Electrotonic signal processing in AII amacrine cells: compartmental models and passive membrane properties for a gap junction-coupled retinal neuron

Zandt, Bas-Jan; Veruki, Margaret Lin; Hartveit, Espen

doi:10.1007/s00429-018-1696-z

Cited by 16 publications

(38 citation statements)

References 74 publications

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“…Gap junction properties include high speed, bidirectional and reliable communication between neurons, while a single gap junction is able to both inhibit and excite a postjunctional target. These features represent distinct advantages of gap junctions over chemical synapses [68][69][70][71][72][73] .…”

Section: Gap Junctions and Oscillation Frequencymentioning

confidence: 99%

A neural network for intermale aggression to establish social hierarchy

et al. 2018

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Intermale aggression is used to establish social rank. Several neuronal populations have been implicated in aggression, but the circuit mechanisms that shape this innate behavior and coordinate its different components (including attack execution and reward) remain elusive. We show that dopamine transporter-expressing neurons in the hypothalamic ventral premammillary nucleus (PMv neurons) organize goal-oriented aggression in male mice. Activation of PMv neurons triggers attack behavior; silencing these neurons interrupts attacks. Regenerative PMv membrane conductances interacting with recurrent and reciprocal excitation explain how a brief trigger can elicit a long-lasting response (hysteresis). PMv projections to the ventrolateral part of the ventromedial hypothalamic and the supramammillary nuclei control attack execution and aggression reward, respectively. Brief manipulation of PMv activity switched the dominance relationship between males, an effect persisting for weeks. These results identify a network structure anchored in PMv neurons that organizes aggressive behavior and, as a consequence, determines intermale hierarchy.

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Section: Gap Junctions and Oscillation Frequencymentioning

confidence: 99%

A neural network for intermale aggression to establish social hierarchy

et al. 2018

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“…One mechanism involves direct spillover of synaptically released glutamate, and the other mechanism involves activation by ambient glutamate. With respect to the first mechanism, there is evidence that glutamate spillover at the rod bipolar cell axon terminal can activate glutamate transporters on the same and neighboring axon terminals (Veruki et al, 2006;Wersinger et al, 2006). Depending on their exact location, this suggests that NMDA receptors on AII and A17 amacrine cells under certain conditions could be activated by spillover of glutamate from rod bipolar cells after synaptic release.…”

Section: Ambient Glutamate Can Activate Nmda Receptors On Both Aii Anmentioning

confidence: 99%

“…We next examined whether the increased activity of glutamate transporters at a more physiological temperature would reduce the level of ambient glutamate and/or prevent spillover of synaptic glutamate (Wadiche et al, 1995;Asztely et al, 1997;Rauen et al, 1998) and thus reduce or eliminate the observed NMDA receptor-mediated membrane noise. When we repeated these experiments for AII amacrine cells at 32°C, the average variance in the control condition was 57.7 Ϯ 15.4 pA 2 ; and in the presence of CPP, it was 39.3 Ϯ 11.7 pA 2 ( p ϭ 0.0223, paired t test; n ϭ 5 cells; Fig.…”

Section: Ambient Glutamate Can Activate Nmda Receptors On Both Aii Anmentioning

confidence: 99%

Extrasynaptic NMDA Receptors on Rod Pathway Amacrine Cells: Molecular Composition, Activation, and Signaling

et al. 2018

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In the rod pathway of the mammalian retina, axon terminals of glutamatergic rod bipolar cells are presynaptic to AII and A17 amacrine cells in the inner plexiform layer. Recent evidence suggests that both amacrines express NMDA receptors, raising questions concerning molecular composition, localization, activation, and function of these receptors. Using dual patch-clamp recording from synaptically connected rod bipolar and AII or A17 amacrine cells in retinal slices from female rats, we found no evidence that NMDA receptors contribute to postsynaptic currents evoked in either amacrine. Instead, NMDA receptors on both amacrine cells were activated by ambient glutamate, and blocking glutamate uptake increased their level of activation. NMDA receptor activation also increased the frequency of GABAergic postsynaptic currents in rod bipolar cells, suggesting that NMDA receptors can drive release of GABA from A17 amacrines. A striking dichotomy was revealed by pharmacological and immunolabeling experiments, which found GluN2B-containing NMDA receptors on AII amacrines and GluN2A-containing NMDA receptors on A17 amacrines. Immunolabeling also revealed a clustered organization of NMDA receptors on both amacrines and a close spatial association between GluN2B subunits and connexin 36 on AII amacrines, suggesting that NMDA receptor modulation of gap junction coupling between these cells involves the GluN2B subunit. Using multiphoton Ca 2ϩ imaging, we verified that activation of NMDA receptors evoked an increase of intracellular Ca 2ϩ in dendrites of both amacrines. Our results suggest that AII and A17 amacrines express clustered, extrasynaptic NMDA receptors, with different and complementary subunits that are likely to contribute differentially to signal processing and plasticity.

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“…There are some approaches that feature a detailed description of a specific neuron. A clear limitation of this approach corresponds to the large number of parameters in the model [24][25][26][27]. Many of these parameters represent unknown variables, which is typical from such high-dimensional problems that include the description of dynamics of a variety of often spatially dependent ion channels along the dendritic tree.…”

Section: Introductionmentioning

confidence: 99%

Spatially resolved dendritic integration: Towards a functional classification of neurons

Kirch

Gollo

2019

Preprint

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The vast tree-like dendritic structure of neurons allow them to receive and integrate input from many neurons. A wide variety of neuronal morphologies exist, however, their role in dendritic integration, and how it shapes the response of the neuron, is not yet fully understood. Here, we study the evolution and interactions of dendritic spikes in excitable neurons with complex real branch structures. We focus on dozens of digitally reconstructed illustrative neurons from the online repository NeuroMorpho.org, which contains over 100,000 neurons. Yet, our methods can be promptly extended to any other neuron. This approach allows us to estimate and map the heterogeneity of activity patterns observed across extensive dendritic trees with thousands of compartments. We propose a classification of neurons based on the location of the soma (centrality) and the dendritic topology (number of branches connected to the soma). These are key topological factors in determining the neuron's energy consumption, dynamics, and the dynamic range, which quantifies the range in synaptic input rate that can be reliably encoded by the neuron's firing rate. Moreover, we find that bifurcations, the structural building blocks of complex dendrites, play a major role in increasing the dynamic range of neurons. Our results provide a better understanding of the effects of neuronal morphology in the diversity of neuronal dynamics and function.

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Electrotonic signal processing in AII amacrine cells: compartmental models and passive membrane properties for a gap junction-coupled retinal neuron

Cited by 16 publications

References 74 publications

A neural network for intermale aggression to establish social hierarchy

A neural network for intermale aggression to establish social hierarchy

Extrasynaptic NMDA Receptors on Rod Pathway Amacrine Cells: Molecular Composition, Activation, and Signaling

Spatially resolved dendritic integration: Towards a functional classification of neurons

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