arXiv Quantitative Biology @arxiv_bio@qoto.org

Current State and Future Directions for Learning in Biological Recurrent Neural Networks: A Perspective Piece. (arXiv:2105.05382v2 [q-bio.NC] UPDATED) http://arxiv.org/abs/2105.05382

Effect of mobility in the rock-paper-scissor dynamics with high mortality. (arXiv:2111.13635v2 [cond-mat.stat-mech] UPDATED) http://arxiv.org/abs/2111.13635

An approach to interfacing the brain with quantum computers: practical steps and caveats. (arXiv:2201.00817v1 [q-bio.NC]) http://arxiv.org/abs/2201.00817

Selective Inhibition and Recruitment of Linear-Threshold Thalamocortical Networks. (arXiv:2201.00850v1 [q-bio.NC]) http://arxiv.org/abs/2201.00850

Biased Hypothesis Formation From Projection Pursuit. (arXiv:2201.00889v1 [cs.LG]) http://arxiv.org/abs/2201.00889

Neurons as hierarchies of quantum reference frames. (arXiv:2201.00921v1 [q-bio.NC]) http://arxiv.org/abs/2201.00921

CHERRY: a Computational metHod for accuratE pRediction of virus-pRokarYotic interactions using a graph encoder-decoder model. (arXiv:2201.01018v1 [q-bio.GN]) http://arxiv.org/abs/2201.01018

Theoretical model of efficient phagocytosis driven by curved membrane proteins and active cytoskeleton forces. (arXiv:2201.01133v1 [cond-mat.soft]) http://arxiv.org/abs/2201.01133

The Most Difference in Means: A Statistic for Null and Near-Zero Results. (arXiv:2201.01239v1 [stat.ME]) http://arxiv.org/abs/2201.01239

Exact travelling solution for a reaction-diffusion system with a piecewise constant production supported by a codimension-1 subspace. (arXiv:1906.00484v2 [math.DS] UPDATED) http://arxiv.org/abs/1906.00484

Conditional Monte Carlo for Reaction Networks. (arXiv:1906.05353v2 [math.NA] UPDATED) http://arxiv.org/abs/1906.05353

First-Passage Time Statistics on Surfaces of General Shape: Surface PDE Solvers using Generalized Moving Least Squares (GMLS). (arXiv:2102.02421v2 [math.NA] UPDATED) http://arxiv.org/abs/2102.02421

Supervised versus unsupervised learning: approaching optimal memory retrieval in Hopfield networks. (arXiv:2201.00032v1 [cond-mat.dis-nn]) http://arxiv.org/abs/2201.00032

Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments. (arXiv:2201.00042v1 [cs.NE]) http://arxiv.org/abs/2201.00042

Dynamic Persistent Homology for Brain Networks via Wasserstein Graph Clustering. (arXiv:2201.00087v1 [math.AT]) http://arxiv.org/abs/2201.00087

Machine learning analysis of cocaine addiction informed by DAT, SERT, and NET-based interactome networks. (arXiv:2201.00114v1 [q-bio.MN]) http://arxiv.org/abs/2201.00114

Etude de classification des bacteriophages. (arXiv:2201.00126v1 [q-bio.PE]) http://arxiv.org/abs/2201.00126

Challenges of sampling and how phylogenetic comparative methods help: With a case study of the Pama-Nyungan laminal contrast. (arXiv:2201.00195v1 [q-bio.PE]) http://arxiv.org/abs/2201.00195

Evolutionary trend of SARS-CoV-2 inferred by the homopolymeric nucleotide repeats. (arXiv:2201.00238v1 [q-bio.PE]) http://arxiv.org/abs/2201.00238

Drug repurposing for SARS-COV-2: A molecular docking, molecular dynamics, machine learning, and ab initio study. (arXiv:2201.00287v1 [q-bio.BM]) http://arxiv.org/abs/2201.00287