Tootfinder

High-Resolution Directional Depth Electrodes: Open-Source FEM Lead-Field Modeling, Characterization, and Validation
Takfarinas Medani, Jace Willis, Chris Wright, Yash Vakilna, Ryan Shores, Raymundo Cassani, Anand Joshi, Richard Leahy, John Seymour, John Mosher
https://arxiv.org/abs/2508.13212

High-Resolution Directional Depth Electrodes: Open-Source FEM Lead-Field Modeling, Characterization, and Validation
Depth electrodes used in stereoelectroencephalography (sEEG) and deep-brain stimulation (DBS) are essential tools for neural recording and stimulation. Traditional designs have limited spatial resolution, typically 8 to 16 cylindrical contacts (0.8 to 1.0 mm diameter) along a 5 to 10 cm shaft, restricting recordings from small or localized populations. Recent high-density, directional electrodes (HDsEEG) enable finer localization of local field potentials (LFPs) and spike timing. Yet, character…

pycnet-audio: A Python package to support bioacoustics data processing
Zachary J. Ruff, Damon B. Lesmeister
https://arxiv.org/abs/2506.14864 https://

pycnet-audio: A Python package to support bioacoustics data processing
Passive acoustic monitoring is an emerging approach in wildlife research that leverages recent improvements in purpose-made automated recording units (ARUs). The general approach is to deploy ARUs in the field to record on a programmed schedule for extended periods (weeks or months), after which the audio data are retrieved. These data must then be processed, typically either by measuring or analyzing characteristics of the audio itself (e.g. calculating acoustic indices), or by searching for s…

Recording: Intel's new CEO Lip-Bu Tan told staff that Intel is no longer "in the top 10 semiconductor companies" and it is "too late" to catch up to Nvidia (Mike Rogoway/Oregonian)
https://www.oregonlive.com/silicon-forest/…

Intel’s CEO: ‘We are not in the top 10’ of leading chip companies
"I think is too late for us" to catch up with Nvidia's position in AI, said Lip-Bu Tan. But he said Intel has other opportunities in the field.

Field-free perpendicular magnetization switching by altermagnet with collinear spin current
M. Q. Dong, Zhi-Xin Guo, Xin-Gao Gong
https://arxiv.org/abs/2506.10336

Field-free perpendicular magnetization switching by altermagnet with collinear spin current
The generation of collinear spin current (CSC), where both the propagation direction and spin-polarized direction aligned perpendicularly to the applied charge current, is crucial for efficiently manipulating systems with perpendicular magnetic anisotropy used in high-density magnetic recording. However, the efficient generation of CSC remains a challenge. In this work, based on the symmetry analysis, we propose that CSC can be effectively generated using altermagnets when the charge current is…

#NowPlaying Guided by Julian Cope’s “The Modern Antiquarian” and Aurbrey Burl’s “A Guide to the Stone Circles of Britain”, Llyn Y Cwn aka Ben Powell makes abyssal dark ambient soundscapes with site-specific field recordings from Wales and beyond. https://…

Llyn Y Cwn
Llyn Y Cwn is a field recording based dark ambient project with focus on atmosphere, immersion and environment. Ben Powell has been making electronic music since the 90s, drawing inspiration from his native North Wales landscape and his participation on Arctic research cruises. Llyn Y Cwn (Welsh - lake of the dogs) is a small lake at 715m in the Glyder mountain range of Snowdonia, North Wales.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons
Luca Di Carlo, Francesca Mignacco, Christopher W. Lynn, William Bialek
https://arxiv.org/abs/2508.02633

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons
Recent advances in experimental techniques enable the simultaneous recording of activity from thousands of neurons in the brain, presenting both an opportunity and a challenge: to build meaningful, scalable models of large neural populations. Correlations in the brain are typically weak but widespread, suggesting that a mean-field approach might be effective in describing real neural populations, and we explore a hierarchy of maximum entropy models guided by this idea. We begin with models that…

Factorization method for near-field inverse scattering problems in elastodynamics
Chun Liu, Guanghui Hu, Tao Yin, Bo Zhang
https://arxiv.org/abs/2505.24288

Factorization method for near-field inverse scattering problems in elastodynamics
Consider a time-harmonic elastic point source incident on a bounded obstacle which is embedded in an open space filled with a homogeneous and isotropic elastic medium. This paper is concerned with the inverse problem of recovering the location and shape of the obstacle from near-field data generated by infinitely many incident point source waves at a fixed energy. The incident point sources and the receivers for recording scattered signals are both located on a spherical closed surface, on whic…

FED-PV: A Large-Scale Synthetic Frame/Event Dataset for Particle-Based Velocimetry
Fan Wu, Xiang Feng, Aoyu Zhang, Yong Lee
https://arxiv.org/abs/2507.06247

FED-PV: A Large-Scale Synthetic Frame/Event Dataset for Particle-Based Velocimetry
Particle-based velocimetry (PV) is a widely used technique for non-invasive flow field measurements in fluid mechanics. Existing PV measurements typically rely on a single type of particle recording. With advancements in deep learning and information fusion, incorporating multiple different particle recordings presents a promising avenue for next-generation PV measurement techniques. However, we argue that the lack of cross-modal datasets -- combining frame-based recordings and event-based reco…