Computational modeling of cognitive and neuroscience data is an insightful and powerful tool, but has many potential pitfalls that can be avoided by following simple guidelines.

Computational modeling reveals the mechanisms by which a diverse group of neurons in the brainstem generates rhythmic breathing in mammals.

A new computational model of brainstem control of locomotor speed and gait was developed to reproduce and explain recent experimental data and propose predictions for subsequent experimental testing.

Organization of commissural and long propriospinal neuronal pathways defines gait expression in quadrupeds.

Computational modeling and analysis of mouse neural population data finds that the excitation/inhibition imbalance theory of brain disorders is too limited to account for key changes in neural activity statistics.

Theoretical ideas have a rich history in many areas of biology, and new theories and mathematical models have much to offer in the future.

Human Neocortical Neurosolver is a new user-friendly software tool for researchers to develop and test hypotheses on cellular/circuit origins of human MEG/EEG signals using a biophysical model.

Attenuated anticipatory activity in ventromedial prefrontal cortex is modulated by dopamine D1 receptor density in nucleus accumbens, and accounts for impaired probabilistic reward learning in older adults.

A homopolymer-sphere model is shown to accurately reproduce the interactions that underpin selective gating of macromolecular transport into and out of the cell nucleus.