scholarly journals Development of Horizontal Projections in Layer 2/3 of Ferret Visual Cortex

1996 ◽  
Vol 6 (2) ◽  
pp. 178-183 ◽  
Author(s):  
Jeremy C. Durack ◽  
Lawrence C. Katz
Keyword(s):  
1997 ◽  
Vol 17 (20) ◽  
pp. 7926-7940 ◽  
Author(s):  
Juan A. Varela ◽  
Kamal Sen ◽  
Jay Gibson ◽  
Joshua Fost ◽  
L. F. Abbott ◽  
...  

2011 ◽  
Vol 105 (1) ◽  
pp. 347-355 ◽  
Author(s):  
Giao B. Hang ◽  
Yang Dan

Neocortical neurons in vivo receive concurrent synaptic inputs from multiple sources, including feedforward, horizontal, and feedback pathways. Layer 2/3 of the visual cortex receives feedforward input from layer 4 and horizontal input from layer 2/3. Firing of the pyramidal neurons, which carries the output to higher cortical areas, depends critically on the interaction of these pathways. Here we examined synaptic integration of inputs from layer 4 and layer 2/3 in rat visual cortical slices. We found that the integration is sublinear and temporally asymmetric, with larger responses if layer 2/3 input preceded layer 4 input. The sublinearity depended on inhibition, and the asymmetry was largely attributable to the difference between the two inhibitory inputs. Interestingly, the asymmetric integration was specific to pyramidal neurons, and it strongly affected their spiking output. Thus via cortical inhibition, the temporal order of activation of layer 2/3 and layer 4 pathways can exert powerful control of cortical output during visual processing.


2009 ◽  
Vol 2009 ◽  
pp. 1-7 ◽  
Author(s):  
Alicja Kreczko ◽  
Anubhuthi Goel ◽  
Lihua Song ◽  
Hey-Kyoung Lee

Proper functioning of the visual system depends on maturation of both excitatory and inhibitory synapses within the visual cortex. Considering that perisomatic inhibition is one of the key factors that control the critical period in visual cortex, it is pertinent to understand its regulation by visual experience. To do this, we developed an immunohistochemical method that allows three-dimensional (3D) analysis of the glutamic acid decarboxylase (GAD) 65-positive inhibitory terminals in the visual cortex. Using this method on transgenic mice expressing yellow fluorescence protein (YFP) in a subset of neurons, we found that the number of somatic GAD65-puncta on individual layer 2/3 pyramidal neurons is reduced when mice are dark-reared from birth and reverted to normal levels by re-exposure to light. There was no change in GAD65-puncta volume or intensity. These results support the reorganization of inhibitory circuitry within layer 2/3 of visual cortex in response to changes in visual experience.


Author(s):  
Hatim A. Zariwala ◽  
Linda Madisen ◽  
Kurt F. Ahrens ◽  
Amy Bernard ◽  
Edward S. Lein ◽  
...  

Author(s):  
Simon Weiler ◽  
Drago Guggiana Nilo ◽  
Tobias Bonhoeffer ◽  
Mark Hübener ◽  
Tobias Rose ◽  
...  

AbstractNeocortical pyramidal cells (PCs) display functional specializations defined by their excitatory and inhibitory circuit connectivity. For layer 2/3 (L2/3) PCs, little is known about the detailed relationship between their neuronal response properties, dendritic structure and their underlying circuit connectivity at the level of single cells. Here, we ask whether L2/3 PCs in mouse primary visual cortex (V1) differ in their functional intra- and interlaminar connectivity patterns, and how this relates to differences in visual response properties. Using a combined approach, we first characterized the orientation and direction tuning of individual L2/3 PCs with in vivo 2-photon calcium imaging. Subsequently, we performed excitatory and inhibitory synaptic input mapping of the same L2/3 PCs in brain slices using laser scanning photostimulation (LSPS).Our data from this structure-connectivity-function analysis show that the sources of excitatory and inhibitory synaptic input are different in their laminar origin and horizontal location with respect to cell position: On average, L2/3 PCs receive more inhibition than excitation from within L2/3, whereas excitation dominates input from L4 and L5. Horizontally, inhibitory input originates from locations closer to the horizontal position of the soma, while excitatory input arises from more distant locations in L4 and L5. In L2/3, the excitatory and inhibitory inputs spatially overlap on average. Importantly, at the level of individual neurons, PCs receive inputs from presynaptic cells located spatially offset, vertically and horizontally, relative to the soma. These input offsets show a systematic correlation with the preferred orientation of the postsynaptic L2/3 PC in vivo. Unexpectedly, this correlation is higher for inhibitory input offsets within L2/3 than for excitatory input offsets. When relating the dendritic complexity of L2/3 PCs to their orientation tuning, we find that sharply tuned cells have a less complex apical tree compared to broadly tuned cells. These results indicate that the spatial input offsets of the functional input connectivity are linked to orientation preference, while the orientation selectivity of L2/3 PCs is more related to the dendritic complexity.


2019 ◽  
Vol 1712 ◽  
pp. 124-131 ◽  
Author(s):  
Kayoung Joo ◽  
Kwang-Hyun Cho ◽  
Sung-Hee Youn ◽  
Hyun-Jong Jang ◽  
Duck-Joo Rhie

2020 ◽  
Author(s):  
Liming Tan ◽  
Elaine Tring ◽  
Dario L. Ringach ◽  
S. Lawrence Zipursky ◽  
Joshua T. Trachtenberg

AbstractHigh acuity binocularity is established in primary visual cortex during an early postnatal critical period. In contrast to current models for the developmental of binocular neurons, we find that the binocular network present at the onset of the critical period is dismantled and remade. Using longitudinal imaging of receptive field tuning (e.g. orientation selectivity) of thousands of layer 2/3 neurons through development, we show most binocular neurons present at critical-period onset are poorly tuned and rendered monocular. These are replenished by newly formed binocular neurons that are established by a vision-dependent recruitment of well-tuned ipsilateral inputs to contralateral monocular neurons with matched tuning properties. The binocular network in layer 4 is equally unstable but does not improve. Thus, vision instructs a new and more sharply tuned binocular network in layer 2/3 by exchanging one population of neurons for another and not by refining an extant network.One Sentence SummaryUnstable binocular circuitry is transformed by vision into a network of highly tuned complex feature detectors in the cortex.


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