Elnaz Nemati
@elnaznmt.bsky.social
PhD. Student in Computational Neuroscience 🧠 , Unimelb 🇦🇺
Reposted by Elnaz Nemati
1/6 Why does the brain maintain such precise excitatory-inhibitory balance?
Our new preprint explores a provocative idea: Small, targeted deviations from this balance may serve a purpose: to encode local error signals for learning.
www.biorxiv.org/content/10.1...
led by @jrbch.bsky.social
Our new preprint explores a provocative idea: Small, targeted deviations from this balance may serve a purpose: to encode local error signals for learning.
www.biorxiv.org/content/10.1...
led by @jrbch.bsky.social
May 27, 2025 at 7:49 AM
1/6 Why does the brain maintain such precise excitatory-inhibitory balance?
Our new preprint explores a provocative idea: Small, targeted deviations from this balance may serve a purpose: to encode local error signals for learning.
www.biorxiv.org/content/10.1...
led by @jrbch.bsky.social
Our new preprint explores a provocative idea: Small, targeted deviations from this balance may serve a purpose: to encode local error signals for learning.
www.biorxiv.org/content/10.1...
led by @jrbch.bsky.social
Reposted by Elnaz Nemati
Happy to have this published …https://www.science.org/doi/10.1126/sciadv.adr6698
A detailed theory of thalamic and cortical microcircuits for predictive visual inference
A generative vision model offers a detailed theory for cortical columns, thalamus, and computations in cortical circuits.
www.science.org
February 5, 2025 at 9:38 PM
Happy to have this published …https://www.science.org/doi/10.1126/sciadv.adr6698
Reposted by Elnaz Nemati
As someone who has reported on AI for 7 years and covered China tech as well, I think the biggest lesson to be drawn from DeepSeek is the huge cracks it illustrates with the current dominant paradigm of AI development. A long thread. 1/
January 27, 2025 at 2:12 PM
As someone who has reported on AI for 7 years and covered China tech as well, I think the biggest lesson to be drawn from DeepSeek is the huge cracks it illustrates with the current dominant paradigm of AI development. A long thread. 1/
Reposted by Elnaz Nemati
Roughly 6,000 readers answered our poll, with many declaring that Bluesky was nicer, kinder and less antagonistic to science than X
https://go.nature.com/42tH8Ai
https://go.nature.com/42tH8Ai
Bluesky’s science takeover: 70% of Nature poll respondents use platform
Roughly 6,000 readers answered our poll, with many declaring that Bluesky was nicer, kinder and less antagonistic to science than X.
go.nature.com
January 24, 2025 at 11:52 AM
Roughly 6,000 readers answered our poll, with many declaring that Bluesky was nicer, kinder and less antagonistic to science than X
https://go.nature.com/42tH8Ai
https://go.nature.com/42tH8Ai