Wolfgang Holoch
Papers
1
Total Citations
2
H-Index
1
About
Wolfgang Holoch is a researcher whose work sits at the intersection of computational neuroscience and autonomous robotics, with a particular focus on neural field theory. His most cited paper, "Neural fields for complex behavior generation on autonomous robots" (2009), has garnered 2 citations and presents a compelling case study in which a mobile robot equipped with sonars and a laser scanner uses dynamic neural fields to produce adaptive, complex navigation behaviors. This contribution is notable for demonstrating how continuous, distributed neural representations can bridge the gap between low-level sensor data and high-level behavioral decisions, offering a biologically inspired alternative to traditional control architectures. Holoch’s research explores how neural fields can generate robust, real-time responses in autonomous systems, potentially influencing fields like cognitive robotics and embodied AI. While his citation count is modest, his work represents a focused, principled approach to understanding how neural dynamics can underpin intelligent action in machines, making him a thoughtful contributor to the ongoing dialogue between neuroscience and robotics.
Research Focus
Key Achievements
Top Papers
- 1Neural fields for complex behavior generation on autonomous robots2 citations · 2009