Mapping Synaptic Inputs of Developing Neurons Using Calcium Imaging

Author(s):  
Johan Winnubst ◽  
Christian Lohmann
2021 ◽  
Author(s):  
Kaspar Podgorski ◽  
Tristan Dellazizzo Toth ◽  
Patrick Coleman ◽  
Serhiy Opushnyev ◽  
Janaina Brusco ◽  
...  

AbstractThe distribution of synapses across dendritic arbors determines their contribution to neural computations since nonlinear conductances amplify co-active clustered inputs. To determine whether, and how patterned synaptic topography arises during development we developed a random-access microscope capable of full-neuron calcium imaging of activity and structural plasticity of developing neurons in awake Xenopus tadpoles. By imaging growing brain neurons in response to plasticity-inducing visual training, we show coordinated growth and synaptogenesis specific to each neuron’s spike tuning. High evoked activity in neurons tuned to the trained stimulus induced pruning of non-driven inputs across the dendritic arbor as these neurons strengthened their responses to this stimulus. In stark contrast, initially unresponsive neurons that shifted their spike tuning toward the trained stimulus exhibited localized growth and new responsive synapses near existing active inputs. These information-driven growth rules promote clustering of synapses tuned to a developing neuron’s emerging receptive field.One-Sentence SummarySensory input directs brain neuronal growth and connectivity promoting clustering of synaptic inputs tuned to a neuron’s encoding properties.


Author(s):  
C.J. Wilson

Most central nervous system neurons receive synaptic input from hundreds or thousands of other neurons, and the computational function of such neurons results from the interactions of inputs on a large and complex scale. In most situations that have yielded to a partial analysis, the synaptic inputs to a neuron are not alike in function, but rather belong to distinct categories that differ qualitatively in the nature of their effect on the postsynaptic cell, and quantitatively in the strength of their influence. Many factors have been demonstrated to contribute to synaptic function, but one of the simplest and best known of these is the geometry of the postsynaptic neuron. The fundamental nature of the relationship between neuronal shape and synaptic effectiveness was established on theoretical grounds prior to its experimental verification.


2017 ◽  
Vol 16 (4) ◽  
pp. 276-287 ◽  
Author(s):  
Michele Iovino ◽  
Vito Giagulli ◽  
Brunella Licchelli ◽  
Emanuela Iovino ◽  
Edoardo Guastamacchia ◽  
...  

BIO-PROTOCOL ◽  
2012 ◽  
Vol 2 (7) ◽  
Author(s):  
Mingye Feng
Keyword(s):  

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