Our article offers an answer to a foundational question in psychology and neuroscience: how do people learn from rewards and punishments? Specifically, we introduce a computational model of human ...

This work will be of interest to the motor control community as well as neuroAI researchers interested in how bodies constrain neural circuit function. The authors present "MotorNet", a useful ...

A lot of software developers are drawn to Python due to its vast collection of open-source libraries. Lately, there have been a lot of libraries cropping up in the realm of Machine Learning (ML) and ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Modeling in systems and synthetic biology relies on accurate parameter estimates and ...

the true causal graph, for benchmarking causal discovery; 4000 rows of observational training data; 2000 rows of observational test data; interventional test data, for benchmarking estimation of ...

Numerov’s numerical method is developed in a didactic way by using Python in its Jupyter Notebook version 6.0.3 for three different quantum physical systems: the hydrogen atom, a molecule governed by ...

The calculation of derivatives is ubiquitous in science and engineering. In thermodynamics, in particular, state properties can be expressed as derivatives of thermodynamic potentials. The manual ...

The DLR Thermofluid Stream Library is a free open-source library for the robust modeling of complex thermofluid architectures. Designed to be easy to use and easy to adapt and enriched by a number of ...

Let’s face it, robots are cool. They’re also going to run the world some day, and hopefully, at that time they will take pity on their poor soft fleshy creators (a.k.a. robotics developers) and help ...