A taxonomy of SNN training algorithms is presented with the release of NeuroTrain, an open benchmarking framework for reproducible comparisons across datasets and architectures.
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Canonical reference. 86% of citing Pith papers cite this work as background.
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representative citing papers
Discourse among AI agents on Moltbook is largely determined by architectural constraints like context windows and identity files, appearing as social learning but actually short-horizon contextual conditioning.
TikTok formally complies with DSA rules against profiling minors but delivers 5-8 times stronger interest-based targeting through undisclosed influencer and promotional content.
Optimal resilience configurations exist for networks with three or more nodes, with primary links scaling as O(N^{-1}) and background links as O(N^{-2}) with logarithmic corrections.
DLCM is a lattice-based stochastic solver for multicellular systems that introduces elliptic projection to couple cell pressure with population curvature for surface tension effects.
CDER-SME provides 1,963 expert-annotated Event-RGB micro-expression samples from 92 subjects under multi-level stress, with a hardware-agnostic alignment pipeline and a multimodal baseline showing fusion gains.
OlfactProfile shows structured field-wise profile conditioning improves odor prediction from audiovisual content over naive methods, with gains on background and emotion odors in a new 1,350-clip benchmark using the OAR fusion module.
Frontier LLMs exhibit frame-dependent Bitcoin preferences; a sparse autoencoder feature in Gemma 3 causally modulates portfolio shares by 4-5 percentage points when amplified or suppressed.
Existing visual attribution methods often fail to identify the visual evidence used by LVLMs in chest X-ray reasoning, while MedFocus using unbalanced optimal transport and targeted interventions substantially outperforms them across multiple models and settings.
Unifies multiple nestedness measures in higher-order networks via the encapsulation DAG and demonstrates that nested structure is prevalent in social systems while its absence indicates mesoscale organization.
AI coding tools divide into collaborators that initiate most PRs and assistants that support human-led ones, yet humans retain merge authority across all five tools examined.
A new Bayesian multiscale framework with cut inference jointly models heterogeneous viral load trajectories and household transmission, recovering parameters without bias on simulated data when viral sampling is frequent.
The adaptive bounded-rationality model anticipates hazardous takeovers with better coverage and lead time than baselines while aligning inferred parameters with eye-tracking metrics.
Glide-in-Place uses per-foot pressure sensing for continuous differential-drive VR locomotion, outperforming seated walking-in-place on speed and fatigue while matching joystick performance on simulator sickness in a 16-person study.
A Pretty Good Measurement classifier reformulates multi-class radiomics as quantum state discrimination and achieves competitive performance on NSCLC subtyping and PCa risk tasks.
Survey of 868 scientific programmers shows generative AI adoption is highest among the inexperienced, who prefer conversational tools, and perceived productivity correlates most with volume of accepted generated code rather than validation practices.
A new algorithm simulates exact trajectories of bursty PDMP models for arbitrary interacting genes at lower cost than SSA, with a toggle-switch example showing bimodal expression arises from interaction-driven burst frequencies rather than bursting alone.
SenseWalk is an LLM-powered agent-based simulation system for semantic trajectories that combines LLMs with the social force model, supported by a user interface, quantitative evaluation, and a user study with 12 participants.
Expert survey finds acceptability of visualization alterations driven by transformation meaning, with AI changes rated less acceptable than identical human ones.
Coverage bias in GPS mobility data is source-specific and spatially dependent, with Facebook showing more even coverage than multi-app data and different dominant drivers for each.
IUU+DB is an LLM-driven pipeline that classifies documents, extracts structured incident data on IUU+ activities, and supports deduplication and trend analysis.
SSL speech representations outperform hand-crafted features at lower cognitive hierarchy levels but reverse for MCI classification, with greater response freedom in tasks linked to performance dilution at higher levels and structured tasks showing the opposite pattern.
Generalizes L-Modularity into a unified framework for community detection in complex link streams that include delayed, directed, weighted, and multipartite interactions.
Human-human interaction in RPS can produce higher Lempel-Ziv complexity sequences than RNG opponents via sensitivity to recent frequency biases, most evident in low-entropy opponent states.
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