Oliver Gambrell

Postsynaptic integration of excitatory and inhibitory signals based on an adaptive firing threshold

The paper models postsynaptic firing dynamics with and without an adaptive threshold, showing how inhibitory inputs can increase firing frequency and characterizing ISI noise properties.

Consequences of decoy site repair and feedback regulation on neurotransmission dynamics

The paper develops a stochastic model of synaptic transmission, showing that docking site repair increases synaptic depression and noise, while positive feedback can reduce noise under certain conditions.

Leveraging the transient statistics of quantal content to infer neuronal synaptic transmission

The paper develops a model to infer presynaptic parameters from quantal content statistics in neuronal synapses using electrophysiological data from mice.

Feedback and Feedforward Regulation of Interneuronal Communication

The paper develops a mechanistic model of neurotransmitter dynamics in synapses, showing feedback and feedforward regulation can amplify or buffer noise and lead to band-pass filtering.

Characterizing the role of autaptic feedback in enhancing precision of neuronal firing times

This paper models autaptic feedback in neurons to show how it can enhance the precision of action potential firing times through noise reduction mechanisms.