Eric A. Yttri

B-REAL is a pose-free classifier that enables fast, accurate behavior detection in real-time with minimal training data and no pose estimation, improving closed-loop experiments.

The paper identifies a cortical circuit in mice modulated by opioids and develops a gene therapy to mimic opioid analgesia for chronic pain.

This paper identifies the striatal indirect pathway as mediating hesitation in mice through cell-type specific electrophysiology and optogenetics.

This study shows that state-dependent deep brain stimulation in Parkinson's disease increases movement speed more effectively during fast movements, using machine learning to decode brain signals for real-time adjustments.

The paper shows that striatal pathway modulation in mice affects behavioral policies related to reinforcement rather than action selection.

This study investigates cell-type specific effects of tFUS in awake rats, finding that PRF and DC sensitivity persists despite some differences compared to anesthetized conditions.

B-SOiD is an open-source unsupervised algorithm that identifies spontaneous behaviors from pose data, improving processing speed and generalization across subjects.

The paper maps behavioral signatures of inflammatory pain and its relief in mice using computational tools and identifies that a common anti-inflammatory drug does not fully restore pre-injury behavior.

The paper introduces a 3D-printed microelectrode array with ultra-high density and customizable design for electrophysiological recordings.