scholarly journals Short-Term Synaptic Dynamics Control the Activity Phase of Neurons in an Oscillatory Network

2019 ◽  
Author(s):  
Diana Martinez ◽  
Haroon Anwar ◽  
Amitabha Bose ◽  
Dirk Bucher ◽  
Farzan Nadim
Keyword(s):  
Synaptic Input ◽  
Short Term ◽  
Cancer Borealis ◽  
Oscillatory Systems ◽  
Activity Phase ◽  
Phase Maintenance ◽  
Burst Phase ◽  
Phase Constancy ◽  
Synaptic Dynamics ◽  
Peak Phase

AbstractIn oscillatory systems, neuronal activity phase is often independent of network frequency. Such phase maintenance requires adjustment of synaptic input with network frequency, a relationship that we explored using the crab, Cancer borealis, pyloric network. The burst phase of pyloric neurons is relatively constant despite a >2-fold variation in network frequency. We used noise input to characterize how input shape influences burst delay of a pyloric neuron, and then used dynamic clamp to examine how burst phase depends on the period, amplitude, duration, and shape of rhythmic synaptic input. Phase constancy across a range of periods required a proportional increase of synaptic duration with period. However, phase maintenance was also promoted by an increase of amplitude and peak phase of synaptic input with period. Mathematical analysis shows how short-term synaptic plasticity can coordinately change amplitude and peak phase to maximize the range of periods over which phase constancy is achieved.

scholarly journals Short-term synaptic dynamics control the activity phase of neurons in an oscillatory network

eLife ◽  
2019 ◽  
Vol 8 ◽  
Author(s):  
Diana Martinez ◽  
Haroon Anwar ◽  
Amitabha Bose ◽  
Dirk M Bucher ◽  
Farzan Nadim
Keyword(s):  
Synaptic Input ◽  
Short Term ◽  
Cancer Borealis ◽  
Oscillatory Systems ◽  
Activity Phase ◽  
Phase Maintenance ◽  
Burst Phase ◽  
Phase Constancy ◽  
Synaptic Dynamics ◽  
Peak Phase

In oscillatory systems, neuronal activity phase is often independent of network frequency. Such phase maintenance requires adjustment of synaptic input with network frequency, a relationship that we explored using the crab, Cancer borealis, pyloric network. The burst phase of pyloric neurons is relatively constant despite a > two fold variation in network frequency. We used noise input to characterize how input shape influences burst delay of a pyloric neuron, and then used dynamic clamp to examine how burst phase depends on the period, amplitude, duration, and shape of rhythmic synaptic input. Phase constancy across a range of periods required a proportional increase of synaptic duration with period. However, phase maintenance was also promoted by an increase of amplitude and peak phase of synaptic input with period. Mathematical analysis shows how short-term synaptic plasticity can coordinately change amplitude and peak phase to maximize the range of periods over which phase constancy is achieved.

Short-term synaptic dynamics promote phase maintenance in multi-phasic rhythms

2003 ◽  
Vol 52-54 ◽  
pp. 79-87 ◽  
Author(s):  
Farzan Nadim ◽  
Victoria Booth ◽  
Amitabha Bose ◽  
Yair Manor
Keyword(s):  
Short Term ◽  
Phase Maintenance ◽  
Synaptic Dynamics

scholarly journals Author response: Short-term synaptic dynamics control the activity phase of neurons in an oscillatory network

2019 ◽  
Author(s):  
Diana Martinez ◽  
Haroon Anwar ◽  
Amitabha Bose ◽  
Dirk M Bucher ◽  
Farzan Nadim
Keyword(s):  
Author Response ◽  
Short Term ◽  
Activity Phase ◽  
Synaptic Dynamics ◽  
Oscillatory Network

scholarly journals Differential modulation of short-term synaptic dynamics by long-term potentiation at mouse hippocampal mossy fibre synapses

2007 ◽  
Vol 585 (3) ◽  
pp. 853-865 ◽  
Author(s):  
Anja Gundlfinger ◽  
Christian Leibold ◽  
Katja Gebert ◽  
Marion Moisel ◽  
Dietmar Schmitz ◽  
...  
Keyword(s):  
Long Term Potentiation ◽  
Mossy Fibre ◽  
Differential Modulation ◽  
Short Term ◽  
Term Potentiation ◽  
Synaptic Dynamics

Electrophysiological Analysis of Peripheral Neurones and Their Possible Role in the Local Reflexes of a Mollusc

1972 ◽  
Vol 57 (1) ◽  
pp. 133-145
Author(s):  
DAVID J. PRIOR
Keyword(s):  
Peripheral Nerve ◽  
Synaptic Input ◽  
Direct Evidence ◽  
Afferent Input ◽  
Short Term ◽  
Electrophysiological Analysis ◽  
Branching Points ◽  
Peripheral Cells ◽  
Central Delay

1. It has been shown by behavioural and electromyographic studies that local reflexes exist in the siphon wall musculature of Spisula. In contrast, the responsiveness of the siphon retractor muscles is centrally mediated. 2. Clusters of neurone somata occur at the peripheral branching points of the siphonal nerves. Intracellular records obtained from these peripheral cluster cells indicate they are efferents to the siphon wall musculature. These cells receive synaptic input from a population of touch-sensitive afferents from the siphons and mantle. None of the peripheral cells from which records have been obtained provided any indication of being sensory in function. 3. ‘Central delay’ measurements indicate the presence of only one synaptic transfer between the afferent input to a peripheral nerve junction and the output of cluster cells. 4. The synaptic input to the cluster cells is shown to be subject to short-term modification (antifacilitation). This coupled with the direct evidence that the peripheral cells are functional neurones supports the possibility that molluscan peripheral neurones could mediate habituated responses.

Modeling the short-term dynamics of in vivo excitatory spike transmission

2018 ◽  
Author(s):  
Abed Ghanbari ◽  
Naixin Ren ◽  
Christian Keine ◽  
Carl Stoelzel ◽  
Bernhard Englitz ◽  
...  
Keyword(s):  
Synaptic Plasticity ◽  
Large Scale ◽  
Auditory Brainstem ◽  
Postsynaptic Neuron ◽  
Intracellular Recordings ◽  
Short Term ◽  
Functional Connection ◽  
Synaptic Dynamics ◽  
Synaptic Effects

AbstractInformation transmission in neural networks is influenced by both short-term synaptic plasticity (STP) as well as non-synaptic factors, such as after-hyperpolarization currents and changes in excitability. Although these effects have been widely characterized in vitro using intracellular recordings, how they interact in vivo is unclear. Here we develop a statistical model of the short-term dynamics of spike transmission that aims to disentangle the contributions of synaptic and non-synaptic effects based only on observed pre- and postsynaptic spiking. The model includes a dynamic functional connection with short-term plasticity as well as effects due to the recent history of postsynaptic spiking and slow changes in postsynaptic excitability. Using paired spike recordings, we find that the model accurately describes the short-term dynamics of in vivo spike transmission at a diverse set of identified and putative excitatory synapses, including a thalamothalamic connection in mouse, a thalamocortical connection in a female rabbit, and an auditory brainstem synapse in a female gerbil. We illustrate the utility of this modeling approach by showing how the spike transmission patterns captured by the model may be sufficient to account for stimulus-dependent differences in spike transmission in the auditory brainstem (endbulb of Held). Finally, we apply this model to large-scale multi-electrode recordings to illustrate how such an approach has the potential to reveal cell-type specific differences in spike transmission in vivo. Although short-term synaptic plasticity parameters estimated from ongoing pre- and postsynaptic spiking are highly uncertain, our results are partially consistent with previous intracellular observations in these synapses.Significance StatementAlthough synaptic dynamics have been extensively studied and modeled using intracellular recordings of post-synaptic currents and potentials, inferring synaptic effects from extracellular spiking is challenging. Whether or not a synaptic current contributes to postsynaptic spiking depends not only on the amplitude of the current, but also on many other factors, including the activity of other, typically unobserved, synapses, the overall excitability of the postsynaptic neuron, and how recently the postsynaptic neuron has spiked. Here we developed a model that, using only observations of pre- and postsynaptic spiking, aims to describe the dynamics of in vivo spike transmission by modeling both short-term synaptic plasticity and non-synaptic effects. This approach may provide a novel description of fast, structured changes in spike transmission.

scholarly journals Factors Influencing Short-term Synaptic Plasticity in the Avian Cochlear Nucleus Magnocellularis

2015 ◽  
Vol 9s2 ◽  
pp. JEN.S25472 ◽  
Author(s):  
Jason Tait Sanchez Quinones ◽  
Quinones Karla ◽  
Otto-Meyer Sebastian
Keyword(s):  
Synaptic Plasticity ◽  
Cochlear Nucleus ◽  
Time Course ◽  
Synaptic Depression ◽  
Auditory Brainstem ◽  
Short Term ◽  
Nucleus Magnocellularis ◽  
Developmental Shift ◽  
Acid Type ◽  
Synaptic Dynamics

Defined as reduced neural responses during high rates of activity, synaptic depression is a form of short-term plasticity important for the temporal filtering of sound. In the avian cochlear nucleus magnocellularis (NM), an auditory brainstem structure, mechanisms regulating short-term synaptic depression include pre-, post-, and extrasynaptic factors. Using varied paired-pulse stimulus intervals, we found that the time course of synaptic depression lasts up to four seconds at late-developing NM synapses. Synaptic depression was largely reliant on exogenous Ca2+-dependent probability of presynaptic neurotransmitter release, and to a lesser extent, on the desensitization of postsynaptic α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid-type glutamate receptor (AMPA-R). Interestingly, although extrasynaptic glutamate clearance did not play a significant role in regulating synaptic depression, blocking glutamate clearance at early-developing synapses altered synaptic dynamics, changing responses from depression to facilitation. These results suggest a developmental shift in the relative reliance on pre-, post-, and extrasynaptic factors in regulating short-term synaptic plasticity in NM.

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