The ion channel genealogy resource is a comprehensive and intuitive comparison tool for ion channel models and experimental data, helping to visualize their similarity and function to facilitate better experimentally-constrained modeling.
High-resolution fluorescence imaging of the complete mouse brain enables many neurons to be efficiently visualized in their entirety, revealing all targets of neurons that project widely across the brain.
Hybrid brain network models predict neurophysiological processes that link structural and functional empirical data across scales and modalities in order to better understand neural information processing and its relation to brain function.
The three main types of inhibitory neurons in mouse primary visual cortex respond differently to locomotion in darkness and during visual stimulation, revealing context-dependent responses to changes in behavioral state.
Random fluctuations in neuronal firing may enable a single brain region, the medial entorhinal cortex, to perform distinct roles in cognition (by generating gamma waves) and spatial navigation (by producing a grid cell map).
Independent coding without synaptic coordination explains complex sequences of population activity observed during theta states and maximizes the number of distinct environments that can be encoded through population theta sequences.
Cortex dynamically regulates the flow of sensory information by suppressing responses of non-relevant stimuli through mechanisms of adaptation, while boosting sensory responses that are behaviorally important.