ArticleJournal of neurophysiology2017
Predicting the response of striatal spiny neurons to sinusoidal input.
Article in Journal of neurophysiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Neuronal and network resonance in the external globus pallidus.Journal of neurophysiology · 2025Article
- Dopamine release plateau and outcome signals in dorsal striatum contrast with classic reinforcement learning formulations.Nature communications · 2024Article
- Impact of Unitary Synaptic Inhibition on Spike Timing in Ventral Tegmental Area Dopamine Neurons.eNeuro · 2024Article
- Article
- Comparison of unitary synaptic currents generated by indirect and direct pathway neurons of the mouse striatum.Journal of neurophysiology · 2024Article
- Propagation of Oscillations in the Indirect Pathway of the Basal Ganglia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Article
- Spontaneous Activity of the Local GABAergic Synaptic Network Causes Irregular Neuronal Firing in the External Globus Pallidus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Local inhibition in a model of the indirect pathway globus pallidus network slows and deregularizes background firing, but sharpens and synchronizes responses to striatal input.Journal of computational neuroscience · 2022Article
- Broadband Entrainment of Striatal Low-Threshold Spike Interneurons.Frontiers in neural circuits · 2020Article
- Translating striatal activity from brain slice to whole animal neurophysiology: A guide for neuroscience research integrating diverse levels of analysis.Journal of neuroscience research · 2019Review
- Frequency-dependent entrainment of striatal fast-spiking interneurons.Journal of neurophysiology · 2019Article
- Population dynamics and entrainment of basal ganglia pacemakers are shaped by their dendritic arbors.PLoS computational biology · 2019Article
- Predicting responses to inhibitory synaptic input in substantia nigra pars reticulata neurons.Journal of neurophysiology · 2018Article
- Nucleus accumbens core medium spiny neuron electrophysiological properties and partner preference behavior in the adult male prairie vole, Microtus ochrogaster.Journal of neurophysiology · 2018Article
- Oscillations and Spike Entrainment.F1000Research · 2018Review
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Abstract
Spike-timing effects of small-amplitude sinusoidal currents were measured in mouse striatal spiny neurons firing repetitively. Spike-timing reliability varied with the stimulus frequency. For frequencies near the cell's firing rate, the cells altered firing rate to match the stimulus and became phase locked to it. The stimulus phase of firing during lock depended on the stimulus frequency relative to the cell's unperturbed firing rate. Interspike intervals during sinusoidal stimulation were predicted using an iterative map constructed from the cells' phase-resetting curve. Variability of interspike intervals was reduced by stimulation at all frequencies higher than about half the cell's unperturbed rate, and interspike intervals were accurately predicted by the map. Long sequences of spike times were predicted by iterating on the map. The accuracy of that prediction varied with frequency. Spike time predictability was highest near and during phase lock. The map predicted the phase of firing on the input and its dependence on stimulus frequency. Prediction errors, when they occurred, were of two kinds: unpredicted variation in interspike interval from intrinsic cell noise and accumulation of prediction errors from previous interspike intervals. Each type of prediction error arose from a different mechanism, and their impact was also predicted from the phase model. When two oscillatory input currents were presented simultaneously, striatal neurons responded selectively to only one of them, the one closest in frequency to the cell's unperturbed firing rate. Their spike times encoded the frequency and phase of that single oscillatory input.
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