activity
20162023
most citedA Unifying Framework for the Identification of Motor Primitives

9 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Multi-Domain Norm-referenced Encoding Enables Data Efficient Transfer Learning of Facial Expression Recognition

Michael Stettler, Alexander Lappe, Nick Taubert +1

People can innately recognize human facial expressions in unnatural forms, such as when depicted on the unusual faces drawn in cartoons or when applied to an animal's features. How…

cs.LG2021★ 1 cited

Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification

Jana Lang, Martin A. Giese, Matthis Synofzik +2

Motor disturbances can affect the interaction with dynamic objects, such as catching a ball. A classification of clinical catching trials might give insight into the existence of p…

cs.RO2021

Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses

Alessandro Salatiello, Martin A. Giese

State-of-the-art motorized hand prostheses are endowed with actuators able to provide independent and proportional control of as many as six degrees of freedom (DOFs). The control…

q-bio.NC2020★ 2 cited

Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data

Alessandro Salatiello, Martin A. Giese

Recurrent Neural Networks (RNNs) are popular models of brain function. The typical training strategy is to adjust their input-output behavior so that it matches that of the biologi…

q-bio.NC2016★ 9 cited

A Unifying Framework for the Identification of Motor Primitives

Enrico Chiovetto, Andrea d'Avella, Martin Giese

A long-standing hypothesis in neuroscience is that the central nervous system accomplishes complex motor behaviors through the combination of a small number of motor primitives. Ma…