Evidence for long-timescale patterns of synaptic inputs in CA1 of awake behaving mice

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Kolb I*, Franzesi GT*, Wang M, Kodandaramaiah SB, Forest CR, Boyden ES+, Singer AC+ (2017) Evidence for long-timescale patterns of synaptic inputs in CA1 of awake behaving mice, Journal of Neuroscience, doi:10.1523/JNEUROSCI.1519-17.2017. [Epub ahead of print] (*, co-first authors; +, co-corresponding authors)

Repeated sequences of neural activity are a pervasive feature of neural networks in vivo and in vitro. In the hippocampus, sequential firing of many neurons over 100-300 ms periods re-occurs during behavior and during periods of quiescence. However, it is not known whether the hippocampus produces longer sequences of activity or whether such sequences are restricted to specific network states. Furthermore, whether long repeated patterns of activity are transmitted to single cells downstream is unclear. To answer these questions, we recorded intracellularly from hippocampal CA1 of awake, behaving male mice, to examine both subthreshold activity and spiking output in single neurons. In 8/9 recordings, we discovered long (900 ms) reoccurring subthreshold fluctuations or “repeats”. Repeats generally were high-amplitude, non-oscillatory events reoccurring with 10 millisecond precision. Using statistical controls, we determined that repeats occurred more often than would be expected from unstructured network activity (e.g. by chance). Most spikes occurred during a repeat and when a repeat contained a spike, the spike reoccurred with precision on the order of 20 ms or less, showing that long repeated patterns of subthreshold activity are strongly connected to spike output. Unexpectedly, we found that repeats occurred independently of classic hippocampal network states like theta oscillations or sharp-wave ripples. Together, these results reveal surprisingly long patterns of repeated activity in the hippocampal network that occur non-stochastically, are transmitted to single downstream neurons, and strongly shape their output. This suggests that the timescale of information transmission in the hippocampal network is much longer than previously thought.