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Tony

@tcristo.bsky.social
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Reposted by Tony
Tal Haklay @talhaklay.bsky.social · 06/03/2025
1/13 LLM circuits tell us where the computation happens inside the model—but the computation varies by token position, a key detail often ignored! We propose a method to automatically find position-aware circuits, improving faithfulness while keeping circuits compact. 🧵👇
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Apurva Ratan Murty @apurvaratan.bsky.social · 30/01/2025
Hey Bsky friends on #neuroskyence! Very excited to share our @iclr-conf.bsky.social paper: TopoNets! High-performing vision and language models with brain-like topography! Expertly led by grad student Mayukh and Mainak! A brief thread...
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Iris Groen @irisgroen.bsky.social · 11/12/2024
Very excited by our first benchmarking results on BMD by the talented @sargechris.bsky.social! By including control models trained on Kinetics that deal trivially with time (i.e. treating videos as image sequences), we find better brain alignment scores for actual video models in early visual areas!
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Ulises Pereira-Obilinovic @ulisespereirao.bsky.social · 07/12/2024
I am excited to share the last work of my postdoc as a Swartz Fellow at NYU on the dynamic routing of large-scale cognitive networks in the neocortex! 🌐🧠 Here's a quick breakdown: 🧵 preprint: www.biorxiv.org/content/10.1...
biorxiv.org
Cognitive networks interactions through communication subspaces in large-scale models of the neocortex
The neocortex-wide neural activity is organized into distinct networks of areas engaged in different cognitive processes. To elucidate the underlying mechanism of flexible network reconfiguration, we ...
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Kevin Mitchell @wiringthebrain.bsky.social · 28/11/2024
A wonderful paper from @tonyzador.bsky.social and colleagues: Encoding innate ability through a genomic bottleneck www.pnas.org/doi/10.1073/...
pnas.org
Encoding innate ability through a genomic bottleneck | PNAS
Animals are born with extensive innate behavioral capabilities, which arise from neural circuits encoded in the genome. However, the information ca...
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(((Dr Hannah Wirtshafter))) 🔬 @aheadofthenerve.bsky.social · 24/11/2024
🚨 New #Blueprint🚨 Ever wondered how the HPC supports learning across different contexts? My newest, a combo of experimental and comp neuro, w @SaraASolla & @DisterhoftLab, uncovers a 'universal' memory code in the HPC—consistent across animals and environments! 🧵👇 www.biorxiv.org/content/10.1...
biorxiv.org
A universal hippocampal memory code across animals and environments
How learning is affected by context is a fundamental question of neuroscience, as the ability to generalize learning to different contexts is necessary for navigating the world. An example of swift co...
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Surya Ganguli @suryaganguli.bsky.social · 21/11/2024
Our new paper in @natureportfolio.bsky.social shows entorhinal grid cells adapt their representations to a new environment in one-shot and derives a model that fuses landmarks & motion to *predict* the detailed grid rep *before* the mouse enters the new environment! www.nature.com/articles/s41...
nature.com
One-shot entorhinal maps enable flexible navigation in novel environments - Nature
How the navigational system of the brain constructs spatial maps that require both rapid changes and representational accuracy is explored.
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Shervin Safavi @neuroprinciplist.bsky.social · 21/11/2024
In our next Learning Club @ CMC lab (Nov 21, Thursday, 2 PM CET), @ipshitaz.bsky.social will tell us about her recent work (www.biorxiv.org/content/10.1...). If you'd like to attend, send an empty email to virtual-talk-link request@cmclab.org to get the link!
biorxiv.org
Hippocampal neuronal activity is aligned with action plans
Neurons in the hippocampus are correlated with different variables, including space, time, sensory cues, rewards, and actions, where the extent of tuning depends on ongoing task demands. However, it r...
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Denise J. Cai, Ph.D. @denisejcai.bsky.social · 19/11/2024
🌟 Cai Lab Nature (@natureportfolio.bsky.social) paper alert! In work led by Joe Zaki, we find that rest periods after learning not only stabilize new memories BUT ALSO integrate new memories with older ones from days past! (1/10) Read it here: www.nature.com/articles/s41...
Nature paper article with title and abstract
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Gaia Molinaro @gaiamolinaro.bsky.social · 08/06/2024
How do we decide which goals to pursue? Here, we introduce the notion of *latent learning progress* to explain human goal selection and inspire advances in the development of autotelic machines. osf.io/preprints/ps... With Cédric Colas, Pierre-Yves Oudeyer, and Anne Collins
osf.io
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Gaia Molinaro @gaiamolinaro.bsky.social · 18/11/2024
I'm excited to announce that this work has been accepted at @blog.neurips.cc.web.brid.gy 🧠🤖 We hope to spark conversations on goal selection in biological and artificial agents. Check it out at openreview.net/forum?id=Gbq... With Cédric Colas, Pierre-Yves Oudeyer, & Anne Collins
openreview.net
Latent Learning Progress Drives Autonomous Goal Selection in Human...
Humans are autotelic agents who learn by setting and pursuing their own goals. However, the precise mechanisms guiding human goal selection remain unclear. Learning progress, typically measured as...
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Gareth Gaskell @mggaskell.bsky.social · 19/11/2024
Exciting new study from @alexatompary.bsky.social and Lila Davachi: consolidation-related restructuring and integration doi.org/10.7554/eLif...
doi.org
Integration of overlapping sequences emerges with consolidation through medial prefrontal cortex neural ensembles and hippocampal–cortical connectivity
Changes in cortical neural ensembles and heightened coupling between the hippocampus and cortex enable the eventual behavioral integration of memories with overlapping sequential information.
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Charan Ranganath @charan-neuro.bsky.social · 18/11/2024
Super-psyched to share this preprint from my student Yicong (Alan) Zheng: "Recurrent Inhibitory Dynamics in the Entorhinal Cortex Support Pattern Separation" www.biorxiv.org/content/10.1... It's a new biologicaly-based computational model of the entorhinal-hippocampal system. Thread (1/?)
biorxiv.org
Recurrent Inhibitory Dynamics in the Entorhinal Cortex Support Pattern Separation
The entorhinal cortex (EC) provides the major input to the hippocampus (HPC). Numerous computational models on the EC propose that its grid cells serve as a spatial metric, supporting path integration...
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Earl K. Miller @earlkmiller.bsky.social · 18/11/2024
Visual Processing by Hierarchical and Dynamic Multiplexing www.eneuro.org/content/11/1... #neuroscience
eneuro.org
Visual Processing by Hierarchical and Dynamic Multiplexing
The complexity of natural environments requires highly flexible mechanisms for adaptive processing of single and multiple stimuli. Neuronal oscillations could be an ideal candidate for implementing su...
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Mariam Aly @mariamaly.bsky.social · 30/09/2024
Does encoding the present compete with predicting the future? Across 3 studies, we find that encoding and prediction are coupled, not competitive! Proud of co-first authors Craig Poskanzer & Hannah Tarder-Stoll, along w/ @raheemajavid.bsky.social & Edoardo Spolaore! osf.io/preprints/ps...
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Alireza Modirshanechi @modirshanechi.bsky.social · 18/11/2024
🚨Preprint alert🚨 In an amazing collaboration with @lucasgruaz.bsky.social, S Becker, & J Brea, we explored a major puzzle in #neuroscience & #psychology: **What are the merits of curiosity?** 🧠🧑‍🔬🧪 osf.io/preprints/ps... 1/7
osf.io
OSF
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Bertoglio lab (FMC/UFSC) @bertogliolab.bsky.social · 15/11/2024
A hierarchical active inference model of spatial alternation tasks and the hippocampal-prefrontal circuit www.nature.com/articles/s41...
nature.com
A hierarchical active inference model of spatial alternation tasks and the hippocampal-prefrontal circuit - Nature Communications
How cognitive maps of physical and task space interact when executing cognitive tasks is not fully understood. This paper models how the hippocampal-prefrontal circuits solves memory-guided spatial al...
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Earl K. Miller @earlkmiller.bsky.social · 16/11/2024
More evidence that working memory is not persistent activity. Instead, it is dynamic on/off states with short-term synaptic plasticity. Intermittent rate coding and cue-specific ensembles support working memory www.nature.com/articles/s41... #neuroscience
nature.com
Intermittent rate coding and cue-specific ensembles support working memory - Nature
By recording large populations of neurons in behaving monkeys using newly developed silicon probes, we show that intermittent periods of memorandum-specific spiking coexist with synaptic mechanis...
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Ben Hayden @benhayden.bsky.social · 16/11/2024
Everything is everywhere all at once. direct.mit.edu/imag/article...
direct.mit.edu
Behavior can be decoded across the cortex when individual differences are considered
Abstract. Group-level analyses have typically linked behavioral signatures to a constrained set of brain areas. Here, we show that two behavioral metrics—reaction time (RT) and confidence—can be decod...
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Eleonora Russo @russoel.bsky.social · 17/11/2024
And with a bit of delay now also here: 📢 New work on hippocampal assemblies & theta! www.nature.com/articles/s41... It was a pleasure to work with Nadine Becker, Aleks Domanski, Timothy Howe, Kipp Freud, @durstewitzlab.bsky.social, Matt Jones. @SantAnna Pisa @Bristol Neuro @ZI Mannheim 🧵[1/11]
nature.com
Integration of rate and phase codes by hippocampal cell-assemblies supports flexible encoding of spatiotemporal context - Nature Communications
Russo et al. show that context-specific place cell assemblies support hippocampal integration of past experiences into future plans during goal-directed behavior and propose a biophysical mechanism be...
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