Fueled by breakthrough technology developments, the biological, biomedical, and
behavioral sciences are now collecting more data than ever before. There is a critical need …

Abstract Machine learning is increasingly recognized as a promising technology in the
biological, biomedical, and behavioral sciences. There can be no argument that this …

Brian 2 allows scientists to simply and efficiently simulate spiking neural network models.
These models can feature novel dynamical equations, their interactions with the …

Biophysical modeling of neuronal networks helps to integrate and interpret rapidly growing
and disparate experimental datasets at multiple scales. The NetPyNE tool (www. netpyne …

Computational models are powerful tools for exploring the properties of complex biological
systems. In neuroscience, data-driven models of neural circuits that span multiple scales are …

We developed a detailed model of macaque auditory thalamocortical circuits, including
primary auditory cortex (A1), medial geniculate body (MGB), and thalamic reticular nucleus …

From the computational point of view, musculoskeletal control is the problem of controlling
high degrees of freedom and dynamic multi-body system that is driven by redundant muscle …

Pain-related sensory input is processed in the spinal dorsal horn (SDH) before being
relayed to the brain. That processing profoundly influences whether stimuli are correctly or …

Abstract Integrating Artificial Intelligence (AI) and Machine Learning (ML) into mechanical
engineering catalyzes a transformative shift within Industry 4.0, offering unprecedented …

The develo** visual thalamus and cortex extract positional information encoded in the
correlated activity of retinal ganglion cells by synaptic plasticity, allowing for the refinement …