It's an exciting week at IEEE Engineering Medicine and Biology Society #EMBC2021 conference with presentations of our latest work on olfactory perception, brain's reward processing and novel approaches for reconstructing neurophysiological signals using reduced sensors setups. NUS Cognitive Engineering Lab The N.1 Institute for Health (N.1)

Very happy to announce that our paper "Distinct Spatio-temporal and spectral brain patterns...” has now been published in Scientific Reports with collaborative efforts between the TU München, NUS, and Johns Hopkins University. nature.com/articles/s4159…

A demo video summarizing the main findings of our paper published in Scientific Reports - Nature. Link: nature.com/articles/s4159… #eeg #braincomputerinterface #pain #human_robot_interaction #Neuroprosthetics #PainSensation #TactileFeedback

New paper on brain's perception of thermal sensations, out of a great collaboration with Dr Zied Tayeb and Gordon Cheng at TUM, Nitish Thakor JHU Neuroengineering, and Aishwarya Bandla (NUS). NUS Cognitive Engineering Lab The N.1 Institute for Health (N.1) nature.com/articles/s4159…

New work by NUS Cognitive Engineering Lab RA Manuel Seet published in the Accident Analysis & Prevention Journal. Using baseline EEG metrics, we can predict drivers’ average takeover reaction time, as well as the likelihood of accident after takeover in vehicles with conditional automation.

In our latest work published in Brain Sciences we show that olfactory hedonic evaluation modulates functional connectivity in several brain regions and is characterized by significant hemispheric laterality effects. mdpi.com/2076-3425/12/1… NUS Cognitive Engineering Lab The N.1 Institute for Health (N.1)

⚡️Publication Alert⚡️In our latest work we show that olfactory hedonic evaluation modulates functional connectivity among several brain regions and is characterized by significant hemispheric laterality effects. bit.ly/Olfaction The N.1 Institute for Health (N.1) NUS

New publication: we propose an alert-state EEG measure for profiling individuals’ susceptibility to vigilance decrements. Relevant for identifying high-risk drivers and designing interaction systems to enhance automation use NUS Cognitive Engineering Lab The N.1 Institute for Health (N.1) bit.ly/3C2PH7o

Celebrating the end of year with a new publication 🎁🎄 New work now out in IEEE TCDS: bit.ly/3C2PH7o