arXiv Quantitative Biology @arxiv_bio@qoto.org

Prediction of fitness in bacteria with causal jump dynamic mode decomposition. (arXiv:2006.12726v1 [math.OC]) http://arxiv.org/abs/2006.12726

Pycro-manager: open-source software for integrated microscopy hardware control and image processing. (arXiv:2006.11330v1 [q-bio.QM]) http://arxiv.org/abs/2006.11330

Predictions in the eye of the beholder: an active inference account of Watt governors. (arXiv:2006.11495v1 [q-bio.NC]) http://arxiv.org/abs/2006.11495

Chaos may enhance expressivity in cerebellar granular layer. (arXiv:2006.11532v1 [q-bio.NC]) http://arxiv.org/abs/2006.11532

Weakly-correlated synapses promote dimension reduction in deep neural networks. (arXiv:2006.11569v1 [cs.LG]) http://arxiv.org/abs/2006.11569

Temporal data series of COVID-19 epidemics in the USA, Asia and Europe suggests a selective sweep of SARS-CoV-2 Spike D614G variant. (arXiv:2006.11609v1 [q-bio.PE]) http://arxiv.org/abs/2006.11609

COVID-19 in Mexico: A Network of Epidemics. (arXiv:2006.11635v1 [physics.soc-ph]) http://arxiv.org/abs/2006.11635

Spatial Variations in the Physico-chemical Variables and Macrobenthic Invertebrate Assemblage of a Tropical River in Nigeria. (arXiv:2006.11664v1 [q-bio.QM]) http://arxiv.org/abs/2006.11664

Unsupervised Learning of Deep-Learned Features from Breast Cancer Images. (arXiv:2006.11843v1 [eess.IV]) http://arxiv.org/abs/2006.11843

A Novel Epidemiological Approach to Geographically Mapping Population Dry Eye Disease in the United States through Google Trends. (arXiv:2006.11955v1 [q-bio.PE]) http://arxiv.org/abs/2006.11955

Toward the biological model of the hippocampus as the successor representation agent. (arXiv:2006.11975v1 [q-bio.NC]) http://arxiv.org/abs/2006.11975

An adversarial algorithm for variational inference with a new role for acetylcholine. (arXiv:2006.10811v1 [q-bio.NC]) http://arxiv.org/abs/2006.10811

N=1 Modelling of Lifestyle Impact on SleepPerformance. (arXiv:2006.10884v1 [cs.CY]) http://arxiv.org/abs/2006.10884

Wave Propagation of Visual Stimuli in Focus of Attention. (arXiv:2006.11035v1 [cs.CV]) http://arxiv.org/abs/2006.11035

The interplay between randomness and structure during learning in RNNs. (arXiv:2006.11036v1 [q-bio.NC]) http://arxiv.org/abs/2006.11036

Oscillatory background activity implements a backbone for sampling-based computations in spiking neural networks. (arXiv:2006.11099v1 [q-bio.NC]) http://arxiv.org/abs/2006.11099

Physics of Psychophysics: two coupled square lattices of spiking neurons have huge dynamic range at criticality. (arXiv:2006.11254v1 [nlin.AO]) http://arxiv.org/abs/2006.11254

Computational model on COVID-19 Pandemic using Probabilistic Cellular Automata. (arXiv:2006.11270v1 [physics.soc-ph]) http://arxiv.org/abs/2006.11270

Quasi-Stationary Distributions and Resilience: What to get from a sample?. (arXiv:1906.05635v4 [math.PR] UPDATED) http://arxiv.org/abs/1906.05635

Semantic and Cognitive Tools to Aid Statistical Science: Replace Confidence and Significance by Compatibility and Surprise. (arXiv:1909.08579v4 [stat.ME] UPDATED) http://arxiv.org/abs/1909.08579