{"id":973,"date":"2010-08-11T15:10:30","date_gmt":"2010-08-11T06:10:30","guid":{"rendered":"http:\/\/www.cns.atr.jp\/"},"modified":"2024-09-17T08:53:00","modified_gmt":"2024-09-16T23:53:00","slug":"cns","status":"publish","type":"page","link":"https:\/\/bicr.atr.jp\/en\/home-3\/cns\/","title":{"rendered":"CNS"},"content":{"rendered":"<p><span style=\"font-size: large;\"><strong>Computational Neuroscience Laboratories<\/strong> <\/span><\/p>\n<p><span style=\"font-size: small;\">\uff5eToward understanding brain function using a computational approach\uff5e<\/span><\/p>\n<p><span style=\"font-size: small;\">We aim to understand the brain function through computational neuroscience and to develop a Brain Machine Interface (BMI) for recovery of motor functions in humans as\u00a0technology for IT and clinical applications.<\/span><\/p>\n<table border=\"0\">\n<tbody>\n<tr>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><a href=\"https:\/\/bicr.atr.jp\/dni\/?lang=en\"><span style=\"color: #993300;\"><strong>Department of Neuroinformatics(DNI)<\/strong><\/span><\/a><\/p>\n<p><strong>Decoding brain signals<br \/>\n<\/strong>Neural decoding allows us to predict mental content from measured brain signals. Our group is developing computational techniques to decode human brain signals and study information coding in the human brain. Our goal is to establish novel<br \/>\ncommunication technology that directly connects the brain and machines using decoded neural information.<br \/>\n\u25cfFrom mind-reading to brain-machine interfaces<br \/>\nBrain signals can be seen as \u2018codes\u2019 that encode our mental experiences. To decipher them, we combine neuroscience and machine learning methods. We are developing decoding techniques that capture the subtlety of our mental experiences and apply them to build brain-machine interfaces that control machines using decoded information.<\/p>\n<table border=\"0\">\n<tbody>\n<tr>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><a href=\"https:\/\/bicr.atr.jp\/bri\/en\/\"><span style=\"color: #ff9900;\"><strong>Department of Brain Robot Interface(BRI)<\/strong><\/span><\/a><\/p>\n<p><strong>Connecting a brain with a robot<\/strong><br \/>\nThe goal of our study is to control robots by thoughts in the brain. This study is expected to contribute to the connection of humans and robots as a future telecommunication device and to the development of an assistive device for the recovery of<br \/>\nmotor functions in humans. We aim to understand brain mechanisms especially those of motor control.<br \/>\n\u25cfDevelopment of a robotic assistive device using brain activity<br \/>\nThe goal of our study is to control an exoskeleton and\/or a humanoid robot using brain activity. A non-invasive device to detect brain activity can only provide a limited amount of information. Therefore, we are developing a suitable autonomous controller that can complement the detected brain activity.<\/p>\n<table border=\"0\">\n<tbody>\n<tr>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"color: #ff0000;\"><a href=\"https:\/\/bicr.atr.jp\/decnef\/en\/\"><span style=\"color: #ff0000;\"><strong>Department of Decoded Neurofeedback(DecNef)<\/strong><\/span><\/a><\/span><\/p>\n<p><strong>Research and Application for Decoded fMRI Neurofeedback<\/strong><br \/>\nWe integrate psychophysical, neuroimaging, and computational approaches and apply the decoded neurofeedback(DecNef) method to BMI, medical treatment, and communication technology.<br \/>\n\u25cfA New Approach in Neuroscience: DecNef Method<br \/>\nWe have developed the decoded neurofeedback (DecNef)method to induce a targeted brain activity pattern in a targeted brain region. Our long-term goal is to clarify the brain mechanism and to establish a new clinical framework in which to treat disease.<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/bicr.atr.jp\/qstr\/en\/\"><strong><span style=\"background-color: #ffffff;\"><span style=\"color: #ff00ff;\">Department of Qualia Structures(QStr)<\/span><\/span><\/strong><\/a><\/p>\n<div><strong>The Exploration of Consciousness and Humanity<\/strong><\/div>\n<div>How are qualia, qualitative aspects of consciousness, and the brain related?\u00a0 To address this issue, we focus on the relationships of qualia, aiming to clarify the structure of qualia, the structure of brain information, and the structural relationships between them.<br \/>\n\u25cfWe will combine large-scale online psychological experiments with mathematical (category theory) approaches to elucidate the structure of qualia.<\/div>\n<div>\u25cfBy incorporating insights from phenomenology in philosophy, we will explore how qualia structures composed of various modalities are related.<br \/>\n\u25cfWe will clarify how these qualia structures develop in humans by incorporating methods from cognitive development.<br \/>\n\u25cfThrough brain imaging and brain stimulation, we will approach the causal mechanisms of qualia structures.<br \/>\n\u25cfUsing constructive methods, we will create and understand qualia structures by implementing them in communicative robots and AI.<\/div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Computational Neuroscience Laboratories \uff5eToward understanding brain function using a computational approach\uff5e We aim to understand the brain function through computational neuroscience and to develop a Brain Machine Interface (BMI) for recovery of motor functions in humans as\u00a0technology for IT and clinical applications. Department of Neuroinformatics(DNI) Decoding brain signals Neural decoding allows us to predict mental content from measured brain signals. Our group is developing computational techniques to decode human brain signals and study information coding in the human brain. Our goal is to establish novel communication technology that directly connects the brain and machines using decoded neural information. \u25cfFrom mind-reading to brain-machine interfaces Brain signals can be seen as \u2018codes\u2019 [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":1978,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-973","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/bicr.atr.jp\/en\/wp-json\/wp\/v2\/pages\/973","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bicr.atr.jp\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bicr.atr.jp\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bicr.atr.jp\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/bicr.atr.jp\/en\/wp-json\/wp\/v2\/comments?post=973"}],"version-history":[{"count":29,"href":"https:\/\/bicr.atr.jp\/en\/wp-json\/wp\/v2\/pages\/973\/revisions"}],"predecessor-version":[{"id":3073,"href":"https:\/\/bicr.atr.jp\/en\/wp-json\/wp\/v2\/pages\/973\/revisions\/3073"}],"up":[{"embeddable":true,"href":"https:\/\/bicr.atr.jp\/en\/wp-json\/wp\/v2\/pages\/1978"}],"wp:attachment":[{"href":"https:\/\/bicr.atr.jp\/en\/wp-json\/wp\/v2\/media?parent=973"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}