Adrián F. Amil
@adriamilcar
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(Finishing) PhD in neuroAI @DondersInst. Working on comp neuro and deep learning. Also into physics, complexity, filmmaking, philosophy, and space exploration.
Nijmegen, Nederland
Joined September 2014
🎉Finally published @PLOSCompBiol ! Why do neurons use low-frequency oscillations for encoding? Why not use higher frequencies for better sampling resolution? We identify a speed-precision trade-off driven by noise, showing that theta (3–8 Hz) maximizes bits/s! Check it out 👇
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RT @MillerLabMIT: Sensory inputs trigger a fast-traveling wave, followed by a slower wave carrying top-down info (value/choice). The late w…
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RT @iScienceLuvr: Language Models Use Trigonometry to Do Addition "We first discover that numbers are represented in these LLMs as a gener…
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RT @jchrispang: Really excited to share our new preprint "Geometric influences on the regional organization of the mammalian brain" with @A…
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RT @d_g_clark: Very happy to share a preprint: “Symmetries and Continuous Attractors in Disordered Neural Circuits” Detailed accompanying t…
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RT @drmichaellevin: New #preprint @BeneHartl "What does evolution make? Learning in living lineages and machines"…
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RT @JulioMTNeuro: Expansion of the neocortex in primates is not just about 'cloning' more neurons or motifs, it is about creating and expan…
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RT @s_scardapane: *Restructuring Vector Quantization with the Rotation Trick* by Fifty et al. Replaces the "closest codebook" operation in…
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RT @MillerLabMIT: Electric fields propagate nearly instantaneously—5,000 times faster than neuronal spiking—enabling large-scale organizati…
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RT @cxdig: The Physics of Life: Exploring Information as a Distinctive Feature of Living Systems
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RT @NichoMenghi: Excited to share our new preprint on the effect of low-dimensional task similarities on representation learning in brains…
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RT @biorxiv_neursci: Self-organization of high-dimensional geometry of neural activity in culture #biorxiv_neursci
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RT @wgilpin0: In biology we measure downstream variables like genes, neurons, or species. But we can’t always measure their underlying caus…
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RT @KrzakalaF: On this topic, I love this amazing work showing that CLASSICAL particles (bouncing droplet on a liquid substract) can exhib…
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RT @SarthakChandra: 1/ Super-excited to share our new work “Episodic and associative memory from spatial scaffolds in the hippocampus”, out…
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RT @JulioMTNeuro: Mammalian brains are not upscale versions of a common ancestor. Evolution has shaped them: meso-connectomes of mouse, mar…
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RT @behrouz_ali: Attention has been the key component for most advances in LLMs, but it can’t scale to long context. Does this mean we need…
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RT @TrendsCognSci: The metabolic costs of cognition Review by Sharna D. Jamadar (@SharnaJamadar), Anna Behler (@Anna_NeuroSci), Hamish Dee…
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RT @perina_ndrea: Little is known about how deep networks interact with structure in data. An important aspect of this structure is symmet…
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RT @StatMLPapers: Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion
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