Biology subjects

Skinner, F. K.

Publications and source records attributed to Skinner, F. K..

5 recordsLinked to original sources

bioRxiv2020

Deciphering how specialized interneuron-specific cell types contribute to circuit function

The wide diversity of inhibitory cells across the brain makes them suitable to contribute to network dynamics in specialized fashions. However, the contributions of a particular inhibitory cell type in a behaving animal are challenging to untangle as one needs to both record cellular activities and identify the cell type being recorded. Thus, using computational modeling and theory to predict and hypothesize cell-specific contributions is desirable. Here, we examine potential contributions of interneuron-specific 3 (I-S3) cells - an inhibitory interneuron found in CA1 hippocampus that only targets other inhibitory interneurons - during simulated theta rhythms. We use previously developed multi-compartment models of oriens lacunosum-moleculare (OLM) cells, the main target of I-S3 cells, and explore how I-S3 cell inputs during in vitro and in vivo scenarios contribute to theta. We find that I-S3 cells suppress OLM cell spiking, rather than engender its spiking via post-inhibitory rebound mechanisms, and contribute to theta frequency spike resonance during simulated in vivo scenarios. To elicit recruitment similar to in vitro experiments, inclusion of disinhibited pyramidal cell inputs is necessary, implying that I-S3 cell firing broadens the window for pyramidal cell disinhibition. Using in vivo virtual networks, we show that I-S3 cells contribute to a sharpening of OLM cell recruitment at theta frequencies. Further, shifting the timing of I-S3 cell spiking due to external modulation shifts the timing of the OLM cell firing and thus disinhibitory windows. We propose a specialized contribution of I-S3 cells to create temporally precise coordination of modulation pathways. New & NoteworthyHow information is processed across different brain structures is an important question that relates to the different functions that the brain performs. Using modelling and theoretical analyses, we show that an inhibitory cell type that only inhibits other inhibitory cells can broaden the window for disinhibition of excitatory cells, manage input pathway switching, and modulate inhibitory cell spiking. This work contributes to knowledge of how coordination between sensory and memory consolidation information can be attained.

neuroscience↗

bioRxiv2020

Inter-species h-current differences influence resonant properties in a novel human cortical layer 5 neuron model

While our understanding of human neurons is often inferred from rodent data, inter-species differences between neurons can be captured by building cellular models specifically from human data. This includes understanding differences at the level of ion channels and their implications for human brain function. Thus, we here present a full spiking, biophysically-detailed multi-compartment model of a human layer 5 (L5) cortical pyramidal cell. Model development was primarily based on morphological and electrophysiological data from the same human L5 neuron, avoiding confounds of experimental variability. Focus was placed on describing the behavior of the hyperpolarization-activated cation (h-) channel, given increasing interest in this channel due to its role in pacemaking and differentiating cell types. We ensured that the model exhibited post-inhibitory rebound (PIR) spiking considering its relationship with the h-current, along with other general spiking characteristics. The model was validated against data not used in its development, which highlighted distinctly slower kinetics of the human h-current relative to the rodent setting. We linked the lack of subthreshold resonance observed in human L5 neurons to these human-specific h-current kinetics. This work shows that it is possible and necessary to build human-specific biophysical neuron models in order to understand human brain dynamics.

neuroscience↗

bioRxiv2019

Somatodendritic HCN channels in hippocampal OLM cells revealed by a convergence of computational models and experiments

Determining details of spatially extended neurons is a challenge that needs to be overcome. The oriens-lacunosum/moleculare (OLM) interneuron has been implicated as a critical controller of hippocampal memory making it essential to understand how its biophysical properties contribute to function. We previously used computational models to show that OLM cells exhibit theta spiking resonance frequencies that depend on their dendrites having hyperpolarization-activated cation channels (h-channels). However, whether OLM cells have dendritic h-channels is unknown. We performed a set of whole-cell recordings of OLM cells from mouse hippocampus and constructed multi-compartment models using morphological and electrophysiological parameters extracted from the same cell. The models matched experiments only when dendritic h-channels were present. Immunohistochemical localization of the HCN2 subunit confirmed dendritic expression. These models can be used to obtain insight into hippocampal function. Our work shows that a tight integration of model and experiment tackles the challenge of characterizing spatially extended neurons.

neuroscience↗

bioRxiv2018

Synaptic properties and network state-dependent recruitment of VIP-expressing interneuron-specific interneurons in the CA1 hippocampus

In the hippocampus, a highly specialized population of vasoactive intestinal peptide (VIP)-expressing interneuron-specific (IS) inhibitory cells provides local circuit disinhibition via preferential innervation of different types of GABAergic interneurons. While disinhibition can be critical in modulating network activity and different forms of hippocampal learning, the synaptic and integrative properties of IS cells and their recruitment during network oscillations remain unknown. Using a combination of patch-clamp recordings, photostimulation, computational modelling as well as recordings of network oscillations simultaneously with two-photon Ca2+-imaging in awake mice in vivo, we identified synaptic mechanisms that can control the firing of IS cells, and explored their impact on the cell recruitment during theta oscillations and sharp-wave-associated ripples. We found that IS cells fire spikes in response to both the Schaffer collateral and the temporoammonic pathway activation. Moreover, integrating their intrinsic and synaptic properties into computational models predicted recruitment of these cells during the rising to peak phases of theta oscillations and during ripples depending on inhibitory contributions. In vivo Ca2+-imaging in awake mice confirmed in part the theoretical predictions, revealing a significant speed modulation of IS cells and their preferential albeit delayed recruitment during theta-run epochs, with firing at the rising phase to peak of the theta cycle. However, it also uncovered that IS cells are not activated during ripples. Thus, given the preferential theta-modulated firing of IS cells in awake hippocampus, we postulate that these cells may be important for information gating during spatial navigation and memory encoding.

neuroscience↗

bioRxiv2018

Weak and equally balanced synaptic inputs to interneurons in the CA1 hippocampus characterize in vivo rhythmic states

Brain coding strategies are enabled by the balance of synaptic inputs that individual neurons receive as determined by the networks in which they reside. Inhibitory cell types contribute to brain function in distinct ways but recording from specific, inhibitory cell types during behaviour to determine their contributions is difficult. In particular, the in vivo activities of vasoactive intestinal peptide-expressing interneuron specific 3 (IS3) cells in the hippocampus that only target other inhibitory cells are unknown at present. We perform a massive, computational exploration of possible synaptic inputs to IS3 cells using multi-compartment models and optimized synaptic parameters. We find that asynchronous in vivo-like states that are sensitive to additional theta-timed inputs exist when excitatory and inhibitory synaptic conductances are equally balanced and there are low amounts of correlated inputs. Thus, using a generally applicable computational approach we predict the existence of balanced states in hippocampal circuits during rhythmic activities.

neuroscience↗