Field potential signature of distinct multicellular activity patterns in the mouse hippocampus.

Cognitive functions go along with complex patterns of distributed activity in neuronal networks, thereby forming assemblies of selected neurons. To support memory processes, such assemblies have to be stabilized and reactivated in a highly reproducible way. The rodent hippocampus provides a well studied model system for network mechanisms underlying spatial memory formation. Assemblies of place-encoding cells are repeatedly activated during sleep-associated network states called sharp wave-ripple complexes (SPW-Rs). Behavioral studies suggest that at any time the hippocampus harbors a limited number of different assemblies that are transiently stabilized for memory consolidation. We hypothesized that the corresponding field potentials (sharp wave-ripple complexes) contain a specific signature of the underlying neuronal activity patterns. Hence, they should fall into a limited number of different waveforms. Application of unbiased sorting algorithms to sharp wave-ripple complexes in mouse hippocampal slices did indeed reveal the reliable recurrence of defined waveforms that were robust over prolonged recording periods. Single-unit discharges tended to fire selectively with certain SPW-R classes and were coupled above chance level. Thus, field SPW-Rs of different waveforms are directly related to the underlying multicellular activity patterns that recur with high fidelity. This direct relationship between the coordinated activity of distinct groups of neurons and macroscopic electrographic signals may be important for cognition-related physiological studies in humans and behaving animals.