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Temporal patterns of action potentials influence a variety of activity-dependent intra- and intercellular processes and play an important role in theories of neural coding. Elucidating the mechanisms underlying these phenomena requires imposing spike trains with precisely defined patterns, but this has been challenging due to the limitations of existing stimulation techniques. Here we present a new nanostimulation method providing control over the action potential output of individual cortical neurons. Spikes are elicited through the juxtacellular application of short-duration fluctuating currents (“kurzpulses”), allowing for the sub-millisecond precise and reproducible induction of arbitrary patterns of action potentials at all physiologically relevant firing frequencies ( NEW & NOTEWORTHY Assessing the impact of temporal features of neuronal spike trains requires imposing arbitrary patterns of spiking on individual neurons during behavior, but this has been difficult to achieve due to limitations of existing stimulation methods. We present a technique that overcomes these limitations by using carefully designed short-duration fluctuating juxtacellular current injections, which allow for the precise and reliable evocation of arbitrary patterns of neuronal spikes in single neurons in vivo.

SummaryLocal inhibitory microcircuits in the medial entorhinal cortex (MEC) and their role in network activity are little investigated. Using a combination of electrophysiological, optical, and morphological circuit analysis tools, we find that layer II stellate cells are embedded in a dense local inhibitory microcircuit. Specifically, we report a gradient of inhibitory inputs along the dorsoventral axis of the MEC, with the majority of this local inhibition arising from parvalbumin positive (PV+) interneurons. Finally, the gradient of PV+ fibers is accompanied by a gradient in the power of extracellular network oscillations in the gamma range, measured both in vitro and in vivo. The reported differences in the inhibitory microcircuitry in layer II of the MEC may therefore have a profound functional impact on the computational working principles at different locations of the entorhinal network and influence the input pathways to the hippocampus.

SummaryDendritic structure critically determines the electrical properties of neurons and, thereby, defines the fundamental process of input-to-output conversion. The diversity of dendritic architectures enables neurons to fulfill their specialized circuit functions during cognitive processes. It is known that this dendritic integrity is impaired in patients with Alzheimer’s disease and in relevant mouse models. It is unknown, however, whether this structural degeneration translates into aberrant neuronal function. Here we use in vivo whole-cell patch-clamp recordings, high-resolution STED imaging, and computational modeling of CA1 pyramidal neurons in a mouse model of Alzheimer’s disease to show that structural degeneration and neuronal hyperexcitability are crucially linked. Our results demonstrate that a structure-dependent amplification of synaptic input to action potential output conversion might constitute a novel cellular pathomechanism underlying network dysfunction with potential relevance for other neurodegenerative diseases with abnormal changes of dendritic morphology.