Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Minija Tamosiunaite"'
Autor:
Rosari Naveena Selvan, Minghao Cheng, Sophie Siestrup, Falko Mecklenbrauck, Benjamin Jainta, Jennifer Pomp, Anoushiravan Zahedi, Minija Tamosiunaite, Florentin Wörgötter, Ricarda I. Schubotz
Publikováno v:
NeuroImage, Vol 296, Iss , Pp 120687- (2024)
Even though actions we observe in everyday life seem to unfold in a continuous manner, they are automatically divided into meaningful chunks, that are single actions or segments, which provide information for the formation and updating of internal pr
Externí odkaz:
https://doaj.org/article/d230d796d1474dd0a18f591a7243edd4
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 3, p e1011926 (2024)
In many situations it is behaviorally relevant for an animal to respond to co-occurrences of perceptual, possibly polymodal features, while these features alone may have no importance. Thus, it is crucial for animals to learn such feature combination
Externí odkaz:
https://doaj.org/article/078fcdd8897c463d9a9a46a33f252c8d
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 43, Iss spec. (2003)
Methods for forecasting of Lithuanian gross domestic product (GDP) are analyzed. Prognoses obtained by means of linear models and artificial neural networks are compared.
Externí odkaz:
https://doaj.org/article/400cea5456ab40debfde0595844efafd
Publikováno v:
Frontiers in Neurorobotics, Vol 17 (2023)
Traditional AI-planning methods for task planning in robotics require a symbolically encoded domain description. While powerful in well-defined scenarios, as well as human-interpretable, setting this up requires a substantial effort. Different from t
Externí odkaz:
https://doaj.org/article/10e694ab71d746859cbeb6fad72d88d5
Publikováno v:
Frontiers in Computational Neuroscience, Vol 17 (2023)
An understanding of deep neural network decisions is based on the interpretability of model, which provides explanations that are understandable to human beings and helps avoid biases in model predictions. This study investigates and interprets the m
Externí odkaz:
https://doaj.org/article/bdba24d06a084bacbba2c6daf002e9ba
Autor:
Konstantin Möller, David Kappel, Minija Tamosiunaite, Christian Tetzlaff, Bernd Porr, Florentin Wörgötter
Publikováno v:
PLoS ONE, Vol 17, Iss 5, p e0266679 (2022)
Spike timing-dependent plasticity, related to differential Hebb-rules, has become a leading paradigm in neuronal learning, because weights can grow or shrink depending on the timing of pre- and post-synaptic signals. Here we use this paradigm to redu
Externí odkaz:
https://doaj.org/article/d0186871c3e4426bace9d06282045fbb
Autor:
Jennifer Pomp, Nina Heins, Ima Trempler, Tomas Kulvicius, Minija Tamosiunaite, Falko Mecklenbrauck, Moritz F. Wurm, Florentin Wörgötter, Ricarda I. Schubotz
Publikováno v:
NeuroImage, Vol 243, Iss , Pp 118534- (2021)
Recognizing the actions of others depends on segmentation into meaningful events. After decades of research in this area, it remains still unclear how humans do this and which brain areas support underlying processes. Here we show that a computer vis
Externí odkaz:
https://doaj.org/article/91adc5a3d71c4fb7894498c99116bf9d
Publikováno v:
Frontiers in Neurorobotics, Vol 14 (2021)
Path planning plays a crucial role in many applications in robotics for example for planning an arm movement or for navigation. Most of the existing approaches to solve this problem are iterative, where a path is generated by prediction of the next s
Externí odkaz:
https://doaj.org/article/c193f2b3b3794d008b76a340b1e3d019
Autor:
Fatemeh Ziaeetabar, Jennifer Pomp, Stefan Pfeiffer, Nadiya El-Sourani, Ricarda I Schubotz, Minija Tamosiunaite, Florentin Wörgötter
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0243829 (2020)
Predicting other people's upcoming action is key to successful social interactions. Previous studies have started to disentangle the various sources of information that action observers exploit, including objects, movements, contextual cues and featu
Externí odkaz:
https://doaj.org/article/8a26bef840ab41299f49a392c2fb68fd
Autor:
Sromona Chatterjee, Timo Nachstedt, Minija Tamosiunaite, Florentin Wörgötter, Yoshihide Enomoto, Ryo Ariizumi, Fumitoshi Matsuno, Poramate Manoonpong
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 12 (2015)
Motor primitives provide a modular organization to complex behaviours in both vertebrates and invertebrates. Inspired by this, here we generate motor primitives for a complex snake-like robot with screw-drive units, and thence chain and combine them,
Externí odkaz:
https://doaj.org/article/ce7234c0cdab4e87ad08ffa6bb192b21