Over three decades ago, real-time software was predominantly written in assembly language or a combination of assembly and the C programming language. Even today, certain digital signal processing ...
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 ...
GPUs have become a household name in High Performance Computing (HPC) systems over the last 15 years. However, programming GPUs is still largely a manual and arduous task, which requires expert ...
The use of enhanced sampling simulations is essential in the study of complex physical, chemical, and biological processes. We devise a procedure that, by combining machine learning and biased ...
The general goal of SimTools is to support reproducibility in computational modeling by aiding in organization of data generated during simulations and related metadata. SimTools are organized into ...
The drift-diffusion model (DDM) is an important decision-making model in cognitive neuroscience. However, innovations in model form have been limited by methodological challenges. Here, we introduce ...
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