Perceived and Imagined Speech: Decoding Meaning with Jerry Tang

How can we decode the meaning of the speech we hear or imagine? In this episode of the Neurocareers Podcast BCI Award series, we explore the groundbreaking work of Jerry Tang and a team of colleagues from Dr. Alexander Huths's Lab, a nominee for the International BCI Award. His research, published in Nature Neuroscience, introduces a non-invasive brain-computer interface (BCI) that can decode continuous language from functional magnetic resonance imaging (fMRI).

This innovative decoder can interpret the meaning of perceived speech, imagined speech, and even silent videos, showcasing a significant leap forward in BCI technology. Jerry's work demonstrates that continuous language can be decoded from multiple brain regions by recording cortical semantic representations. Jerry discusses mental privacy in BCI applications.

Join us as Jerry Tang shares insights from his BCI Award-nominated project, his career journey, and valuable advice for aspiring scientists and those aiming to succeed in their BCI Award submissions. Whether you're fascinated by neuroscience, intrigued by BCI technology, or looking for inspiration in your career, this episode is packed with valuable knowledge and insights.

The International BCI Award is back and bigger than ever! If you're working on pioneering BCI research, don't miss your chance to gain international recognition. With a total endowment of $6,000 USD and opportunities to publish and present your work globally, this is an opportunity to shine at the forefront of neuroscience innovation.

For more details on submission and criteria, visit BCI Award Submission Information: https://www.bci-award.com/Home

Tune in to discover how Jerry Tang is breaking new ground in decoding the human brain!

 

About the Podcat Guest:

Jerry Tang is a Ph.D. student in Computer Science at UT Austin, working with Alex Huth. His research focuses on modeling and decoding brain responses during language processing and understanding how language relates to other cognitive processes, such as vision.

The link to the article in Nature Neuroscience: https://www.nature.com/articles/s41593-023-01304-9

Learn more about the HuthLab at the University of Texas in Austin: https://www.cs.utexas.edu/~huth/index.html

 

About the Podcat Host:

The Neurocareers podcast is brought to you by The Institute of Neuroapproaches (https://www.neuroapproaches.org/) and its founder, Milena Korostenskaja, Ph.D. (Dr. K), a neuroscience educator, research consultant, and career coach for people in neuroscience and neurotechnologies. As a professional coach with a background in the field, Dr. K understands the unique challenges and opportunities job applicants face in this field and can provide personalized coaching and support to help you succeed.

Here's what you'll get with one-on-one coaching sessions from Dr. K:

• Identification and pursuit of career goals
• Guidance on job search strategies, resume, and cover letter development
• Neurotech / neuroscience job interview preparation and practice
• Networking strategies to connect with professionals in the field of neuroscience and neurotechnologies
• Ongoing support and guidance to help you stay on track and achieve your goals

You can always schedule a free neurocareer consultation/coaching session with Dr. K at https://neuroapproaches.as.me/free-neurocareer-consultation

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