SYMPOSIUM ON COGNITIVE AUDITORY NEUROSCIENCE (SCAN)

认知听觉神经科学研讨会（扫描）

• 批准号: 10078266
• 负责人: Bharath Chandrasekaran
• 金额: $ 0.18万
• 依托单位: CARNEGIE-MELLON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10078266
• 关键词: Academia; Acoustics; Address; Affect; Americas; Animal Model; Atmosphere; Attention; Auditory; Auditory Perception; BRAIN initiative; Base of the Brain; Basic Science; Behavioral; Big Data Methods; Brain; Clinical; Cognitive; Communication; Communication impairment; Communities; Complex; Development; Disabled Persons; Disease; Ear; Educational workshop; Elements; Environment; Eye; Fertilization; Fostering; Funding; Geographic Locations; Goals; Growth; Hearing; Home; Human; Industry; Influentials; Institutes; Joint Ventures; Learning; Life; Machine Learning; Memory; Methodology; Methods; Mission; Natural Language Processing; Neurobiology; Neurosciences; Neurosciences Research; Otolaryngology; Participant; Perception; Peripheral; Problem Solving; Process; Request for Applications; Research; Research Personnel; Science; Scientist; Seeds; Sensory; Societies; Speech; Thinking; Training; Translational Research; Translations; Underrepresented Minority; United States National Institutes of Health; Universities; Woman; Work; analytical tool; base; career; cognitive neuroscience; deafness; industry partner; innovation; interest; meetings; millisecond; neuroimaging; new technology; next generation; novel; open data; posters; pressure; relating to nervous system; sensory input; sound; speech recognition; symposium; virtual reality

PROJECT SUMMARY/ABSTRACT In recent years, human cognitive auditory neuroscience has made rapid strides due to advances in human neuroimaging, the advent of innovative machine learning/big data analytic approaches, and a greater mechanistic understanding of cognitive-sensory interactions in animal models. The dynamic landscape of this emergent field necessitates a highly interdisciplinary, human and translation-centric symposium that brings together expertise across academia and industry. This application requests partial funding for the Symposium on Cognitive Auditory Neuroscience (SCAN) to be hosted in Pittsburgh, PA in July 2020 and 2022, as a joint venture between Carnegie Mellon University (CMU) and University of Pittsburgh (Pitt). As a biennial meeting, SCAN aims to become the premiere intellectual and professional venue for current research in the emerging field of human cognitive auditory neuroscience. SCAN will incorporate elements typical to academic conferences (research talks, posters) as well as novel ideas that promote ‘blue sky’ thinking in this rapidly evolving field. SCAN will assiduously and innovatively work towards inclusivity and creating an atmosphere that encourages intellectual and professional engagement from women, underrepresented minorities, and individuals with disabilities. Another critical aim of the SCAN is to foster industry-academic partnerships with an eye towards translation of basic research and fostering career opportunities for trainees. Pittsburgh is uniquely situated to launch SCAN. With an enviable concentration of co-located auditory neuroscience expertise, Pittsburgh is also an intellectual hub for industries/start-ups engaged in in machine learning, natural language processing, and speech recognition. SCAN will leverage these advantages to foster growth and innovation tied to core missions of the National Institutes of Deafness and Communication Disorders.

项目概要/摘要 近年来，由于人类认知科学的进步，人类认知听觉神经科学取得了快速进展。 神经影像学、创新机器学习/大数据分析方法的出现以及更大的 对动物模型中认知-感觉相互作用的机械理解。这个动态景观 新兴领域需要一个高度跨学科、以人为本、以翻译为中心的研讨会， 汇集学术界和工业界的专业知识。此申请要求为研讨会提供部分资金 关于认知听觉神经科学 (SCAN) 的会议将于 2020 年 7 月和 2022 年在宾夕法尼亚州匹兹堡举办，作为联合会议 卡内基梅隆大学 (CMU) 和匹兹堡大学 (Pitt) 之间的合资企业。作为两年一次的会议， SCAN 旨在成为新兴领域当前研究的首要知识和专业场所 人类认知听觉神经科学领域。 SCAN 将纳入学术会议的典型元素 （研究讲座、海报）以及在这个快速发展的领域促进“蓝天”思维的新颖想法。 SCAN将孜孜不倦地、创新地努力实现包容性，营造鼓励的氛围 女性、代表性不足的少数族裔和有残疾的个人的智力和专业参与 残疾。 SCAN 的另一个重要目标是促进行业与学术界的合作，着眼于 翻译基础研究并为学员创造就业机会。匹兹堡地理位置得天独厚 启动扫描。匹兹堡拥有令人羡慕的听觉神经科学专业知识集中地， 从事机器学习、自然语言处理和相关行业/初创企业的知识中心 语音识别。 SCAN 将利用这些优势促进与核心使命相关的增长和创新 美国国家耳聋和沟通障碍研究所。