The Allen Institute for Brain Science aims to further our understanding of neuronal cell types by describing the patterns of connectivity among them and characterizing their synaptic signaling. The Synaptic Physiology project advances this goal by examining the intralaminar connectivity between neuronal subclasses? in human and mouse cortex via in vitro electrophysiology. This dataset is readily accessible and produced using standardized experimental methods and analysis. The applications of the dataset are wide-ranging, as the data are suited to parameterize synaptic modeling studies, address higher-order connectivity questions, and inform current comprehension of the cortical microcircuit.
synaptic connectivity |
strength & kinetics | short-term plasticity |
Measurements of connection probability between cortical cell subclasses and the relationship to intersomatic distance. more... | Synaptic strength, latency, and rise/decay kinetics derived from current and voltage clamp recordings. more... |
Short-term plasticity induced by stimulus trains with varying spike timing. more... |
How to cite this dataset:
© 2019 Allen Institute for Brain Science. Synaptic Physiology Coarse Matrix dataset. Available from: https://brain-map.org/explore/connectivity/synaptic-physiology
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