The deer mouse (Peromyscus) has emerged as a model system for studying many aspects of biology, supported by extensive historical knowledge of its fascinating and varied natural history.
Direct in-vivo measurements in the human brain test validity of detailed computational models of trancranial electric stimulation and show that electric fields in the brain are weaker than currently assumed.
Spontaneous theta oscillations and interneuron-specific phase preferences emerge spontaneously in a full-scale model of the isolated hippocampal CA1 subfield, corroborating and extending recent experimental findings.
A new probabilistic model of connectivity reveals the structural and functional properties of the neural networks controlling locomotion in many individual tadpoles.
Leave-One-Trial-Out (LOTO) is a general, efficient and easily implementable approach for inferring trial-by-trial measures of computational model parameters in order to link these measures to neural mechanisms.
Model-based imaging shows that the rostrolateral prefrontal cortex supports dissimilarity-based heuristics that people may use when they are confronted with ambiguous scenarios.
A spiking network model that examines the transformation of odor information from olfactory bulb to piriform cortex demonstrates how intrinsic cortical circuitry preserves representations of odor identity across odorant concentrations.
An unbiased model for the self-organisation of the Golgi apparatus displays either anterograde vesicular transport or cisternal maturation depending on ratios of budding, fusion and biochemical conversion rates.
Deep neural networks can be trained to automatically find mechanistic models which quantitatively agree with experimental data, providing new opportunities for building and visualizing interpretable models of neural dynamics.
