NeuroTechX Showcase - Season 2 (Episode 1): Applications (hardware and software) скачать в хорошем качестве

NeuroTechX Showcase - Season 2 (Episode 1): Applications (hardware and software)

This brand new season is dedicated to custom projects from all over Canada, with a special focus on Toronto's community but touching upon projects with multiple partners in North America and beyond. You will see groundbreaking demos and prototypes and learn about new technologies (both hardware and software) related to wearable systems, augmented reality, Brain Computer Interfaces, clinical EEG, arts and body telemetries and much more... Come and learn with us about the devil in the details. Episode 1: Kyle Alsbury-Nealy Virtual reality, augmented reality, artificial intelligence, and low-cost biosensor hardware are revolutionizing the way we interact with the world around us and provide exciting new ways to study human behaviour. However, the technical skills required to engage with these emerging technologies make them inaccessible to many researchers. For this event, Kyle will demonstrate how his start-up, SilicoLabs, is solving this problem with their new Experimenter software. Experimenter offers a no-code experiment design platform capable of creating a wide range of controlled tasks with built-in behavioural and biosensor data collection tools, within a framework designed for interdisciplinary research and collaboration. Bio Kyle is a PhD student at the University of Toronto and co-founder of SilicoLabs. Working in Asaf Gilboa's Cognitive Neuroscience and Memory Lab at the Rotman Research Institute, his research focuses on understanding the cognitive mechanisms that underlie learning and memory in real world environments. To accomplish this, Kyle uses cutting edge techniques including virtual reality (VR), augmented reality (AR), and deep reinforcement learning models (deep RL). After recognizing a need for better research tools, Kyle created OpenMaze, an open source software package for creating desktop virtual environment experiments using the Unity Game Engine. More recently Kyle developed Experimenter, a no-code software package that allows researchers to create a wide range of 2D and 3D tasks that can be administered using desktop computers, mobile devices, and VR/AR headsets; and provides an integrated framework for modeling human behaviour using deep RL. SUBSCRIBE HERE: https://www.crowdcast.io/e/neurotechx...