scholarly journals Activity-dependent synaptic plasticity in the supraoptic nucleus of the rat hypothalamus

2006 ◽  
Vol 573 (3) ◽  
pp. 711-721 ◽  
Author(s):  
Aude Panatier ◽  
Stephen J. Gentles ◽  
Charles W. Bourque ◽  
Stéphane H. R. Oliet
Endocrinology ◽  
2005 ◽  
Vol 146 (1) ◽  
pp. 348-354 ◽  
Author(s):  
Nancy K. Mueller ◽  
Shi Di ◽  
Charles M. Paden ◽  
James P. Herman

Confocal microscopy was used to assess activity-dependent neuroplasticity in neurotransmitter innervation of vasopressin immunoreactive magnocellular neurons in the supraoptic nucleus (SON). Vesicular glutamate transporter 2, glutamic acid decarboxylase, and dopamine β-hydroxylase (DBH) synaptic boutons were visualized in apposition to vasopressin neurons in the SON. A decrease in DBH synaptic boutons per cell was seen upon salt loading, indicating diminished noradrenergic/adrenergic innervation. Loss of DBH appositions to vasopressin neurons was associated with a general loss of DBH immunoreactivity in the SON. In contrast, the number of vesicular glutamate transporter 2 synaptic boutons per neuron increased with salt loading, consistent with increased glutamatergic drive of magnocellular SON neurons. Salt loading also caused an increase in the total number of glutamic acid decarboxylase synaptic boutons on vasopressinergic neurons, suggesting enhanced inhibitory innervation as well. These studies indicate that synaptic plasticity compensates for increased secretory demand and may indeed underlie increased secretion, perhaps via neurotransmitter-specific, activity-related changes in synaptic contacts on vasopressinergic magnocellular neurons in the SON.


2022 ◽  
Author(s):  
Alberto Lazari ◽  
Piergiorgio Salvan ◽  
Michiel Cottaar ◽  
Daniel Papp ◽  
Matthew FS Rushworth ◽  
...  

Synaptic plasticity is required for learning and follows Hebb's Rule, the computational principle underpinning associative learning. In recent years, a complementary type of brain plasticity has been identified in myelinated axons, which make up the majority of brain's white matter. Like synaptic plasticity, myelin plasticity is required for learning, but it is unclear whether it is Hebbian or whether it follows different rules. Here, we provide evidence that white matter plasticity operates following Hebb's Rule in humans. Across two experiments, we find that co-stimulating cortical areas to induce Hebbian plasticity leads to relative increases in cortical excitability and associated increases in a myelin marker within the stimulated fiber bundle. We conclude that Hebbian plasticity extends beyond synaptic changes, and can be observed in human white matter fibers.


2002 ◽  
Vol 14 (10) ◽  
pp. 2353-2370 ◽  
Author(s):  
Terry Elliott ◽  
Jörg Kramer

We couple a previously studied, biologically inspired neurotrophic model of activity-dependent competitive synaptic plasticity and neuronal development to a neuromorphic retina chip. Using this system, we examine the development and refinement of a topographic mapping between an array of afferent neurons (the retinal ganglion cells) and an array of target neurons. We find that the plasticity model can indeed drive topographic refinement in the presence of afferent activity patterns generated by a real-world device. We examine the resilience of the developing system to the presence of high levels of noise by adjusting the spontaneous firing rate of the silicon neurons.


2012 ◽  
Vol 122 (3) ◽  
pp. 582-593 ◽  
Author(s):  
GuoQi Zhu ◽  
YuYing Huang ◽  
Ying Chen ◽  
YingHan Zhuang ◽  
Thomas Behnisch

2018 ◽  
Vol 24 (8) ◽  
pp. 1206-1219 ◽  
Author(s):  
Maja Djurisic ◽  
Barbara K. Brott ◽  
Nay L. Saw ◽  
Mehrdad Shamloo ◽  
Carla J. Shatz

2019 ◽  
Vol 5 (3) ◽  
pp. 147-161 ◽  
Author(s):  
Nicholas E. Clifton ◽  
Simon Trent ◽  
Kerrie L. Thomas ◽  
Jeremy Hall

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