Representations converge as brain maps diverge along the cortical hierarchy

Posted by dbos Hopkins

Kavli Affiliate: Martin Lindquist | Authors: Bogdan Petre, Martin A Lindquist and Tor Wager | Summary: Brain maps (e.g. topographies like retinotopy, somatotopy) vary across individuals. This is thought to reflect computational differences, motivating personalized functional localization. However, artificial neural networks (ANNs) show that similar performance and internal representations can coexist with diverse circuit layouts. […]


Continue.. Representations converge as brain maps diverge along the cortical hierarchy

Discovery of the First Octupole Pulsation Mode in a delta Scuti Star: A Stationary l = 3 Sectoral Mode

Posted by klaurent MIT

Kavli Affiliate: Saul Rappaport | Summary:Aims. We are attempting to better understand how stellar pulsations in close binary systems are affected, and possibly induced, by tidal, Coriolis, and centrifugal forces. Methods. We analyzed TESS data for some 50,000 potential eclipsing binaries selected by machine learning algorithms in order to search for pulsation multiplets split by […]


Continue.. Discovery of the First Octupole Pulsation Mode in a delta Scuti Star: A Stationary l = 3 Sectoral Mode

Preserving Clusters in Error-Bounded Lossy Compression of Scientific Particle Data

Posted by klaurent Chicago

Kavli Affiliate: Katrin Heitmann | Summary:Scientific particle simulations in cosmology, molecular dynamics, and fluid dynamics produce large-scale datasets whose storage, movement, and analysis increasingly rely on lossy compression. However, existing compressors typically bound only pointwise position errors, providing no guarantee on the fidelity of structures derived from particle coordinates, such as single-linkage clustering (also known […]


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Preserving Clusters in Error-Bounded Lossy Compression of Particle Data

Posted by klaurent Chicago

Kavli Affiliate: Katrin Heitmann | Summary:Lossy compression is widely used to reduce storage and I/O costs for large-scale particle datasets in scientific applications such as cosmology, molecular dynamics, and fluid dynamics, where clustering structures (e.g., single-linkage or Friends-of-Friends) are critical for downstream analysis; however, existing compressors typically provide only pointwise error bounds on particle positions […]


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A Unified Account of Lightness Illusions via Edge-Based Reconstruction of Natural Images

Posted by dbos Harvard

Kavli Affiliate: George A. Alvarez | Authors: Srijani Saha, Talia Konkle and George A. Alvarez | Summary: The human visual system transforms patterns of light into rich perceptual experiences, where what we see is a construction that goes beyond simple measurement. Lightness illusions—where identical parts of an image can appear dramatically different depending on context—provide […]


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ToFiE, a Topology-aware Fiber Extraction workflow for 3D reconstruction of dense and heterogeneous biological fiber networks from microscopy images

Posted by klaurent Delft

Kavli Affiliate: Gijsje Koenderink | Summary:Fibrous networks are ubiquitous structural components in biology, spanning cellulose in plant cell walls, fibrin in blood clots, and collagen in the extracellular matrix of animal tissues. Theoretical models predict that network connectivity critically influences their mechanical behavior. However, accurately reconstructing network topology from 3D image data remains a major […]


Continue.. ToFiE, a Topology-aware Fiber Extraction workflow for 3D reconstruction of dense and heterogeneous biological fiber networks from microscopy images

Bound entanglement detection in $4 otimes 4$ systems via generalized Choi maps

Posted by klaurent Delft

Kavli Affiliate: Mazhar Ali | Summary: We construct a family of positive but not completely positive linear maps acting on four dimensional space. We employ these maps to detect bound entanglement in high dimensional quantum systems. | Search Query: arXiv Query: search_query=au:”Ali Mazhar”&id_list=&start=0&max_results=10Read More


Continue.. Bound entanglement detection in $4 otimes 4$ systems via generalized Choi maps

AccelCIM: Systematic Dataflow Exploration for SRAM Compute-in-Memory Accelerator

Posted by klaurent Caltech

Kavli Affiliate: Wei Gao| Summary:SRAM-based compute-in-memory (CIM) offers high computational density and energy efficiency for deep neural network (DNN) accelerators, but its limited capacity causes on/off-chip data movement overhead for large DNN models. Existing CIM accelerator studies typically assume that DNN models fit entirely on-chip, leaving efficient dataflow design largely untapped. This paper introduces AccelCIM, […]


Continue.. AccelCIM: Systematic Dataflow Exploration for SRAM Compute-in-Memory Accelerator