arXiv Quantitative Biology @arxiv_bio@qoto.org

Constraints on the design of neuromorphic circuits set by the properties of neural population codes. (arXiv:2212.04317v1 [cs.NE]) http://arxiv.org/abs/2212.04317

Models Developed for Spiking Neural Networks. (arXiv:2212.04377v1 [cs.NE]) http://arxiv.org/abs/2212.04377

Nondistributivity of human logic and violation of response replicability effect in cognitive psychology. (arXiv:2208.12946v2 [q-bio.NC] UPDATED) http://arxiv.org/abs/2208.12946

Community Report from the Biosignatures Standards of Evidence Workshop. (arXiv:2210.14293v2 [astro-ph.IM] UPDATED) http://arxiv.org/abs/2210.14293

A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers. (arXiv:2211.03079v3 [cs.AR] UPDATED) http://arxiv.org/abs/2211.03079

Giga-SSL: Self-Supervised Learning for Gigapixel Images. (arXiv:2212.03273v1 [cs.CV]) http://arxiv.org/abs/2212.03273

Finding a targetable super-hub within the network of cancer cell persistency and adaptiveness: a clinician-scientist quantitative perspective for melanoma. (arXiv:2212.03290v1 [q-bio.TO]) http://arxiv.org/abs/2212.03290

Supervised Tractogram Filtering using Geometric Deep Learning. (arXiv:2212.03300v1 [cs.CV]) http://arxiv.org/abs/2212.03300

Enhancing Low-Density EEG-Based Brain-Computer Interfaces with Similarity-Keeping Knowledge Distillation. (arXiv:2212.03329v1 [cs.LG]) http://arxiv.org/abs/2212.03329

Quantum spin models for numerosity perception. (arXiv:2212.03344v1 [q-bio.NC]) http://arxiv.org/abs/2212.03344

When Geometric Deep Learning Meets Pretrained Protein Language Models. (arXiv:2212.03447v1 [cs.LG]) http://arxiv.org/abs/2212.03447

Dock2D: Synthetic data for the molecular recognition problem. (arXiv:2212.03456v1 [q-bio.BM]) http://arxiv.org/abs/2212.03456

Complete cavity map of the C. elegans connectome. (arXiv:2212.03660v1 [q-bio.NC]) http://arxiv.org/abs/2212.03660

Expressive architectures enhance interpretability of dynamics-based neural population models. (arXiv:2212.03771v1 [q-bio.NC]) http://arxiv.org/abs/2212.03771

BiPMAP: A Toolbox for Predictions of Perceived Motion Artifacts on Modern Displays. (arXiv:2212.03854v1 [eess.SP]) http://arxiv.org/abs/2212.03854

COmic: Convolutional Kernel Networks for Interpretable End-to-End Learning on (Multi-)Omics Data. (arXiv:2212.02504v1 [q-bio.QM]) http://arxiv.org/abs/2212.02504

Shared Differential Clustering across Single-cell RNA Sequencing Datasets with the Hierarchical Dirichlet Process. (arXiv:2212.02505v1 [q-bio.GN]) http://arxiv.org/abs/2212.02505

Algebraic network reconstruction of discrete dynamical systems. (arXiv:2212.02601v1 [q-bio.QM]) http://arxiv.org/abs/2212.02601

Systematic Analysis of Biomolecular Conformational Ensembles with PENSA. (arXiv:2212.02714v1 [q-bio.BM]) http://arxiv.org/abs/2212.02714

Improving Molecule Properties Through 2-Stage VAE. (arXiv:2212.02750v1 [cs.LG]) http://arxiv.org/abs/2212.02750