arXiv Quantitative Biology @arxiv_bio@qoto.org

SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks. (arXiv:2107.05747v3 [cs.LG] UPDATED) http://arxiv.org/abs/2107.05747

The evolution of forecasting for decision making in dynamic environments. (arXiv:2108.00047v2 [q-bio.PE] UPDATED) http://arxiv.org/abs/2108.00047

Low-Level Physiological Implications of End-to-End Learning of Speech Recognition. (arXiv:2208.11700v1 [q-bio.NC]) http://arxiv.org/abs/2208.11700

Population recordings of human motor units often display 'onion skin' discharge patterns -- implications for voluntary motor control. (arXiv:2208.11783v1 [q-bio.NC]) http://arxiv.org/abs/2208.11783

On the Diffusion Time Evolution of Folding Chains in the Heteropolymer Model. (arXiv:2208.11805v1 [math.DS]) http://arxiv.org/abs/2208.11805

Data-driven Discovery of Chemotactic Migration of Bacteria via Machine Learning. (arXiv:2208.11853v1 [q-bio.QM]) http://arxiv.org/abs/2208.11853

SCN 1A /Na V 1.1 channelopathies: Mechanisms in expression systems, animal models, and human iPSC models. (arXiv:2208.11963v1 [q-bio.TO]) http://arxiv.org/abs/2208.11963

Analysis of COVID-19 in India using vaccine epidemic model incorporating vaccine effectiveness and herd immunity. (arXiv:2208.11998v1 [q-bio.PE]) http://arxiv.org/abs/2208.11998

An SIR model with viral load--dependent transmission. (arXiv:2208.12004v1 [nlin.AO]) http://arxiv.org/abs/2208.12004

Integrating Statistical and Machine Learning Approaches to Identify Receptive Field Structure in Neural Populations. (arXiv:2208.12025v1 [q-bio.NC]) http://arxiv.org/abs/2208.12025

How (and Why) to Think that the Brain is Literally a Computer. (arXiv:2208.12032v1 [q-bio.NC]) http://arxiv.org/abs/2208.12032

Controlling collective dynamical states of mesoscale brain networks with local perturbations. (arXiv:2208.12231v1 [q-bio.NC]) http://arxiv.org/abs/2208.12231

Retrieval-based Controllable Molecule Generation. (arXiv:2208.11126v1 [q-bio.QM]) http://arxiv.org/abs/2208.11126

Collective targeted migrations: a balancing act involving aggregation, group size and environmental clues: a simulation study. (arXiv:2208.11145v1 [q-bio.OT]) http://arxiv.org/abs/2208.11145

Memory capacity of adaptive flow networks. (arXiv:2208.11192v1 [cond-mat.soft]) http://arxiv.org/abs/2208.11192

POPDx: An Automated Framework for Patient Phenotyping across 392,246 Individuals in the UK Biobank Study. (arXiv:2208.11223v1 [q-bio.QM]) http://arxiv.org/abs/2208.11223

Reliability of COVID-19 data and government policies. (arXiv:2208.11226v1 [physics.soc-ph]) http://arxiv.org/abs/2208.11226

Revised calculation of the coefficient of parentage in plant breeding. (arXiv:2208.11233v1 [q-bio.PE]) http://arxiv.org/abs/2208.11233

Secondary Protein Structure Prediction Using Neural Networks. (arXiv:2208.11248v1 [cs.LG]) http://arxiv.org/abs/2208.11248

An Extension of Goldman-Hodgkin-Katz Equations by Charges from Ionic Solution and Ion Channel Protein. (arXiv:2208.11293v1 [q-bio.BM]) http://arxiv.org/abs/2208.11293