In this paper, we use the population stochastic dynamics to analyze the population of neurons with synaptic depression in the stochastic environment. We ...

The population density approach is a viable method to describe the large populations of neurons and has generated considerable interest recently. In this paper, ...

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Our results show that short-term depression and stochastic vesicle dynamics need to be taken into account when modeling correlations in neuronal populations.

The filtering properties of synapses are modulated by a form of short term depression arising from the depletion of neurotransmitter vesicles.

Jul 16, 2012 · We find that stochasticity in vesicle uptake and release fundamentally alters the way in which a synapse filters presynaptic information.

Synaptic depression modeled after that seen in cortical slices removes correlations from realistic spike sequences. If not removed, such correlations can ...

Sep 11, 2020 · Neural populations with strong excitatory recurrent connections can support bistable states in their mean firing rates.

Mar 20, 2019 · We present a mechanistic stochastic model to characterize the statistics of the number of neurotransmitters released at a neuronal synapse.

Aug 17, 2023 · We present a new plasticity rule based on a geometrical readout mechanism that flexibly maps synaptic enzyme dynamics to predict plasticity outcomes.