The human brain is capable of implementing inverse reinforcement learning, where an observer infers the hidden reward structure of a decision problem solely through observing another individual take actions.
Multi-modal structural data fusion questions the specificity of fMRI-behavior associations by providing strong evidence relating human brain structure to a wide range of behavioral measures previously associated to functional connectivity.
Viral transduction and gene manipulation of adult human brain slices will be of great value allowing investigations including therapeutic screening, electrophysiological and structural studies of properties of human CNS circuitry.
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.
Combining GABA with fMRI measurements in the human brain uncovers distinct suppression mechanisms that optimize perceptual decisions through learning and experience-dependent plasticity in the visual cortex.