Role of Ca2+ channels in short-term synaptic plasticity

2007 ◽  
Vol 17 (3) ◽  
pp. 352-359 ◽  
Author(s):  
Jianhua Xu ◽  
Liming He ◽  
Ling-Gang Wu
Keyword(s):  
Synaptic Plasticity ◽  
Short Term ◽  
Ca2 Channels

Synapsin Regulates Basal Synaptic Strength, Synaptic Depression, and Serotonin-Induced Facilitation of Sensorimotor Synapses in Aplysia

2007 ◽  
Vol 98 (6) ◽  
pp. 3568-3580 ◽  
Author(s):  
Diasinou Fioravante ◽  
Rong-Yu Liu ◽  
Anne K. Netek ◽  
Leonard J. Cleary ◽  
John H. Byrne
Keyword(s):  
Synaptic Plasticity ◽  
Synaptic Vesicle ◽  
Transmitter Release ◽  
Computational Analysis ◽  
Spontaneous Recovery ◽  
Synaptic Strength ◽  
Short Term ◽  
Homosynaptic Depression ◽  
Heterosynaptic Plasticity

Synapsin is a synaptic vesicle-associated protein implicated in the regulation of vesicle trafficking and transmitter release, but its role in heterosynaptic plasticity remains elusive. Moreover, contradictory results have obscured the contribution of synapsin to homosynaptic plasticity. We previously reported that the neuromodulator serotonin (5-HT) led to the phosphorylation and redistribution of Aplysia synapsin, suggesting that synapsin may be a good candidate for the regulation of vesicle mobilization underlying the short-term synaptic plasticity induced by 5-HT. This study examined the role of synapsin in homosynaptic and heterosynaptic plasticity. Overexpression of synapsin reduced basal transmission and enhanced homosynaptic depression. Although synapsin did not affect spontaneous recovery from depression, it potentiated 5-HT–induced dedepression. Computational analysis showed that the effects of synapsin on plasticity could be adequately simulated by altering the rate of Ca2+-dependent vesicle mobilization, supporting the involvement of synapsin not only in homosynaptic but also in heterosynaptic forms of plasticity by regulating vesicle mobilization.

Long-term depression of Aplysia sensorimotor synapses in cell culture: inductive role of a rise in postsynaptic calcium

1996 ◽  
Vol 76 (3) ◽  
pp. 2111-2114 ◽  
Author(s):  
X. Y. Lin ◽  
D. L. Glanzman
Keyword(s):  
Cell Culture ◽  
Synaptic Plasticity ◽  
Sensory Neurons ◽  
Tetraacetic Acid ◽  
Short Term ◽  
Long Term Depression ◽  
Central Synapses ◽  
Postsynaptic Calcium

1. Activation of sensory neurons at 2 Hz for 15 min induces long-term depression (LTD) of isolated Aplysia sensorimotor synapses in cell culture. 2. Prior infusion of the Ca2+ chelator 1,2-bis-(2-aminophenoxy)-ethane-N,N,N',N'-tetraacetic acid (BAPTA) into the postsynaptic motor neuron blocks the induction of LTD, but not short-term synaptic depression. 3. Invertebrate central synapses possess the capacity for LTD. This form of long-term synaptic plasticity may play an important role in learning in Aplysia.

scholarly journals Role of the calcium-binding protein parvalbumin in short-term synaptic plasticity

2000 ◽  
Vol 97 (24) ◽  
pp. 13372-13377 ◽  
Author(s):  
O. Caillard ◽  
H. Moreno ◽  
B. Schwaller ◽  
I. Llano ◽  
M. R. Celio ◽  
...  
Keyword(s):  
Synaptic Plasticity ◽  
Calcium Binding ◽  
Binding Protein ◽  
Calcium Binding Protein ◽  
Short Term

scholarly journals Dynamic modulation of short-term synaptic plasticity in the auditory cortex: The role of norepinephrine

2011 ◽  
Vol 271 (1-2) ◽  
pp. 26-36 ◽  
Author(s):  
Humberto Salgado ◽  
Francisco García-Oscos ◽  
Lu Dinh ◽  
Marco Atzori
Keyword(s):  
Synaptic Plasticity ◽  
Auditory Cortex ◽  
Short Term ◽  
Dynamic Modulation

scholarly journals Learning to Discriminate Through Long-Term Changes of Dynamical Synaptic Transmission

2009 ◽  
Vol 21 (12) ◽  
pp. 3408-3428 ◽  
Author(s):  
Christian Leibold ◽  
Michael H. K. Bendels
Keyword(s):  
Synaptic Plasticity ◽  
Learning Rule ◽  
Recurrent Network ◽  
Short Term ◽  
Input Space ◽  
Capacity Limit ◽  
Classical Receptive Field ◽  
Synaptic Changes

Short-term synaptic plasticity is modulated by long-term synaptic changes. There is, however, no general agreement on the computational role of this interaction. Here, we derive a learning rule for the release probability and the maximal synaptic conductance in a circuit model with combined recurrent and feedforward connections that allows learning to discriminate among natural inputs. Short-term synaptic plasticity thereby provides a nonlinear expansion of the input space of a linear classifier, whereas the random recurrent network serves to decorrelate the expanded input space. Computer simulations reveal that the twofold increase in the number of input dimensions through short-term synaptic plasticity improves the performance of a standard perceptron up to 100%. The distributions of release probabilities and maximal synaptic conductances at the capacity limit strongly depend on the balance between excitation and inhibition. The model also suggests a new computational interpretation of spikes evoked by stimuli outside the classical receptive field. These neuronal activities may reflect decorrelation of the expanded stimulus space by intracortical synaptic connections.

scholarly journals Discrimination of Motion Direction in a Robot Using a Phenomenological Model of Synaptic Plasticity

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Nareg Berberian ◽  
Matt Ross ◽  
Sylvain Chartier
Keyword(s):  
Synaptic Plasticity ◽  
Direction Selectivity ◽  
Response Property ◽  
Short Term ◽  
Motion Direction ◽  
Response Characteristics ◽  
Orientation Stimulus ◽  
Robotic Agent ◽  
Complementary Mechanism

Recognizing and tracking the direction of moving stimuli is crucial to the control of much animal behaviour. In this study, we examine whether a bio-inspired model of synaptic plasticity implemented in a robotic agent may allow the discrimination of motion direction of real-world stimuli. Starting with a well-established model of short-term synaptic plasticity (STP), we develop a microcircuit motif of spiking neurons capable of exhibiting preferential and nonpreferential responses to changes in the direction of an orientation stimulus in motion. While the robotic agent processes sensory inputs, the STP mechanism introduces direction-dependent changes in the synaptic connections of the microcircuit, resulting in a population of units that exhibit a typical cortical response property observed in primary visual cortex (V1), namely, direction selectivity. Visually evoked responses from the model are then compared to those observed in multielectrode recordings from V1 in anesthetized macaque monkeys, while sinusoidal gratings are displayed on a screen. Overall, the model highlights the role of STP as a complementary mechanism in explaining the direction selectivity and applies these insights in a physical robot as a method for validating important response characteristics observed in experimental data from V1, namely, direction selectivity.

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