Hannah Pulferer

About

Hannah Pulferer is a leading researcher in the field of non-invasive brain-computer interfaces (BCIs), with a primary focus on decoding human motor intention and error processing for advanced prosthetic control. Her work centers on developing EEG-based frameworks that continuously detect goal-directed movements and error-related potentials (ErrPs), enabling more intuitive and adaptive control of artificial limbs. Pulferer’s major contributions include establishing foundational methodologies for the continuous decoding of hand and arm movement intention, as well as demonstrating the feasibility of using ErrPs for real-time error correction in closed-loop tasks. Her most cited paper, “Feel Your Reach” (22 citations), synthesizes six years of ERC-funded research, outlining the core technology and knowledge for kinesthetic feedback-informed artificial arm control. A second key work (8 citations) explores the neural correlates of error processing during continuous 2D tracking, advancing the practical application of ErrPs in BCI systems. Pulferer’s research has significant implications for restoring motor function in individuals with paralysis or amputation, bridging the gap between neural signals and seamless, adaptive robotic control. Her achievements highlight her role at the forefront of next-generation, human-centered BCI technology.

Research Focus

Key Achievements

Top Papers

1. 1
   Feel Your Reach: An EEG-Based Framework to Continuously Detect Goal-Directed Movements and Error Processing to Gate Kinesthetic Feedback Informed Artificial Arm Control

   22 citations · 2022
2. 2
   Continuous error processing during a closed-loop 2D tracking task

   8 citations · 2022

Key Collaborators

Contact & Links