Benucci Lab @BenucciLab
Laboratory for Neural Circuit and Behavior, School of Biological and Behavioural Sciences, Queen Mary University of London benuccilab.net London, UK Joined March 2015-
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🔦 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!🖐🏻👀…
My postdoc work "Unsupervised pretraining in biological neural networks" is out now, along with more than 400GB (milliions neurons) neural data. nature.com/articles/s4158…. Figshare and Github links can be found in the paper.
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… riken.jp/en/news_pubs/r…
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
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-calenda…
🚨Fully funded PhD opportunity at QMUL, London!🚨 Join us to explore optogenetic control of visual perception. Open to UK nationals & UK-ILR residents. Please share! 👇 🔗 shorturl.at/77f6U
New study from our lab, in collab with @erlichlab We developed novel frameworks to study multi-agent decision-making in mice. Mice flexibly shift their value preference under social competition, by integrating real-time self and opponent information! biorxiv.org/content/10.110…
We always see that: 1) neural responses are very diverse 2) the shattering dimensionality is as high as it can be. Now also in an extensive analysis of the IBL dataset. Wonderful collaboration with @LorenzoPosani , Shuqi Wang, Samuel Muscinelli, Liam Paninski. Many new analyses
We always see that: 1) neural responses are very diverse 2) the shattering dimensionality is as high as it can be. Now also in an extensive analysis of the IBL dataset. Wonderful collaboration with @LorenzoPosani , Shuqi Wang, Samuel Muscinelli, Liam Paninski. Many new analyses
🌟New preprint with @LynnKASorensen and @JamesJDiCarlo When animals learn new object discrimination tasks, how much does their IT cortex change? In their untrained state, animals can still see objects but can’t attach labels—so we don’t expect the ventral stream to fully…
Temporal dynamics of energy-efficient coding in mouse primary visual cortex biorxiv.org/content/10.110… An efficient paper with few words but a lot of information. 😀
25 yrs ago, perception dominated neuroscience, and Raj's @RajeshPNRao predictive coding theory. Now, it's all about action-perception loops across the hierarchy... "active predictive coding." Also, augmenting our cognition with AI neural co-processors! braininspired.co/podcast/201/
New results! Visual adaptation changes the geometry of V1 population activity: frequent stimuli elicit smaller responses but become more discriminable, consistent with our efficient coding model. You can find me on the "new neurotwitter" at mariodipoppa. biorxiv.org/content/10.110…
Excited to share our new paper out now @Nature, where we identified neural signatures of stress susceptibility and resilience in the amygdala-ventral hippocampal network to enable control of anhedonia! <nature.com/articles/s4158…> Thread below:
Our lab @UniofOxford @PharmOxford has a Lab Manager position supporting our @wellcometrust funded work on flexible behaviour. The position is based at Oxford, collaborating with @QMULBartsTheLon. Deadline Nov 25th - very keen to hear from you. Apply here bit.ly/4hhCavl📄
Neuroscientists beaten at predicting experimental outcomes by LLMs trained on neuroscience studies. Who can keep up with the literature? Maybe the machines 🫨
Neuroscientists beaten at predicting experimental outcomes by LLMs trained on neuroscience studies. Who can keep up with the literature? Maybe the machines 🫨
Congratulations to Dmitry and Andrea (@Artipago) on this new paper, "Regularizing Hyperparameters of Interacting Neural Signals in the Mouse Cortex Reflect States of Arousal." journals.plos.org/ploscompbiol/a…
Very sad to hear about the passing of Yves Fregnac - an original thinker who published important work on V1 selectivity & shunting inhibition and, later, on the changing culture of neuroscience research, which we discussed widely during Capocaccia meetings science.org/doi/10.1126/sc…
late to the game but this is a really interesting paper by @SodenLab cell.com/neuron/abstrac…
Six tips for going public with your lab’s software: nature.com/articles/d4158… 1) make time for maintenance 2) simplify installation 3) add a GUI or good CLI 4) good documentation 5) use github/git 6) automated testing Any other tips people have? #OpenScience #OpenSource

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