalamic and cortical recordings using interpretable machine learning.

Low-profile tetrodes that are compatible with wide-field imaging provide the opportunity to evaluate the relationship between spiking neurons and broad networks.

A continuum of ripple oscillations in human anterior temporal lobe reflects the dynamic synchrony of populations of neurons during memory retrieval.

A reusable system of 3D printed stainless steel microdrive and plastic head cap allows stable recording of electrophysiological data in mice and rats and easy recovery of silicon probes.

Existing artificial retinas produce distorted and imprecise activation of the visual system, but reverse engineering promises to refine the induced activation patterns.

Coil-based CIs have the potential to enhance the quality of restored hearing for people with severe to profound hearing loss.

A novel micropositioning approach allows remote-controlled, micrometer-resolution actuation of many densely packed, arbitrarily shaped probes with a device whose size and weight scale much more efficiently with probe count compared to current methods.

Reconstruction of axonal morphologies based on extracellular action potentials enables label-free electrical visualization of axonal conduction trajectories, providing a noninvasive method for functional profiling of cortical and spinal axons.

Synchronization of neural firing in the medial temporal lobe at fast, but not slow, theta and gamma oscillations correlates with shorter latencies of co-firing and successful memory formation.