53 citations · 297 across the 55 of their papers we have counts for
8 papers · 1 filter
A Parameter-free Adaptive Resonance Theory-based Topological Clustering Algorithm Capable of Continual Learning
Naoki Masuyama, Takanori Takebayashi, Yusuke Nojima +3
In general, a similarity threshold (i.e., a vigilance parameter) for a node learning process in Adaptive Resonance Theory (ART)-based algorithms has a significant impact on cluster…
Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives
Junpei Zhong, Angelo Cangelosi, Stefan Wermter
The acquisition of symbolic and linguistic representations of sensorimotor behavior is a cognitive process performed by an agent when it is executing and/or observing own and other…
Crossmodal Language Grounding in an Embodied Neurocognitive Model
Stefan Heinrich, Yuan Yao, Tobias Hinz +5
Human infants are able to acquire natural language seemingly easily at an early age. Their language learning seems to occur simultaneously with learning other cognitive functions a…
Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks
Sayantan Auddy, Sven Magg, Stefan Wermter
The complexity of bipedal locomotion may be attributed to the difficulty in synchronizing joint movements while at the same time achieving high-level objectives such as walking in…
On the role of neurogenesis in overcoming catastrophic forgetting
German I. Parisi, Xu Ji, Stefan Wermter
Lifelong learning capabilities are crucial for artificial autonomous agents operating on real-world data, which is typically non-stationary and temporally correlated. In this work,…
A Deep Neural Model Of Emotion Appraisal
Pablo Barros, Emilia Barakova, Stefan Wermter
Emotional concepts play a huge role in our daily life since they take part into many cognitive processes: from the perception of the environment around us to different learning pro…