320 citations · 406 across the 13 of their papers we have counts for
14 papers
A Bio-mimetic Neuromorphic Model for Heat-evoked Nociceptive Withdrawal Reflex in Upper Limb
Fengyi Wang, J. Rogelio Guadarrama Olvera, Nitish Thako +1
The nociceptive withdrawal reflex (NWR) is a mechanism to mediate interactions and protect the body from damage in a potentially dangerous environment. To better convey warning sig…
Improving Intention Detection in Single-Trial Classification through Fusion of EEG and Eye-tracker Data
Xianliang Ge, Yunxian Pan, Sujie Wang +5
Intention decoding is an indispensable procedure in hands-free human-computer interaction (HCI). Conventional eye-tracking system using single-model fixation duration possibly issu…
Spatio-temporal encoding improves neuromorphic tactile texture classification
Anupam K. Gupta, Andrei Nakagawa, Nathan F. Lepora +1
With the increase in interest in deployment of robots in unstructured environments to work alongside humans, the development of human-like sense of touch for robots becomes importa…
Cognitive State Analysis, Understanding, and Decoding from the Perspective of Brain Connectivity
Junhua Li, Anastasios Bezerianos, Nitish Thakor
Cognitive states are involving in our daily life, which motivates us to explore them and understand them by a vast variety of perspectives. Among these perspectives, brain connecti…
Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM
Rohan Ghosh, Siyi Tang, Mahdi Rasouli +2
Neuromorphic image sensors produce activity-driven spiking output at every pixel. These low-power consuming imagers which encode visual change information in the form of spikes hel…
Spatiotemporal Filtering for Event-Based Action Recognition
Rohan Ghosh, Anupam Gupta, Andrei Nakagawa +2
In this paper, we address the challenging problem of action recognition, using event-based cameras. To recognise most gestural actions, often higher temporal precision is required…
Spatiotemporal Feature Learning for Event-Based Vision
Rohan Ghosh, Anupam Gupta, Siyi Tang +2
Unlike conventional frame-based sensors, event-based visual sensors output information through spikes at a high temporal resolution. By only encoding changes in pixel intensity, th…
Augmented Reality Prosthesis Training Setup for Motor Skill Enhancement
Avinash Sharma, Wally Niu, Christopher L. Hunt +3
Adjusting to amputation can often time be difficult for the body. Post-surgery, amputees have to wait for up to several months before receiving a properly fitted prosthesis. In rec…
Stable Electromyographic Sequence Prediction During Movement Transitions using Temporal Convolutional Networks
Joseph L. Betthauser, John T. Krall, Rahul R. Kaliki +2
Transient muscle movements influence the temporal structure of myoelectric signal patterns, often leading to unstable prediction behavior from movement-pattern classification metho…
The Dynamic Shift of Neuron Excitability Observed with Enveloped High Frequency Stimulation
Jiahui Wang, Hao Wang, Xin Yuan Thow +1
Neuronal excitability is known to be affected by transcranial electrical stimulation. However, due to the existence of both excitatory and inhibitory neurons in the cortex, the mec…
A Static Distributed-parameter Circuit Model Explains Electrical Stimulation on the Neuromuscular System
Jiahui Wang, Hao Wanga, Xin Yuan Thow +1
Finite Element Modeling (FEM) has been widely used to model the electric field distribution, to study the interaction between stimulation electrodes and neural tissue. However, due…
Unveiling Stimulation Secrets of Electrical Excitation of Neural Tissue Using a Circuit Probability Theory
Hao Wang, Jiahui Wang, Xin Yuan Thow +6
A new theory, named the Circuit-Probability theory, is proposed to unveil the secret of electrical nerve stimulation, essentially explain the nonlinear and resonant phenomena obser…
HFirst: A Temporal Approach to Object Recognition
Garrick Orchard, Cedric Meyer, Ralph Etienne-Cummings +3
This paper introduces a spiking hierarchical model for object recognition which utilizes the precise timing information inherently present in the output of biologically inspired as…
Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades
Garrick Orchard, Ajinkya Jayawant, Gregory Cohen +1
Creating datasets for Neuromorphic Vision is a challenging task. A lack of available recordings from Neuromorphic Vision sensors means that data must typically be recorded specific…