The complexities of modern biomedicine are rapidly increasing. Thus, modeling and
simulation have become increasingly important as a strategy to understand and predict the …

Due to its complex and multifaceted nature, developing effective treatments for epilepsy is
still a major challenge. To deal with this complexity we introduce the concept of degeneracy …

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

Magneto-and electro-encephalography (MEG/EEG) non-invasively record human brain
activity with millisecond resolution providing reliable markers of healthy and disease states …

Every neuron is part of a network, exerting its function by transforming multiple
spatiotemporal synaptic input patterns into a single spiking output. This function is specified …

The purpose of this study is to develop a primary motor cortex (M1)-basal ganglia–thalamus
model capable of reproducing the physiological phenomenon of exaggerated phase …

Modeling and simulation in computational neuroscience is currently a research enterprise to
better understand neural systems. It is not yet directly applicable to the problems of patients …

Degeneracy is ubiquitous across biological systems where structurally different elements
can yield a similar outcome. Degeneracy is of particular interest in neuroscience too. On the …

The primary motor cortex (M1) contains interconnected and diverse layers that play an
important role in motor execution. In recent years, M1 has emerged as one of the hot targets …

Understanding cortical function requires studying multiple scales: molecular, cellular, circuit,
and behavioral. We develop a multiscale, biophysically detailed model of mouse primary …