Alec Tschantz
@a_tschantz
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Applied AI lead @ https://t.co/NbfAkAtobD
Brighton, England
Joined February 2018
Joint pre-print with @BerenMillidge, along with @anilkseth and @drclbuckley. My first exposure to neuroscience was @anilkseth TED talk on the brain being "top-down" - blew my mind and led me to research. End result - brain probably isn't "top-down"
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RT @HThasarathan: 🌌🛰️Wanna know which features are universal vs unique in your models and how to find them? Excited to share our preprint:…
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RT @dileeplearning: Happy to have this published ...finally. Have a look if you are interested in understanding cortical columns, microci…
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RT @apurvaratan: Very proud to share our @iclr_conf paper: TopoNets! High-performing vision and language models with brain-like topography…
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RT @leedsharkey: New interpretability paper from Apollo Research! 🟢Attribution-based Parameter Decomposition 🟢 It's a new way to decompo…
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RT @heyyalexwang: did you know you've been doing test-time learning this whole time? transformers, SSMs, RNNs, are all test-time regressor…
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RT @drmichaellevin: New preprint! #bioelectricity @SantoshManicka Most recent work on bioelectric control of morphogenesis focuses on s…
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RT @mjdramstead: 🚨 New publication 🚨 Excited to share our recent preprint “A mathematical perspective on neurophenomenology,” written in co…
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RT @drmichaellevin: Started talking to Chris Fields on how to revise the Drake Equation to focus on the *observer* and their degree of abil…
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RT @InnocFrancesco: I am pleased to introduce JPC, a new JAX library for training neural networks with predictive coding. 🧠💻 Code: https:…
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RT @corefpark: New paper! “In-Context Learning of Representations” What happens to an LLM’s internal representations in the large context…
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RT @hardmaru: Automating the Search for Artificial Life with Foundation Models We propose a new method called Auto…
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RT @jcrwhittington: New paper out in @NeuronCellPress: A general theory of sequential working memory in prefrontal cortex and RNN/SSMs with…
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RT @mkirchhof_: Proud to announce our NeurIPS spotlight, which was in the works for over a year now :) We dig into why decomposing aleatori…
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RT @donalddhoffman: In the brain “... we get an information density up to a staggering 125 billion times more from ephaptic fields than fro…
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RT @mitrma: We are very excited to announce Kinetix: an open-ended universe of physics-based tasks for RL! We use Kinetix to train a gener…
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RT @niko_kukushkin: We think that all memory is stored in the brain. But our study published today in @NatureComms shows that all cells—eve…
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RT @meysam0873: 📢Preprint alert 📢: At @INS_Umr1106, we built “Dynamic Causal Modeling in Probabilistic Programming Languages”, now accessib…
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RT @jxbz: Over the past month, methods developed by myself and my collaborators were used to set new speed records for training LLMs up to…
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RT @wellingmax: AKOrN is here: It replaces threshold units with generalized Kuramoto oscillators. It dynamically b…
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