
Ian Cone
@dr_conehed
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Computational Neuroscience Postdoc in Rui Ponte Costa's group at the University of Oxford
Oxford, UK
Joined June 2023
RT @keyonV: Summary:.1. We propose inductive bias probes: a model's inductive bias reveals its world model. 2. Foundation models can have g….
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RT @TAsabuki: 🚀Out in PNAS!.We find that recurrent networks trained with the predictive plasticity rules explain many features of predictio….
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RT @FishKQian: My work about “Experience-dependent place-cell referencing in hippocampal area CA1” is now online in #NatureNeuro. A team ef….
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RT @NatureNeuro: Insight into place field formation in general, and specifically how the #hippocampus adaptively remaps for flexible goal-d….
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RT @Sheffield_Lab: Our latest research, led by @AntoineMadar, on what #SynapticPlasticity rules shape CA1 and CA3 representations in the hi….
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RT @ClopathLab: Want to hear more about how feedback can guide learning in RNNs for motor adaptation. Here is our new paper in Nat. Com. wi….
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RT @sunw37: 1/12 How do animals build an internal map of the world? In our new paper, we tracked thousands of neurons in mouse CA1 over day….
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RT @abhiramiyer: 🧠A story about the brain, told through self-supervised learning:. Grid cells, known for mapping physical spaces, also app….
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RT @biorxiv_neursci: Hippocampal OLM interneurons regulate CA1 place cell plasticity and remapping #biorxiv_neursci.
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RT @TomNotGeorge: What are the brain’s “real” tuning curves? . Our new preprint "SIMPL: Scalable and hassle-free optimisation of neural rep….
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RT @biorxiv_neursci: Recurrent Connectivity Shapes Spatial Coding in Hippocampal CA3 Subregions #biorxiv_neursci.
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RT @neuroAnant: Our latest work got published We found that behavioral time scale plasticity (BTSP), which is rele….
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RT @CGrienberger: 🚨Pls RT: My group @BrandeisNeuro is recruiting. If you are interested in mechanisms of learning in the brain, in vivo cir….
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RT @dlevenstein: The degree of rigor by Colin (et al) to formalize what’s meant by “biologically plausible” in terms of locality (TL;DR whi….
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📜Now in @NatureComms :.We propose an alternate theory of "RPE-like" DA transients, in which DA's "goal" is to facilitate learning of temporal bases for reward predictive cues (not necessarily to encode a strict RPE). w/.Harel Shouval.@ClopathLab.
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