Tootfinder

STSBench: A Large-Scale Dataset for Modeling Neuronal Activity in the Dorsal Stream of Primate Visual Cortex
Ethan B. Trepka, Ruobing Xia, Shude Zhu, Sharif Saleki, Danielle Abreu Lopes, Stephen J. Ni\~no Cital, Konstantin F. Willeke, Mindy Kim, Tirin Moore
https://arxiv.org/abs/2607.15631 https://arxiv.org/pdf/2607.15631 https://arxiv.org/html/2607.15631
arXiv:2607.15631v1 Announce Type: new
Abstract: The primate visual system is typically divided into two streams - the ventral stream, responsible for object recognition, and the dorsal stream, responsible for encoding spatial relations and motion. Recent studies have shown that convolutional neural networks (CNNs) pretrained on object recognition tasks are remarkably effective at predicting neuronal responses in the ventral stream, shedding light on the neural mechanisms underlying object recognition. However, similar models of the dorsal stream remain underdeveloped due to the lack of large scale datasets encompassing dorsal stream areas. To address this gap, we present STSBench, a dataset of large-scale, single neuron recordings from over 2,000 neurons in the superior temporal sulcus (STS), a nearly 50-fold increase over existing dorsal stream datasets, collected while Rhesus macaques viewed thousands of unique, natural videos. We show that our dataset can be used for benchmarking encoding models of dorsal stream neuronal responses and reconstructing visual input from neural activity.
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Where do Cowboys rank among the NFC East pass-rushing units for 2026? https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2026/06/07/nfc-east-rankings-edge-rushers-2026/90438998007/

Sea level rise is speeding up and scientists now know exactly why #environment

Sea level rise is speeding up and scientists now know exactly why
The world’s oceans are rising at an accelerating pace, and scientists now say they can fully explain what’s driving it. Warming seawater is the biggest factor, while melting glaciers and polar ice sheets are increasingly pouring more water into the oceans each year. Researchers also solved a puzzling mismatch in sea level measurements that had lingered for years.

we also talked to an old lady who's important to the church but just hadn't really went over to us yet. she grew up in philly some typa african american puerto rican, moved to puerto rico eventually, then came back later. her whole thing was that american churches are slowly dying, she didn't know true worship till puerto rico, and she wanted to get everybody to perform on stage sometimes, including us, believing god would bring any missing music ability and didnt want professional sound anyway. she sung all this information to us rather than speaking it, which was ofc delightful. she bonded with mom over homeschooling as she had to do that to teach her kids both english and spanish in puerto rico.
as we left she suddenly pointed at me and told my mom "make this one hug me, he's the one of you i always watch move around. i don't know, there's just something about him!" so i hugged her, and then as we went home, my family revived an old joke. when i was a kid, there were quite a few times when random strangers in turkey would come up and hand me money, sometimes crossing streets and chasing us down to do so, so my family joked about using me as a missions org mascot, raising tons of money via most randos finding me a particularly cute kid (or being drawn to intangible aura, as the joke seemingly shifted to in lieu of me not being a cute little kid anymore)

Designed-Source Reductions and a Dual-Purpose Feasibility Band for Semantic Rate-Distortion
Joss Armstrong
https://arxiv.org/abs/2606.11280 https://arxiv.org/pdf/2606.11280 https://arxiv.org/html/2606.11280
arXiv:2606.11280v1 Announce Type: new
Abstract: The joint rate-distortion framework of Stavrou and Kountouris (IEEE Transactions on Communications 2023) characterises dual-fidelity tradeoffs for semantic communication on stochastic semantic sources. Many task-oriented communication systems instead use designed sources, where the semantic object is a deterministic oracle allocation $\phi^(t)$ rather than a stochastic quantity given by nature. We isolate the subclass of designed sources under smooth concave utility with assumptions A1, A2 and Euclidean allocation codomain, and restrict the encoder class to deterministic common-category mappings. Within this subclass the SK exponential-tilting decoder and generalised Blahut--Arimoto iteration specialise to conditional-mean decoding and Lloyd--Max stationarity on $\phi^(t)$. When the second fidelity is a monotone single-letter distortion, the joint problem stays inside the SK admissible class; the common-category SK rate is lower-bounded by the max of the corresponding Shannon rate-distortion functions, with equality only when the common-category reconstruction is compatible and RDF-optimal. When the second fidelity is aggregate verification, the joint problem leaves the SK single-letter class and admits a constrained-design feasibility band $R_{\min}(\varepsilon^) \leq R \leq R_{\max}(\beta^)$ of width $\log_2(K_{\max}/K_{\min})$ bits in partition cardinality. The reduction and the band are scope statements on the SK apparatus, not modifications to it. A smart-grid economic-dispatch example with a non-technical-loss-detection contrast illustrates the band.
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