scholarly journals S100β‐mediated astroglial control of firing and input processing in layer 5 pyramidal neurons of the mouse visual cortex

2020 ◽  
Author(s):  
Dimitri Ryczko ◽  
Maroua Hanini‐Daoud ◽  
Steven Condamine ◽  
Benjamin J. B. Bréant ◽  
Maxime Fougère ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Pyramidal Neurons ◽  
Input Processing ◽  
Mouse Visual Cortex

Astrocytes control the spiking of mouse visual cortex layer 5 pyramidal neurons

2021 ◽  
Author(s):  
Sivaraj Mohana Sundaram ◽  
Pretty Garg ◽  
Heiko Leßlich ◽  
Sakthikumar Mathivanan
Keyword(s):  
Visual Cortex ◽  
Pyramidal Neurons ◽  
Mouse Visual Cortex

scholarly journals Single-shock LTD by local dendritic spikes in pyramidal neurons of mouse visual cortex

2004 ◽  
Vol 560 (1) ◽  
pp. 27-36 ◽  
Author(s):  
Knut Holthoff ◽  
Yury Kovalchuk ◽  
Rafael Yuste ◽  
Arthur Konnerth
Keyword(s):  
Visual Cortex ◽  
Pyramidal Neurons ◽  
Single Shock ◽  
Dendritic Spikes ◽  
Mouse Visual Cortex

scholarly journals Reliable sensory processing in mouse visual cortex through inhibitory interactions between Somatostatin and Parvalbumin interneurons

2017 ◽  
Author(s):  
Rajeev V. Rikhye ◽  
Ming Hu ◽  
Murat Yildirim ◽  
Mriganka Sur
Keyword(s):  
Visual Cortex ◽  
Cortical Neurons ◽  
Neural Coding ◽  
Computational Models ◽  
Pyramidal Neurons ◽  
Neural Circuit ◽  
Large Variability ◽  
Sensory Stimuli ◽  
Parvalbumin Interneurons ◽  
Mouse Visual Cortex

ABSTRACTCortical neurons often respond to identical sensory stimuli with large variability. However, under certain conditions, the same neurons can also respond highly reliably. The circuit mechanisms that contribute to this modulation, and their influence on behavior remains unknown. Here we used novel double transgenic mice, dual-wavelength calcium imaging and temporally selective optical perturbation to identify an inhibitory neural circuit in visual cortex that can modulate the reliability of pyramidal neurons to naturalistic visual stimuli. Our results, supported by computational models, suggest that somatostatin interneurons (SST-INs) increase pyramidal neuron reliability by suppressing parvalbumin interneurons (PV-INs) via the inhibitory SST→PV circuit. Using a novel movie classification task, we further show that, by reducing variability, activating SST-INs can improve the ability of mice to discriminate between ambiguous stimuli. Together, these findings reveal a novel role of the SST→PV circuit in modulating the fidelity of neural coding critical for visual perception.

scholarly journals The effect of inclusion criteria on the functional properties reported in mouse visual cortex

2020 ◽  
Author(s):  
Natalia Mesa ◽  
Jack Waters ◽  
Saskia E. J. de Vries
Keyword(s):  
Visual Cortex ◽  
Pyramidal Neurons ◽  
Functional Organization ◽  
Frequency Tuning ◽  
Temporal Frequency ◽  
Inclusion Criteria ◽  
Visual Areas ◽  
Layer 2 ◽  
The Mean ◽  
Mouse Visual Cortex

ABSTRACTNeurophysiology studies require the use of inclusion criteria to identify neurons responsive to the experimental stimuli. Five recent studies used calcium imaging to measure the preferred tuning properties of layer 2/3 pyramidal neurons in mouse visual areas. These five studies employed different inclusion criteria and report different, sometimes conflicting results. Here, we examine how different inclusion criteria can impact reported tuning properties, modifying inclusion criteria to select different sub-populations from the same dataset of almost 10,000 layer 2/3 neurons from the Allen Brain Observatory. The choice of inclusion criteria greatly affected the mean tuning properties of the resulting sub-populations; indeed, the differences in mean tuning due to inclusion criteria were often of comparable magnitude to the differences between studies. In particular, the mean preferred temporal frequencies of visual areas changed markedly with inclusion criteria, such that the rank ordering of visual areas based on their temporal frequency preferences changed with the percentage of neurons included. It has been suggested that differences in temporal frequency tuning support a hierarchy of mouse visual areas. These results demonstrate that our understanding of the functional organization of the mouse visual cortex obtained from previous experiments critically depends on the inclusion criteria used.

scholarly journals Spatial clustering of inhibition in mouse primary visual cortex

2019 ◽  
Author(s):  
Pawan Bista ◽  
Rinaldo D. D’Souza ◽  
Andrew M. Meier ◽  
Weiqing Ji ◽  
Andreas Burkhalter
Keyword(s):  
Visual Cortex ◽  
Long Range ◽  
Primary Visual Cortex ◽  
Pyramidal Neurons ◽  
Spatial Clustering ◽  
Muscarinic Acetylcholine Receptor ◽  
Feature Maps ◽  
Lateral Posterior ◽  
Mouse Visual Cortex ◽  
Relative Excitation

SUMMARYWhether mouse visual cortex contains orderly feature maps is debated. The overlapping pattern of geniculocortical (dLGN) inputs with M2 muscarinic acetylcholine receptor-rich patches in layer 1 (L1) suggests a non-random architecture. Here, we found that L1 inputs from the lateral posterior thalamus (LP) avoid patches and target interpatches. Channelrhodopsin-assisted mapping of EPSCs in L2/3 shows that the relative excitation of parvalbumin-expressing interneurons (PVs) and pyramidal neurons (PNs) by dLGN, LP and cortical feedback are distinct and depend on whether the neurons reside in clusters aligned with patches or interpatches. Paired recordings from PVs and PNs shows that unitary IPSCs are larger in interpatches than patches. The spatial clustering of inhibition is matched by dense clustering of PV-terminals in interpatches. The results show that the excitation/inhibition balance across V1 is organized into patch and interpatch subnetworks which receive distinct long-range inputs and are specialized for the processing of distinct spatiotemporal features.

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