The impact of short term synaptic depression and stochastic vesicle dynamics on neuronal variability

  title={The impact of short term synaptic depression and stochastic vesicle dynamics on neuronal variability},
  author={Steven Reich and Robert Rosenbaum},
  journal={Journal of Computational Neuroscience},
Neuronal variability plays a central role in neural coding and impacts the dynamics of neuronal networks. Unreliability of synaptic transmission is a major source of neural variability: synaptic neurotransmitter vesicles are released probabilistically in response to presynaptic action potentials and are recovered stochastically in time. The dynamics of this process of vesicle release and recovery interacts with variability in the arrival times of presynaptic spikes to shape the variability of… 

Transmission of temporally correlated spike trains through synapses with short-term depression

A series of analytical results are presented—from vesicle release-site occupancy statistics, via neurotransmitter release, to the post-synaptic voltage mean and variance—for depressing synapses driven by correlated presynaptic spike trains to extend the level of biological detail included in models of synaptic transmission.

Mathematical analysis and algorithms for efficiently and accurately implementing stochastic simulations of short-term synaptic depression and facilitation

This paper study several well-known conceptual models for stochastic availability and release of neurotransmitter vesicles at cortical synapses, state explicitly the random variables that these models describe and propose efficient algorithms for accurately implementing stochastically simulations of these random variables in software or hardware.

Poisson-Like Spiking in Circuits with Probabilistic Synapses

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Short Term Plasticity, Biophysical Models

  • R. Rosenbaum
  • Biology
    Encyclopedia of Computational Neuroscience
  • 2014
This work focuses on more phenomenological models of facilitation, an increase in synaptic efficacy often caused by a transient increase in the number of vesicles released by presynaptic action potentials.

Cortical reliability amid noise and chaos

It is concluded that recurrent cortical architecture supports millisecond spike-time reliability amid noise and chaotic network dynamics, resolving a long-standing debate.

Detection in neuronal communications with finite channel state

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The obtained results demonstrate that synaptic transmission reliability changes firing regularity influencing background activity intensity, and how the excitatory and inhibitory synaptic connections effect the regularity of neuronal firing is investigated.

Integrated random pulse process with positive and negative periodicity

A study of nonstationary processes that are integrals of stationary random sequences of delta pulses is presented. An integrated renewal process can be represented as the sum of a deterministic



Short Term Synaptic Depression Imposes a Frequency Dependent Filter on Synaptic Information Transfer

This study provides strong evidence that the stochastic nature neurotransmitter vesicle dynamics must be considered when analyzing the information flow across a synapse.

Impact of Correlated Synaptic Input on Output Firing Rate and Variability in Simple Neuronal Models

A simple random walk model in which the membrane potential of a target neuron fluctuates stochastically, driven by excitatory and inhibitory spikes arriving at random times, shows that, in the balanced regime, weak correlations caused by signals shared among inputs may have a multiplicative effect on the input-output rate curve of a postsynaptic neuron.

Differential short-term synaptic plasticity and transmission of complex spike trains: to depress or to facilitate?

This work investigated transmission of complex spike trains through a stochastic model of cortical synapse endowed with short-term facilitation and vesicle depletion and found that facilitation increases correlation at short time scales.

Short-term synaptic plasticity.

The evidence for this hypothesis, and the origins of the different kinetic phases of synaptic enhancement, as well as the interpretation of statistical changes in transmitter release and roles played by other factors such as alterations in presynaptic Ca(2+) influx or postsynaptic levels of [Ca(2+)]i are discussed.

An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing

The proposed spike- based synaptic learning algorithm provides a general framework for regulating neurotransmitter release probability by modifying the probability of vesicle discharge as a function of the relative timing of spikes in the pre- and postsynaptic neurons.

Dynamic Stochastic Synapses as Computational Units

This work considers a simple model for dynamic stochastic synapses that can easily be integrated into common models for networks of integrate-andfire neurons (spiking neurons) and investigates the consequences of the model for computing with individual spikes.

Short-Term Synaptic Depression Causes a Non-Monotonic Response to Correlated Stimuli

This work uses a simple neuron model with stochastic depressing synapses to understand the transformations undergone by the spatiotemporal patterns of incoming spikes as these are first converted into synaptic current and afterward into the cell response.

Short-Term Plasticity Optimizes Synaptic Information Transmission

An analytical approach to quantify time- and rate-dependent synaptic information transfer during arbitrary spike trains using a realistic model of synaptic dynamics in excitatory hippocampal synapses concludes that STP indeed contributes significantly to synaptic informationTransfer and may serve to maximize information transfer for specific firing patterns of the corresponding neurons.

Postsynaptic Variability of Firing in Rat Cortical Neurons: The Roles of Input Synchronization and Synaptic NMDA Receptor Conductance

It is concluded that postsynaptic mechanisms add significant variability to cortical responses but that substantial synchrony of inputs is necessary to explain in vivovariability, and suggests that NMDA receptors help to implement a switch from precise firing to random firing during responses to concerted inputs.

Broadband coding with dynamic synapses

It is shown that the changes in synaptic response amplitude resulting from STP interact with the related effects on fluctuations in membrane conductance, such that information transmission is broadband (no frequency-dependent filtering occurs), regardless of whether synaptic depression or facilitation dominates.