ArticleFrontiers in systems neuroscience2012
Input dependent cell assembly dynamics in a model of the striatal medium spiny neuron network.
Article in Frontiers in systems neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 33 citations in OpenAlex.
- Pathological cell assembly dynamics in a striatal MSN network model.Frontiers in computational neuroscience · 2024Article
- Article
- Sensory-thresholded switch of neural firing states in a computational model of the ventromedial hypothalamus.Frontiers in computational neuroscience · 2022Article
- Ramping activity in the striatum.Frontiers in computational neuroscience · 2022Article
- Striatal network modeling in Huntington's Disease.PLoS computational biology · 2020Article
- No Discrete Start/Stop Signals in the Dorsal Striatum of Mice Performing a Learned Action.Current biology : CB · 2018Article
- Identification and Characterization of a Novel Spontaneously Active Bursty GABAergic Interneuron in the Mouse Striatum.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Review
- Differential Encoding of Time by Prefrontal and Striatal Network Dynamics.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017Article
- Striatal Network Models of Huntington's Disease Dysfunction Phenotypes.Frontiers in computational neuroscience · 2017Article
- Spatially Compact Neural Clusters in the Dorsal Striatum Encode Locomotion Relevant Information.Neuron · 2016Article
- Cell Assembly Dynamics of Sparsely-Connected Inhibitory Networks: A Simple Model for the Collective Activity of Striatal Projection Neurons.PLoS computational biology · 2016Article
- Brain activity mapping at multiple scales with silicon microprobes containing 1,024 electrodes.Journal of neurophysiology · 2015Article
- Olfactory maps, circuits and computations.Current opinion in neurobiology · 2014Review
- Lateral and feedforward inhibition suppress asynchronous activity in a large, biophysically-detailed computational model of the striatal network.Frontiers in computational neuroscience · 2014Article
- Liquid computing on and off the edge of chaos with a striatal microcircuit.Frontiers in computational neuroscience · 2014Article
- Optimal balance of the striatal medium spiny neuron network.PLoS computational biology · 2013Article
- Article
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2 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
The striatal medium spiny neuron (MSN) network is sparsely connected with fairly weak GABAergic collaterals receiving an excitatory glutamatergic cortical projection. Peri-stimulus time histograms (PSTH) of MSN population response investigated in various experimental studies display strong firing rate modulations distributed throughout behavioral task epochs. In previous work we have shown by numerical simulation that sparse random networks of inhibitory spiking neurons with characteristics appropriate for UP state MSNs form cell assemblies which fire together coherently in sequences on long behaviorally relevant timescales when the network receives a fixed pattern of constant input excitation. Here we first extend that model to the case where cortical excitation is composed of many independent noisy Poisson processes and demonstrate that cell assembly dynamics is still observed when the input is sufficiently weak. However if cortical excitation strength is increased more regularly firing and completely quiescent cells are found, which depend on the cortical stimulation. Subsequently we further extend previous work to consider what happens when the excitatory input varies as it would when the animal is engaged in behavior. We investigate how sudden switches in excitation interact with network generated patterned activity. We show that sequences of cell assembly activations can be locked to the excitatory input sequence and outline the range of parameters where this behavior is shown. Model cell population PSTH display both stimulus and temporal specificity, with large population firing rate modulations locked to elapsed time from task events. Thus the random network can generate a large diversity of temporally evolving stimulus dependent responses even though the input is fixed between switches. We suggest the MSN network is well suited to the generation of such slow coherent task dependent response which could be utilized by the animal in behavior.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.