Wolfgang Holoch

Universität Ulm

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

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Neural fields for complex behavior generation on autonomous robots
2 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Universität Ulm

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago