Ching-Lung Hsu
@hiallen72.bsky.social
Neuroscientist @ Academia Sinica, NPAS, IBMS; National Taiwan University LS | In search of Biophysics-informed neural and behavioral algorithms | Hippocampus, Memory, Neural code for space and time
on X
https://x.com/hiallen72?s=21&t=WrQo8yo4jXdkrU8t8qeRRw
on X
https://x.com/hiallen72?s=21&t=WrQo8yo4jXdkrU8t8qeRRw
Pinned
Ching-Lung Hsu
@hiallen72.bsky.social
· Jul 29
Incredible scientific journey when Blake is here! @tyrellturing.bsky.social
Also incredible that two persona in AI and brain on the two sides of the Earth echoed each other about biological learning rule. #NeuroAI
Also incredible that two persona in AI and brain on the two sides of the Earth echoed each other about biological learning rule. #NeuroAI
Reposted by Ching-Lung Hsu
There was never any point to having reference letters. That's why we've all started using AI to do this nonesense task.
References should only be used for short-listed candidates for important positions/awards, and ideally, be done via a call to get the most honest opinion possible.
References should only be used for short-listed candidates for important positions/awards, and ideally, be done via a call to get the most honest opinion possible.
From my discussions with other faculty, the use of generative AI I hear about the most is writing reference letters.
What's the point of having reference letters anymore if everyone is just having them written by machine?
What's the point of having reference letters anymore if everyone is just having them written by machine?
November 14, 2025 at 7:10 PM
There was never any point to having reference letters. That's why we've all started using AI to do this nonesense task.
References should only be used for short-listed candidates for important positions/awards, and ideally, be done via a call to get the most honest opinion possible.
References should only be used for short-listed candidates for important positions/awards, and ideally, be done via a call to get the most honest opinion possible.
Reposted by Ching-Lung Hsu
This raises what I like to call the "AI test for tasks".
If many people use AI to do task X, then that tells you that task X is actually just a brainless administrative exercise.
Any such task should probably be eliminated, and if that's not an option, modified to make automation even easier.
If many people use AI to do task X, then that tells you that task X is actually just a brainless administrative exercise.
Any such task should probably be eliminated, and if that's not an option, modified to make automation even easier.
There was never any point to having reference letters. That's why we've all started using AI to do this nonesense task.
References should only be used for short-listed candidates for important positions/awards, and ideally, be done via a call to get the most honest opinion possible.
References should only be used for short-listed candidates for important positions/awards, and ideally, be done via a call to get the most honest opinion possible.
From my discussions with other faculty, the use of generative AI I hear about the most is writing reference letters.
What's the point of having reference letters anymore if everyone is just having them written by machine?
What's the point of having reference letters anymore if everyone is just having them written by machine?
November 14, 2025 at 7:14 PM
This raises what I like to call the "AI test for tasks".
If many people use AI to do task X, then that tells you that task X is actually just a brainless administrative exercise.
Any such task should probably be eliminated, and if that's not an option, modified to make automation even easier.
If many people use AI to do task X, then that tells you that task X is actually just a brainless administrative exercise.
Any such task should probably be eliminated, and if that's not an option, modified to make automation even easier.
Reposted by Ching-Lung Hsu
Dopamine ≠ reward but turns out, also not the learning molecule we thought.
If DA RPE is the emperor, this work SCREAMS it was running naked all the time.
This paper got quite some attention recently. Let's simplify it a bit.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
If DA RPE is the emperor, this work SCREAMS it was running naked all the time.
This paper got quite some attention recently. Let's simplify it a bit.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
October 30, 2025 at 11:36 AM
Dopamine ≠ reward but turns out, also not the learning molecule we thought.
If DA RPE is the emperor, this work SCREAMS it was running naked all the time.
This paper got quite some attention recently. Let's simplify it a bit.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
If DA RPE is the emperor, this work SCREAMS it was running naked all the time.
This paper got quite some attention recently. Let's simplify it a bit.
A🧵with my toy model and notes:
#neuroskyence #compneuro #NeuroAI
IBMS is an eclectic international research institute. Director Echo Chern is also the Director of the national Brain Technology Office, who cares a lot about NeuroAI, BiomedAI and our flagship Taiwan Precision Medicine Initiative (TPMI). #TPMI #NeuroAI
jobs.sciencecareers.org/job/675710/t...
jobs.sciencecareers.org/job/675710/t...
Tenure-Track Faculty Position, Institute of Biomedical Sciences, Academia Sinica, Taiwan - Taipei, TW-a vibrant city blending modern innovation, rich culture, and convenient transportation. job with I...
We are looking for candidates pursuing curiosity-driven basic and translational research.
jobs.sciencecareers.org
November 10, 2025 at 12:51 AM
IBMS is an eclectic international research institute. Director Echo Chern is also the Director of the national Brain Technology Office, who cares a lot about NeuroAI, BiomedAI and our flagship Taiwan Precision Medicine Initiative (TPMI). #TPMI #NeuroAI
jobs.sciencecareers.org/job/675710/t...
jobs.sciencecareers.org/job/675710/t...
Reposted by Ching-Lung Hsu
On the event of James Watson's death, I highly recommend this 2023 commentary from @matthewcobb.bsky.social and Nathaniel Comfort with crucial new insights into the discovery of the double helix. (And also check out Cobb's brand new biography of Francis Crick) www.nature.com/articles/d41...
What Rosalind Franklin truly contributed to the discovery of DNA’s structure
Franklin was no victim in how the DNA double helix was solved. An overlooked letter and an unpublished news article, both written in 1953, reveal that she was an equal player.
www.nature.com
November 7, 2025 at 9:25 PM
On the event of James Watson's death, I highly recommend this 2023 commentary from @matthewcobb.bsky.social and Nathaniel Comfort with crucial new insights into the discovery of the double helix. (And also check out Cobb's brand new biography of Francis Crick) www.nature.com/articles/d41...
Reposted by Ching-Lung Hsu
I enjoyed this read. The following still applies today and can slow down female researchers:
..."it is not surprising that a female scientist would think that she could ill afford th[e] luxury" of being seen to make mistakes because she was already subject to unfair scrutiny and criticism.
..."it is not surprising that a female scientist would think that she could ill afford th[e] luxury" of being seen to make mistakes because she was already subject to unfair scrutiny and criticism.
On the event of James Watson's death, I highly recommend this 2023 commentary from @matthewcobb.bsky.social and Nathaniel Comfort with crucial new insights into the discovery of the double helix. (And also check out Cobb's brand new biography of Francis Crick) www.nature.com/articles/d41...
What Rosalind Franklin truly contributed to the discovery of DNA’s structure
Franklin was no victim in how the DNA double helix was solved. An overlooked letter and an unpublished news article, both written in 1953, reveal that she was an equal player.
www.nature.com
November 9, 2025 at 9:38 PM
I enjoyed this read. The following still applies today and can slow down female researchers:
..."it is not surprising that a female scientist would think that she could ill afford th[e] luxury" of being seen to make mistakes because she was already subject to unfair scrutiny and criticism.
..."it is not surprising that a female scientist would think that she could ill afford th[e] luxury" of being seen to make mistakes because she was already subject to unfair scrutiny and criticism.
This is cool. What does the study tell us scientifically?
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Foundation model of neural activity predicts response to new stimulus types - Nature
A foundation model trained on neural activity of visual cortex from multiple mice accurately predicts responses to video stimuli and cell types, dendritic features and connectivity within the MICrONS ...
www.nature.com
November 5, 2025 at 11:11 AM
This is cool. What does the study tell us scientifically?
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Looks very cool! Should give it a shot
openreview.net/forum?id=96l...
openreview.net/forum?id=96l...
Self supervised learning for in vivo localization of microelectrode...
Recent advances in large-scale neural recordings have enabled accurate decoding of behavior and cognitive states, yet decoding anatomical regions remains underexplored, despite being crucial for...
openreview.net
November 4, 2025 at 6:11 PM
Looks very cool! Should give it a shot
openreview.net/forum?id=96l...
openreview.net/forum?id=96l...
Cortical glutamatergic and GABAergic inputs support learning-driven hippocampal stability www.science.org/doi/full/10....
www.science.org
November 4, 2025 at 7:47 AM
Cortical glutamatergic and GABAergic inputs support learning-driven hippocampal stability www.science.org/doi/full/10....
What a simple hack (for mode collapse)!
arxiv.org/html/2510.01...
arxiv.org/html/2510.01...
Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
arxiv.org
October 28, 2025 at 12:15 AM
What a simple hack (for mode collapse)!
arxiv.org/html/2510.01...
arxiv.org/html/2510.01...
AI conceptual argument of the year
arxiv.org/abs/2510.18212
arxiv.org/abs/2510.18212
A Definition of AGI
The lack of a concrete definition for Artificial General Intelligence (AGI) obscures the gap between today's specialized AI and human-level cognition. This paper introduces a quantifiable framework to...
arxiv.org
October 26, 2025 at 3:57 PM
AI conceptual argument of the year
arxiv.org/abs/2510.18212
arxiv.org/abs/2510.18212
Reposted by Ching-Lung Hsu
In case you don't know already, the journal Open Mind has a Bluesky account that automatically posts new papers:
@openmindjournal.bsky.social
The journal is diamond open access (free to read, free to publish) thanks to the support of MIT Press, Harvard Library, & MIT Library.
@openmindjournal.bsky.social
The journal is diamond open access (free to read, free to publish) thanks to the support of MIT Press, Harvard Library, & MIT Library.
October 24, 2025 at 12:03 PM
In case you don't know already, the journal Open Mind has a Bluesky account that automatically posts new papers:
@openmindjournal.bsky.social
The journal is diamond open access (free to read, free to publish) thanks to the support of MIT Press, Harvard Library, & MIT Library.
@openmindjournal.bsky.social
The journal is diamond open access (free to read, free to publish) thanks to the support of MIT Press, Harvard Library, & MIT Library.
Redirecting
doi.org
October 22, 2025 at 5:08 PM