Laboratory for Neural Circuit and Behavior, School of Biological and Behavioural Sciences, Queen Mary University of London
London, UK
Joined March 2015
- Tweets166
- Following233
- Followers339
- Likes159
Benucci Lab retweeted
Is it a duck, or is it a rabbit? (How) do multimodal large language models (MLLMs) report bistable images? Terrific new work led by @SussexCentre PhD student @rtakatsky - to be presented at #EMNLP2026. Paper and explainer video below 👇🏽
Visual cues or expectations can flip what we see in bistable images—yet we typically see only one interpretation at a time. 🦆🐇
Do MLLMs show human-like reports? If so, how?
Excited to share our #EMNLP2026 Main paper: “(How) Do MLLMs Report Bistable Images Like Humans?” (1/3)
Benucci Lab retweeted
Watch this.
Seriously. Whatever you are doing, stop doing that and watch this instead.
youtube.com/watch?v=87DyyMV0…
Benucci Lab retweeted
Our approach for untangling brain-wide interactions is out today in @NeuroCellPress!
Massive congrats to @mattperich for leading this incredible effort since 2020, and a huge thank you to all of our collaborators.
doi.org/10.1016/j.neuron.202…
Excited to share our new @biorxivpreprint which introduces 𝘾𝙪𝙧𝙧𝙚𝙣𝙩-𝘽𝙖𝙨𝙚𝙙 𝘿𝙚𝙘𝙤𝙢𝙥𝙤𝙨𝙞𝙩𝙞𝙤𝙣 (𝘾𝙐𝙍𝘽𝘿)— an approach for inferring brain-wide interactions using data-constrained recurrent neural network (RNN) models. A thread 👇🏽 (1/8) biorxiv.org/content/10.1101/…
Benucci Lab retweeted
New preprint from the lab!
Behavioral and neural mechanisms for stochastic choices in mixed-strategy games: doi.org/10.64898/2026.07.29.…
We use game theoretic tasks, cross species comparisons, modelling strategies, and mesoscale imaging to probe how we can escape predictability!
Benucci Lab retweeted
New Anthropic research: A global workspace in language models.
Of everything happening in your brain right now, only a tiny fraction is consciously accessible—thoughts you can describe, hold in mind, and reason with.
We found a strikingly similar divide inside Claude.
Benucci Lab retweeted
Great blog post from @ItsNeuronal on the interpretation of Log-Likelihood Ratios for model comparison, including a (new to me!) result on how to obtain a significance threshold for declaring one model better than another:
neurostatsblog.github.io/202…
How psychedelics push your brain to dream while awake – new study theconversation.com/how-psyc… via @ConversationUK
Benucci Lab retweeted
Nature research paper: Evidence accumulation from experience and observation in the cingulate cortex
go.nature.com/3NcJfTB
Benucci Lab retweeted
𝗦𝗽𝗮𝘁𝗶𝗮𝗹𝗹𝘆 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗶𝗻 𝘁𝗵𝗲 𝗺𝗼𝘂𝘀𝗲 𝗯𝗿𝗮𝗶𝗻
Leaving aside the more extreme discussions about "everything everywhere" and modularity this is a very cool paper. Data from 260 regions and 60K neurons.
doi.org/10.1101/2025.07.30.6…
Benucci Lab retweeted
1/🧵 Out today in @FrontiersIn @FrontScience: “Consciousness science: where are we, where are we going, and what if we get there?" By @axelcleeremans, @Liad_Mudrik, & me (a @CIFAR_News & @ERC_Research production🧠). frontiersin.org/journals/sci…
Benucci Lab retweeted
I did a podcast with Jon Stewart who has always been a hero of mine. It was a lot of fun. He really wanted to understand how AI works.
youtube.com/watch?v=jrK3PsD3…
Benucci Lab retweeted
A pair of papers on using holographic optogenetics and compressed sensing for connectomics
Rapid learning of neural circuitry from holographic ensemble stimulation enabled by model-based compressed sensing
nature.com/articles/s41593-0…
Benucci Lab retweeted
🔦 New @TrendsNeuro spotlight on our recent @NatureComms paper!
How do brains generalise spatial information across sensory modalities?
Our study identifies a region in the dorsal cortex of mice enabling them to transfer spatial knowledge between vision and touch!🖐🏻👀 🔗cell.com/trends/neuroscience…
Benucci Lab retweeted
My postdoc work "Unsupervised pretraining in biological neural networks" is out now, along with more than 400GB (milliions neurons) neural data. nature.com/articles/s41586-0…. Figshare and Github links can be found in the paper.
Benucci Lab retweeted
Press Release -- New research shows how brain circuitry produces inferred emotions, allowing a better understanding of anxiety. #Emotions #BrainScience #RIKEN #MentalHealth @RIKEN_CBS @JoJoLab5 doi.org/10.1038/s41586-025-0… riken.jp/en/news_pubs/resear…
Wonderful work. "Engram cells can be defined as neuronal ensembles [...] the reactivation of which leads to the retrieval of the target memory". Could replacing "memory" with "computation" relate engrams to, for example, sparse coding in neural nets?
Benucci Lab retweeted
Video prediction foundation models implicitly learn how objects move in videos. Can we learn how to extract these representations to accurately track objects in videos _without_ any supervision? Yes! 🧵
Work done with: @Rahul_Venkatesh, @SeKim1112, @jiajunwu_cs and @dyamins
Benucci Lab retweeted
We just finished up Winter quarter CS375: Large-Scale Neural Network Models for Neuroscience. Check out the publicly available Syllabus and lecture notes cs375.stanford.edu/course-ca…