Papers
12
Total Citations
4,750
H-Index
9
About
Wolfgang Maass is a pioneering figure in computational neuroscience and neurorobotics, best known for his groundbreaking work on real-time neural computation and morphological computation. His seminal 2002 paper, "Real-Time Computing Without Stable States," with over 4,000 citations, introduced the liquid state machine framework, revolutionizing how we understand the brain's ability to process continuous sensory streams through recurrent circuits of spiking neurons. This work established a new paradigm for neural computation, demonstrating how transient dynamics, rather than stable states, enable rapid, real-time processing. Maass further advanced the field by exploring how compliant bodies and feedback loops in robots can simplify control—a concept he termed "morphological computation." His research bridges theoretical foundations and practical applications, including biologically inspired kinematic synergies for balance control in humanoid robots and movement generation using generic neural microcircuits. With over 4,600 total citations across his most-cited works, Maass has profoundly influenced both computational neuroscience and robotics, offering elegant solutions to complex problems in motor control and embodied intelligence.
Research Focus
Key Achievements
Top Papers
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- 3The role of feedback in morphological computation with compliant bodies119 citations · 2012
- 4Movement Generation with Circuits of Spiking Neurons77 citations · 2005
- 5Fast approximation algorithms for a nonconvex covering problem44 citations · 1987
- 6Movement Generation and Control with Generic Neural Microcircuits43 citations · 2004
- 7Learning complex motions by sequencing simpler motion templates37 citations · 2009
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