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The University of Texas at Dallas

4 entries
United States University
August 2026

UT Dallas Team Quantifies How Overlapping ICMS Activation Volumes Erode Discrimination

Researchers at the University of Texas at Dallas paired a biophysically realistic computational model with rat behavioral data and found that discrimination accuracy falls off exponentially as the neuronal activation volumes evoked by intracortical microstimulation (ICMS) overlap (R² = 0.88). With minimal overlap, an intersection-over-union below 1%, rats averaged 85% accuracy, while IoU above 20% left them near chance. The work, published in Frontiers in Computational Neuroscience, gives a mechanistic basis for setting electrode spacing in sensory neuroprosthetics.
July 2026

Spatial Proteomic Analysis of Antimicrobial Therapeutic-Releasing Intracortical Probes

The study uses spatial proteomics to assess tissue around non-functional intracortical microelectrodes implanted for four weeks in mice, measuring neuronal integrity, immune-cell activation and local cytokine expression around probes coated with drug-loaded, controlled-release titanium dioxide nanotube array (TNA) coatings. The authors note that blood-brain barrier disruption can translocate gut-derived bacteria to the implant site and sustain chronic inflammation, and that the TNA coating's therapeutic loading and controlled release further damp residual neuroinflammation. They conclude that TNA offers a multifunctional, tunable interface for locally regulating the neuroimmune microenvironment, a step toward long-term reliable intracortical recordings.

Ruthenium Oxide Electrode Coating Supports 25 Weeks of Intracortical Stimulation

Researchers evaluated ruthenium-oxide-coated amorphous silicon-carbide microelectrode arrays during 25 weeks of intracortical microstimulation in rodents. Perception thresholds stabilized at about 0.4 nC per phase per electrode by week nine, behavioral performance remained around 91%, and reliable sensation persisted through week 25.

Sigmoidal Decoding of Locomotion Speed in Mouse M1

The study shows mouse primary motor cortex encodes locomotion speed through a sigmoidal state-transition mechanism carried by two functionally distinct spiking populations, a framework that also extends to local field potential (LFP) band power. Using chronic 32-channel laminar arrays in 8 mice, the team recorded 5,889 single units across 384 channels and clustered them into speed-positively related (70.8%) and speed-inversely related (29.2%) groups sharing a speed threshold of about 2.3 m/min. The minority speed-inversely related population decoded speed more accurately via inverse-sigmoid transformation, generalizing across animals. The authors say the findings point toward stable, calibration-light brain-machine interface design.
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