Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...

fDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA gDepartment of Radiation Oncology, University of Michigan Hospital, Ann Arbor, MI, USA hInstitute of Neuroscience and ...

To navigate the world around us, we can use different actions, such as walking, swimming, or climbing. How does our brain compute and represent such locomotive action affordances? Here, we show that ...

Which learning goals must individual computational elements pursue to contribute to a network-level task solution? This local understanding is missing in both biological, but also artificial neural ...

Artificial Immune Systems Package (AISP) is an open-source Python library that features bio-inspired algorithms based on artificial immune systems for machine learning, pattern recognition, anomaly ...

OPTICS is a density-based clustering algorithm available in the PyClustering library. PyClustering is an open-source data mining package designed for Python and C++. The library enhances cluster ...

Experimental studies support the notion of spike-based neuronal information processing in the brain, with neural circuits exhibiting a wide range of temporally-based coding strategies to rapidly and ...