216 citations · 816 across the 46 of their papers we have counts for
11 papers · 1 filter
Variation is the Norm: Brain State Dynamics Evoked By Emotional Video Clips
Ashutosh Singh, Christiana Westlin, Hedwig Eisenbarth +7
For the last several decades, emotion research has attempted to identify a "biomarker" or consistent pattern of brain activity to characterize a single category of emotion (e.g., f…
Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models
Ahmet Demirkaya, Tales Imbiriba, Kyle Lockwood +5
Modeling biological dynamical systems is challenging due to the interdependence of different system components, some of which are not fully understood. To fill existing gaps in our…
Efficient Modeling of Morphing Wing Flight Using Neural Networks and Cubature Rules
Paul Ghanem, Yunus Bicer, Deniz Erdogmus +1
Fluidic locomotion of flapping Micro Aerial Vehicles (MAVs) can be very complex, particularly when the rules from insect flight dynamics (fast flapping dynamics and light wings) ar…
Circular-Symmetric Correlation Layer based on FFT
Bahar Azari, Deniz Erdogmus
Despite the vast success of standard planar convolutional neural networks, they are not the most efficient choice for analyzing signals that lie on an arbitrarily curved manifold,…
Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks
Ozan Ozdenizci, Deniz Erdogmus
Feature ranking and selection is a widely used approach in various applications of supervised dimensionality reduction in discriminative machine learning. Nevertheless there exists…
From Hand-Perspective Visual Information to Grasp Type Probabilities: Deep Learning via Ranking Labels
Mo Han, Sezen Ya{ğ}mur Günay, İlkay Yıldız +5
Limb deficiency severely affects the daily lives of amputees and drives efforts to provide functional robotic prosthetic hands to compensate this deprivation. Convolutional neural…
HANDS: A Multimodal Dataset for Modeling Towards Human Grasp Intent Inference in Prosthetic Hands
Mo Han, Sezen Ya{ğ}mur Günay, Gunar Schirner +2
Upper limb and hand functionality is critical to many activities of daily living and the amputation of one can lead to significant functionality loss for individuals. From this per…
EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks
Ozan Ozdenizci, Safaa Eldeeb, Andac Demir +2
During daily activities, humans use their hands to grasp surrounding objects and perceive sensory information which are also employed for perceptual and motor goals. Multiple corti…
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals
Ozan Ozdenizci, Deniz Erdogmus
Recent promises of generative deep learning lately brought interest to its potential uses in neural engineering. In this paper we firstly review recently emerging studies on genera…
NetCut: Real-Time DNN Inference Using Layer Removal
Mehrshad Zandigohar, Deniz Erdogmus, Gunar Schirner
Deep Learning plays a significant role in assisting humans in many aspects of their lives. As these networks tend to get deeper over time, they extract more features to increase ac…
Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand
Mehrshad Zandigohar, Mo Han, Deniz Erdogmus +1
For lower arm amputees, prosthetic hands promise to restore most of physical interaction capabilities. This requires to accurately predict hand gestures capable of grabbing varying…