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Tony Zador

@TonyZador · joined 05 Apr 2013

Neuroscientist at CSHL. Interests: neuroAI, molecular connectomics, & cortical circuits underlying decisions. Co-founder of Cosyne and NAISys meetings.

12 377Followers
2 232Following
4 607Posts total
49.4KViews on collected posts

Последние посты

@TonyZador beautiful!! 276 views · 3 likes · 0 reposts · 0 replies Open on X →
How to build a brain from a genome? We know a lot about the mechanisms and molecules We revisit the algorithmic problem: What kinds of programs can specify a brain within the genome’s information budget and the finite time available for development? https://t.co/evpJXX5s1l 3K views · 42 likes · 10 reposts · 0 replies Open on X →
How do you build a brain from a genome? We know a lot about the mechanisms and molecules Here we revisit the algorithmic problem: What kinds of programs can specify a brain within the genome’s information budget and the finite time available for development? https://t.co/ba4od
25.6K views · 345 likes · 71 reposts · 10 replies Open on X →
Claude Opus and ChatGPT5.5 get it. Sonnet, Haiku, and Gemini all think it's an attempt at Star Trek humor https://t.co/VJJGhAzlqP
1.4K views · 4 likes · 0 reposts · 1 replies Open on X →
The 2026 CSHL Symposium: AI in Biology starts May 26! 2K views · 4 likes · 0 reposts · 0 replies Open on X →
Due to exceptionally strong interest, the 2026 CSHL Symposium: AI in Biology is oversubscribed. However, VIRTUAL REGISTRATION is still OPEN! Register here: https://t.co/XKMPeBhMqS 2.7K views · 7 likes · 1 reposts · 1 replies Open on X →
Watch Dr. Emily Isko discuss her work on the brain circuit changes associated with the rapid evolution of song production in the Costa Rican singing mouse 3.8K views · 20 likes · 3 reposts · 0 replies Open on X →
In a new study published in @Nature, CSHL graduate student Emily Isko in the @ArkaupBanerjee Lab discovered an evolutionary difference in Alston’s singing mice that allows for enhanced vocal capabilities. Read more: https://t.co/Lz8xdM1RZU @TonyZador #InspiringDiscovery https://
1:12
10.5K views · 54 likes · 20 reposts · 1 replies Open on X →
paper out! "most animal behavior is not the result of clever learning algorithms but is encoded in the genome. Specifically, animals are born with highly structured brain connectivity, which must be compressed through a “genomic bottleneck”. https://t.co/9i0Nnpnrs6 0 views · 2K likes · 647 reposts · 64 replies Open on X →

На фоне аккаунтов своего размера

3 постов за последние 90 дней рядом с диапазоном 10K–100K подписчиков. показывается большему числу людей, чем аккаунты того же размера.

Медианные просмотры3 015этот аккаунт924медиана для 10K–100K
Охват, %24.36%этот аккаунт3.62%медиана для 10K–100K
Вовлечённость, %1.69%этот аккаунт1.52%медиана для 10K–100K
ПоказательЭтот аккаунтМедиана для 10K–100KОтношение
Медианные просмотры на пост3 0159243.26×
Охват (просмотры ÷ подписчики)24.36%3.62%6.73×
Вовлечённость1.69%1.52%1.11×

Другие в этом диапазоне →   Сравнить с другим аккаунтом →   Как считаются эти ориентиры →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

10.5K7 May
3.8K
2.7K19 May
2K
1.4K26 May
25.6K15 Aug
3K
276

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.73%7 May
0.60%
0.37%19 May
0.25%
0.35%26 May
1.69%15 Aug
1.79%
1.09%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes51.1%479 in total
Reposts11.2%105 in total
Replies1.4%13 in total
Quotes1.3%12 in total
Bookmarks35.0%328 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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