Control of Neural Information Transmission by Synaptic Dynamics

Cartling, Bo

doi:10.1006/jtbi.2001.2462

Cited by 6 publications

(4 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3. It has similarities to a number of previous models that have been advanced to describe synaptic properties (Kusano and Landau 1975; Abbott et al 1997; Tsodyks and Markram 1997; Dittman et al 2000; Cartling 2002; Yang and Xu-Friedman 2008; Ruiz et al 2011; Hennig 2013). We call this model the NpRf model.…”

Section: Resultsmentioning

confidence: 76%

Determining synaptic parameters using high-frequency activation

Thanawala

Regehr

2016

Journal of Neuroscience Methods

View full text Add to dashboard Cite

Background The specific properties of a synapse determine how neuronal activity evokes neurotransmitter release. Evaluating changes in synaptic properties during sustained activity is essential to understanding how genetic manipulations and neuromodulators regulate neurotransmitter release. Analyses of postsynaptic responses to high-frequency stimulation have provided estimates of the size of the readily-releasable pool (RRP) of vesicles (N0) and the probability of vesicular release (p) at multiple synapses. New Method Here, we introduce a model-based approach at the calyx of Held synapse in which depletion and the rate of replenishment (R) determine the number of available vesicles, and facilitation leads to a use-dependent increase in p when initial p is low. Results When p is high and R is low, we find excellent agreement between estimates based on all three methods and the model. However, when p is low or when significant replenishment occurs between stimuli, estimates of different methods diverge, and model estimates are between the extreme estimates provided by the other approaches. Comparison with Other Methods We compare our model-based approach to three other approaches that rely on different simplifying assumptions. Our findings suggest that our model provides a better estimate of N0 and p than previously-established methods, likely due to inaccurate assumptions about replenishment. More generally, our findings suggest that approaches commonly used to estimate N0 and p at other synapses are often applied under experimental conditions that yield inaccurate estimates. Conclusions Careful application of appropriate methods can greatly improve estimates of synaptic parameters.

show abstract

Section: Resultsmentioning

confidence: 76%

Determining synaptic parameters using high-frequency activation

Thanawala

Regehr

2016

Journal of Neuroscience Methods

View full text Add to dashboard Cite

show abstract

“…In an animal study, Adkins et al (2006) observed that motor training led to synaptogenesis synaptic potentiation, and reorganization of movement representations within the motor cortex. This is relevant as synapses affect the transmission efficiency of information ( Cartling, 2002 ) and are related with cognitive development ( Choi et al, 2018 ). Evidence shows that GMS shares common underlying processes with IC observed in sorting, monitoring, and planning tasks ( Boxtel et al, 2001 ).…”

Section: Discussionmentioning

confidence: 99%

Relationship Between Gross Motor Skills and Inhibitory Control in Preschool Children: A Pilot Study

Zhou

et al. 2022

Front. Hum. Neurosci.

View full text Add to dashboard Cite

PurposeGross motor skills (GMS) and inhibitory control (IC) which are both development in preschool stage is significant for preschooler to healthy growth. However, the evidence of relationship between them in preschoolers are still insufficient, most of studies only focus on youth. Thus, the aim of this research is to examine the association between GMS and IC in preschool children.MethodsThis cross-sectional study used baseline data from a previous intervention study of preschoolers conducted in 2018. GMS were assessed by using the Test for Gross Motor Development (2nd edition) in preschoolers, which includes two subtests of locomotor and object control skills. Total GMS is calculated from the sum of these two subtests. The Fish Flanker task was used to evaluate both accuracy and reaction time of IC. Multivariate linear regression models were established to analyze the relationships between GMS and IC.ResultsA total of 123 preschool-age children (55 girls, 68 boys) were included in the final analysis. After adjusting for confounders, GMS (β = −8.27 ms, 95%CI: −14.2, −2.34), locomotor (β = −11.2 ms, 95%CI: −21.43, −0.97), and object control skills (β = −12.15 ms, 95%CI: −22.07, −2.23) were all negatively related with reaction time of IC.ConclusionThere was a significant negative correlation between gross motor skills and the reaction time of inhibitory control in preschool children. Further research is needed to verify this finding in prospective and experimental studies.

show abstract

“…The calculation of various kinds of measures of information transfer at the synapse level has been explored in many papers. For instance, in [ 8 ] information transmission is studied through a master equation based stochastic model of presynaptic release of vesicles (which depends on intracellular calcium concentration), combined with a low dimensional model of membrane charging at the postsynaptic side. The model itself has an advantage over models of average quantities, in that it captures fluctuations of the dynamic variables.…”

Section: Introductionmentioning

confidence: 99%

Effect of Neuromodulation of Short-term Plasticity on Information Processing in Hippocampal Interneuron Synapses

2018

View full text Add to dashboard Cite

Neurons in a micro-circuit connected by chemical synapses can have their connectivity affected by the prior activity of the cells. The number of synapses available for releasing neurotransmitter can be decreased by repetitive activation through depletion of readily releasable neurotransmitter (NT), or increased through facilitation, where the probability of release of NT is increased by prior activation. These competing effects can create a complicated and subtle range of time-dependent connectivity. Here we investigate the probabilistic properties of facilitation and depression (FD) for a presynaptic neuron that is receiving a Poisson spike train of input. We use a model of FD that is parameterized with experimental data from a hippocampal basket cell and pyramidal cell connection, for fixed frequency input spikes at frequencies in the range of theta (3–8 Hz) and gamma (20–100 Hz) oscillations. Hence our results will apply to micro-circuits in the hippocampus that are responsible for the interaction of theta and gamma rhythms associated with learning and memory. A control situation is compared with one in which a pharmaceutical neuromodulator (muscarine) is employed. We apply standard information-theoretic measures such as entropy and mutual information, and find a closed form approximate expression for the probability distribution of release probability. We also use techniques that measure the dependence of the response on the exact history of stimulation the synapse has received, which uncovers some unexpected differences between control and muscarine-added cases.

show abstract

Control of Neural Information Transmission by Synaptic Dynamics

Cited by 6 publications

References 59 publications

Determining synaptic parameters using high-frequency activation

Determining synaptic parameters using high-frequency activation

Relationship Between Gross Motor Skills and Inhibitory Control in Preschool Children: A Pilot Study

Effect of Neuromodulation of Short-term Plasticity on Information Processing in Hippocampal Interneuron Synapses

Contact Info

Product

Resources

About