Research
Find research shared by the Owlstown community.
A Self-Synthesis Approach to Perceptual Learning for Multisensory Fusion in Robotics
Abstract
Biological and technical systems operate in a rich multimodal environment. Due to the diversity of incoming sensory streams a system perceives and the variety of motor capabilities a system exhibits there is no single representation and...
Publication · September 03, 2025
Musculoskeletal Robots: Scalability in Neural Control
Abstract
Anthropomimetic robots sense, behave, interact, and feel like humans. By this definition, they require human-like physical hardware and actuation but also brain-like control and sensing. The most self-evident realization to meet those r...
Publication · September 03, 2025
Asynchronous Event-based Cooperative Stereo Matching Using Neuromorphic Silicon Retinas
Abstract
Biologically-inspired event-driven silicon retinas, so called dynamic vision sensors (DVS), allow efficient solutions for various visual perception tasks, e.g. surveillance, tracking, or motion detection. Similar to retinal photorecepto...
Publication · September 03, 2025
Hebbian Plasticity Realigns Grid Cell Activity with External Sensory Cues in Continuous Attractor Models
Abstract
After the discovery of grid cells, which are an essential component to understand how the mammalian brain encodes spatial information, three main classes of computational models were proposed in order to explain their working principles...
Publication · September 03, 2025
Recognising Gait Patterns of People in Risk of Falling with a Multi-layer Perceptron
Publication · September 03, 2025
Obstacle Avoidance and Target Acquisition for Robot Navigation Using a Mixed Signal Analog/Digital Neuromorphic Processing System
Abstract
Neuromorphic hardware emulates dynamics of biological neural networks in electronic circuits offering an alternative to the von Neumann computing architecture that is low-power, inherently parallel, and event-driven. This hardware allow...
Publication · September 03, 2025
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