Personal Page
M. Sc. Salatiello, Alessandro
PhD Student
Contact
5.522a
Section for Computational Sensomotorics
Department of Cognitive Neurology
Hertie Institute for Clinical Brain Research
Centre for Integrative Neuroscience
University Clinic Tübingen
Otfried-Müller-Str. 25
72076 Tübingen, Germany
+497071 2989130
Projects
- Learning Hierarchical Models for Motor Control
- Modeling of human robot interaction and use of humanoid robots for rehabilitation training
- Online Controllable Models of Complex Body Movements for Biomedical Applications
Reviewed Publications
Mukovskiy, A., Hovaidi-Ardestani, M., Salatiello, A., Stettler, M., Vogels, R. & Giese, M. A (2022). Neurophysiologically-inspired computational model of the visual recognition of social behavior and intent . FENS Forum, Paris. [More]
Mukovskiy, A., Hovaidi-Ardestani, M., Salatiello, A., Stettler, M., Vogels, R. & Giese, M. A (2022). Physiologically-inspired neural model for social interaction recognition from abstract and naturalistic videos . VSS Annual Meeting 2022. [More]
Chiovetto, E., Salatiello, A., D'Avella, A. & Giese, M. A. (2022). Toward a unifying framework for the modeling and identification of motor primitives. Frontiers in computational neuroscience, 16 926345. [More]
Giese, M. A., Mukovskiy, A., Hovaidi-Ardestani, M., Salatiello, A. & Stettler, M. (2021). Neurophysiologically-inspired model for social interactions recognition from abstract and naturalistic stimuli. Journal of Vision September 2021, Vol.21, 2434.. [More]
Salatiello, A. & Giese, M. A. (2021). Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses.. Proceedings of the 2021 IEEE International Joint Conference on Neural Networks, 1-8. [More]
Mukovskiy, A., Ardestani, M. H., Salatiello, A., Stettler, M. & Giese, M. A. (2021). Physiologically-inspired neural model for social interactions recognition from abstract and naturalistic stimuli.. Journal of Vision December 2022, Vol.22, 3610. [More]
Salatiello, A. & Giese, M. A. (2021). Unsupervised identification of space-, time-, and action-dependent latent factors underlying muscle activity during reaching. 30th Annual Computational Neuroscience Meeting. [More]
Salatiello, A. & Giese, M. A. (2021). Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses. arXiv preprint. [More]
Salatiello, A., Hovaidi-Ardestani, M. & Giese, M. A. (2021). A Dynamical Generative Model of Social Interactions. Frontiers in Neurorobotics, 15, 62. [More]
Giese, M. A., Mukovskiy, A., Hovaidi-Ardestani, M., Salatiello, A. & Stettler, M (2021). Neurophysiologically-inspired model for social interactions recognition from abstract and naturalistic stimuli. VSS 2021, May 21-26 . [More]
Mukovskiy, A., Ardestani, M. H., Salatiello, A., Stettler, M. & Giese, M. A (2021). Physiologically-inspired neural model for social interactions recognition from abstract and naturalistic stimuli. Göttingen Meeting of the German Neuroscience Society 2021, Germany . [More]
Salatiello, A. & Giese, M. A. (2020). Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data. Artificial Neural Networks and Machine Learning – ICANN 2020 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part I. Springer, Berlin(874-886). [More]
Salatiello, A. & Giese, M. A (2020). Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data. ICANN2020, arXiv:2005.02211v1 [q-bio.NC] . [More]
Salatiello, A. & Giese, M. A (2019). Learning of Generative Neural Network Models for EMG Data Constrained by Cortical Activation Dynamics (A). 29th Meeting of the Society for the Neural Control of Movement; Toyama, Japan . [More]
Salatiello, A. & Giese, M. A (2019). Learning of generative neural network models for EMG data constrained by cortical activation dynamics(B). CNS Conference 2019, 13-17 July, Barcelona, Spain . [More]
Salatiello, A. & Giese, M. A (2019). Learning Central Pattern Generator models for rhythmic activation patterns. In Proceedings : Göttingen Meeting of the German Neuroscience Society 2019, Germany, T23-10C . [More]