Hua Tang
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huatang.bsky.social
Hua Tang
@huatang.bsky.social
Professor @BNU, studying neural circuit mechanisms of reinforcement learning and working memory.
https://www.huatang.us/
https://scholar.google.com/citations?hl=en&user=vLO5GgsAAAAJ
You can also find information about my previous work here: scholar.google.com/citations?hl.... (3/3)
scholar.google.com
May 29, 2025 at 12:24 PM
underlying high-level cognition in both macaques and humans.
I am currently seeking to recruit highly motivated postdocs in the fields of systems and computational neuroscience.
If you are interested, please reach out to me at hua.tang@outlook.com. (2/3)
May 29, 2025 at 12:24 PM
Congrats, Feiyang!
January 3, 2025 at 3:45 PM
Thank you, Feiyang!😄
November 23, 2024 at 12:32 AM
The most exciting part comes from the network dynamics analysis, which used simultaneously recorded ensembles from four areas. We found that information about token updating flows from the OFC to VS through MDt. I hope you enjoy reading it.
We'd be grateful for your feedback! 😄
November 21, 2024 at 1:27 PM
We found each area uniquely contributed to encoding token gains and losses. Specifically, the orbitofrontal cortex (OFC) and mediodorsal thalamus (MDt) encoded gains and losses linearly, the ventral striatum (VS) encoded gains, and the amygdala (AMY) encoded the salience of values.
November 21, 2024 at 1:27 PM
In this study, monkeys learned to select options that would allow them to gain tokens and avoid options that would cause them to lose tokens.
November 21, 2024 at 1:27 PM