Computational Neuroscience

计算神经科学

• 批准号: CRC-2018-00162
• 负责人: Zylberberg, Joel
• 金额: $ 8.74万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=695180
• 关键词: Computational; Neuroscience

When you read text, your eyes send signals to your brain, and your brain interprets them to decipher words. Dr. Zylberberg's research identifies the language of this signalling, and the learning mechanisms that shape that language. For example, what patterns of nerve impulses correspond to an a or an e, and how does the brain learn to generate and interpret those patterns? By answering these questions, Zylberberg's work may help treat those with vision and learning deficits. By revealing how the brain learns to process visual information, his work also leads to new artificial intelligence systems that mimic that learning.

当你阅读文本时，你的眼睛会向你的大脑发送信号，你的大脑会解释这些信号来破译单词。Zylberberg博士的研究确定了这种信号的语言，以及塑造这种语言的学习机制。例如，什么样的神经冲动模式对应于a或e，大脑是如何学习产生和解释这些模式的？通过回答这些问题，Zylberberg的工作可能有助于治疗那些视力和学习缺陷的人。通过揭示大脑如何学习处理视觉信息，他的工作也导致了新的人工智能系统，模仿这种学习。