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Causal Measures of Structure and Plasticity in Simulated and Living Neural Networks

https://doi.org/10.1371/journal.pone.0003355
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Partial Granger causality—Eliminating exogenous inputs and latent variables
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Measures of Conditional Linear Dependence and Feedback Between Time Series
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Current Source Density Estimation Using Microelectrode Array Data from the Hippocampal Slice Preparation
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Long-Term Characterization of Firing Dynamics of Spontaneous Bursts in Cultured Neural Networks
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Recursive Multichannel Maximum Entropy Spectral Estimation
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Correlated Bursts of Activity in the Neonatal Hippocampus in Vivo
inferredcites →https://doi.org/10.1126/science.270.5239.1207openalex-snapshot
Concerted Signaling by Retinal Ganglion Cells
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Dissociated Retinal Neurons Form Periodically Active Synaptic Circuits
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Probing Changes in Neural Interaction During Adaptation
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Fair Attribution of Functional Contribution in Artificial and Biological Networks
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Distinguishing Causal Interactions in Neural Populations
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An extremely rich repertoire of bursting patterns during the development of cortical cultures
inferredcites →https://doi.org/10.1201/9781420048254openalex-snapshot
Methods for NEURAL ENSEMBLE RECORDINGS
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Correlation-Based Analysis Methods for Neural Ensemble Data
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Correlation-Based Analysis Methods for Neural Ensemble Data
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Uncovering Interactions in the Frequency Domain
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Neuronal Avalanches Are Diverse and Precise Activity Patterns That Are Stable for Many Hours in Cortical Slice Cultures
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Investigating Causal Relations by Econometric Models and Cross-spectral Methods
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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