Using an unbiased approach, this important study discovered a role of Ezh2 in the differentiation of granule neuron precursors, the cell of origin for Shh group of medulloblastoma. Furthermore, the ...

A differentiable variant of the Gillespie algorithm enables gradient-based optimization for stochastic chemical kinetics, facilitating efficient parameter estimation and the design of biochemical ...

Contemporary modeling approaches to the dynamics of neural networks include two important classes of models: biologically grounded spiking neuron models and functionally inspired rate-based units. We ...

In its full sense, perception rests on an agent's model of how its sensory input comes about and the inferences it draws based on this model. These inferences are necessarily uncertain. Here, we ...

However, withdrawals from these accounts for non-qualified education expenses can be subject to taxes plus an additional 10% penalty. Fortunately, this penalty doesn’t apply under certain ...

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

The UK could face 66 HOURS of snow "non-stop" as a wintry shift sweeps the country. New weather data by WXCharts.com shows that the UK could be set for nearly three days of snow before the end of ...

Department of Biomedical Engineering, School of Medical Engineering, Xinxiang Medical University, Xinxiang, 453003, China Department of Finemechanics, Graduate School of Engineering, Tohoku University ...

Applied mathematics, nonlinear waves, solitons, integrable systems, inverse problems, applied probability, stochastic processes, optics. The study of physical phenomena by means of mathematical models ...