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.
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.
A new probabilistic model of connectivity reveals the structural and functional properties of the neural networks controlling locomotion in many individual tadpoles.
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.
Model-based imaging shows that the rostrolateral prefrontal cortex supports dissimilarity-based heuristics that people may use when they are confronted with ambiguous scenarios.
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.
Influenza transmission among ferrets correlates strongly with transmission among humans, so the ferret model for influenza transmission is a valid tool for pandemic potential in humans.
Experimental determination of residue contacts from mutational data allows model discrimination and identification of in vivo functional conformations of proteins.
A novel analysis of neural activity recorded in monkeys performing a “brain-machine interface” task reveals that a mismatch between motor effectors and the brains’ internal models of those effectors can explain a substantial portion of movement errors.
