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Inference of Monosynaptic Connections from Parallel Spike Trains: A Review
This article presents a mini-review about the progress in inferring monosynaptic connections from spike trains of multiple neurons over the past twenty years.
The statistical physics of discovering exogenous and endogenous factors in a chain of events
The analysis is performed using a model that combines the inhomogeneous Poisson process and the Hawkes process, which represent exogenous fluctuations and endogenous chain-reaction mechanisms, respectively.
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron
Here, we develop a Bayesian method for inferring the time-varying mean and variance of the synaptic input, along with the dynamics of each ion channel from a single voltage trace of a neuron.
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