scholarly journals Physiological differences between neurons in layer 2 and layer 3 of primary visual cortex (V1) of alert macaque monkeys

2008 ◽  
Vol 586 (9) ◽  
pp. 2293-2306 ◽  
Author(s):  
Moshe Gur ◽  
D. Max Snodderly
Keyword(s):  
Visual Cortex ◽  
Primary Visual Cortex ◽  
Macaque Monkeys ◽  
Layer 2 ◽  
Physiological Differences

scholarly journals A Quantitative Description of Short-Term Plasticity at Excitatory Synapses in Layer 2/3 of Rat Primary Visual Cortex

1997 ◽  
Vol 17 (20) ◽  
pp. 7926-7940 ◽  
Author(s):  
Juan A. Varela ◽  
Kamal Sen ◽  
Jay Gibson ◽  
Joshua Fost ◽  
L. F. Abbott ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Primary Visual Cortex ◽  
Quantitative Description ◽  
Excitatory Synapses ◽  
Short Term ◽  
Short Term Plasticity ◽  
Layer 2

scholarly journals Visual Tuning Properties of Genetically Identified Layer 2/3 Neuronal Types in the Primary Visual Cortex of Cre-Transgenic Mice

2011 ◽  
Vol 4 ◽  
Author(s):  
Hatim A. Zariwala ◽  
Linda Madisen ◽  
Kurt F. Ahrens ◽  
Amy Bernard ◽  
Edward S. Lein ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Transgenic Mice ◽  
Primary Visual Cortex ◽  
Layer 2 ◽  
Neuronal Types

scholarly journals Vision reconstructs the cellular composition of binocular circuitry during the critical period

2020 ◽  
Author(s):  
Liming Tan ◽  
Elaine Tring ◽  
Dario L. Ringach ◽  
S. Lawrence Zipursky ◽  
Joshua T. Trachtenberg
Keyword(s):  
Visual Cortex ◽  
Receptive Field ◽  
Primary Visual Cortex ◽  
Critical Period ◽  
Cellular Composition ◽  
Feature Detectors ◽  
Layer 2 ◽  
Layer 4 ◽  
High Acuity ◽  
Longitudinal Imaging

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.

scholarly journals Modeling robust and efficient coding in the mouse primary visual cortex using computational perturbations

2020 ◽  
Author(s):  
Binghuang Cai ◽  
Yazan N. Billeh ◽  
Selmaan N. Chettih ◽  
Christopher D. Harvey ◽  
Christof Koch ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Primary Visual Cortex ◽  
Large Scale ◽  
Scale Model ◽  
Cortical Model ◽  
Functional Roles ◽  
Visual Inputs ◽  
Large Scale Model ◽  
Layer 2 ◽  
Robust Codes

AbstractInvestigating how visual inputs are encoded in visual cortex is important for elucidating the roles of cell populations in circuit computations. We here use a recently developed, large-scale model of mouse primary visual cortex (V1) and perturb both single neurons as well as functional- and cell-type defined population of neurons to mimic equivalent optogenetic perturbations. First, perturbations were performed to study the functional roles of layer 2/3 excitatory neurons in inter-laminar interactions. We observed activity changes consistent with the canonical cortical model (Douglas and Martin 1991). Second, single neuron perturbations in layer 2/3 revealed a center-surround inhibition-dominated effect, consistent with recent experiments. Finally, perturbations of multiple excitatory layer 2/3 neurons during visual stimuli of varying contrasts indicated that the V1 model has both efficient and robust coding features. The circuit transitions from predominantly broad like-to-like inhibition at high contrasts to predominantly specific like-to-like excitation at low contrasts. These in silico results demonstrate how the circuit can shift from redundancy reduction to robust codes as a function of stimulus contrast.

scholarly journals Orientation tuning depends on spatial frequency in mouse visual cortex

2016 ◽  
Author(s):  
Inbal Ayzenshtat ◽  
Jesse Jackson ◽  
Rafael Yuste
Keyword(s):  
Visual Cortex ◽  
Spatial Frequency ◽  
Visual System ◽  
Primary Visual Cortex ◽  
Receptive Fields ◽  
Orientation Selectivity ◽  
Natural Scenes ◽  
Response Properties ◽  
Layer 2 ◽  
Mouse Visual Cortex

AbstractThe response properties of neurons to sensory stimuli have been used to identify their receptive fields and functionally map sensory systems. In primary visual cortex, most neurons are selective to a particular orientation and spatial frequency of the visual stimulus. Using two-photon calcium imaging of neuronal populations from the primary visual cortex of mice, we have characterized the response properties of neurons to various orientations and spatial frequencies. Surprisingly, we found that the orientation selectivity of neurons actually depends on the spatial frequency of the stimulus. This dependence can be easily explained if one assumed spatially asymmetric Gabor-type receptive fields. We propose that receptive fields of neurons in layer 2/3 of visual cortex are indeed spatially asymmetric, and that this asymmetry could be used effectively by the visual system to encode natural scenes.Significance StatementIn this manuscript we demonstrate that the orientation selectivity of neurons in primary visual cortex of mouse is highly dependent on the stimulus SF. This dependence is realized quantitatively in a decrease in the selectivity strength of cells in non-optimum SF, and more importantly, it is also evident qualitatively in a shift in the preferred orientation of cells in non-optimum SF. We show that a receptive-field model of a 2D asymmetric Gabor, rather than a symmetric one, can explain this surprising observation. Therefore, we propose that the receptive fields of neurons in layer 2/3 of mouse visual cortex are spatially asymmetric and this asymmetry could be used effectively by the visual system to encode natural scenes.Highlights–Orientation selectivity is dependent on spatial frequency.–Asymmetric Gabor model can explain this dependence.

scholarly journals VIP interneurons in mouse primary visual cortex selectively enhance responses to weak but specific stimuli

eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Daniel J Millman ◽  
Gabriel Koch Ocker ◽  
Shiella Caldejon ◽  
India Kato ◽  
Josh D Larkin ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Primary Visual Cortex ◽  
Pyramidal Neurons ◽  
Feedback Inhibition ◽  
Neuron Activity ◽  
Low Contrast ◽  
Visual Coding ◽  
Mutual Antagonism ◽  
Layer 2 ◽  
Highly Correlated

Vasoactive intestinal peptide-expressing (VIP) interneurons in the cortex regulate feedback inhibition of pyramidal neurons through suppression of somatostatin-expressing (SST) interneurons and, reciprocally, SST neurons inhibit VIP neurons. Although VIP neuron activity in the primary visual cortex (V1) of mouse is highly correlated with locomotion, the relevance of locomotion-related VIP neuron activity to visual coding is not known. Here we show that VIP neurons in mouse V1 respond strongly to low contrast front-to-back motion that is congruent with self-motion during locomotion but are suppressed by other directions and contrasts. VIP and SST neurons have complementary contrast tuning. Layer 2/3 contains a substantially larger population of low contrast preferring pyramidal neurons than deeper layers, and layer 2/3 (but not deeper layer) pyramidal neurons show bias for front-to-back motion specifically at low contrast. Network modeling indicates that VIP-SST mutual antagonism regulates the gain of the cortex to achieve sensitivity to specific weak stimuli without compromising network stability.

scholarly journals Predictive Coding of Novel versus Familiar Stimuli in the Primary Visual Cortex

2017 ◽  
Author(s):  
Jan Homann ◽  
Sue Ann Koay ◽  
Alistair M. Glidden ◽  
David W. Tank ◽  
Michael J. Berry
Keyword(s):  
Visual Cortex ◽  
Primary Visual Cortex ◽  
Predictive Coding ◽  
Stimulus Sequence ◽  
Layer 2 ◽  
Elevated Activity ◽  
Stimulus Identity ◽  
High Level ◽  
Familiar Stimuli ◽  
Sustained Responses

AbstractTo explore theories of predictive coding, we presented mice with repeated sequences of images with novel images sparsely substituted. Under these conditions, mice could be rapidly trained to lick in response to a novel image, demonstrating a high level of performance on the first day of testing. Using 2-photon calcium imaging to record from layer 2/3 neurons in the primary visual cortex, we found that novel images evoked excess activity in the majority of neurons. When a new stimulus sequence was repeatedly presented, a majority of neurons had similarly elevated activity for the first few presentations, which then decayed to almost zero activity. The decay time of these transient responses was not fixed, but instead scaled with the length of the stimulus sequence. However, at the same time, we also found a small fraction of the neurons within the population (∼2%) that continued to respond strongly and periodically to the repeated stimulus. Decoding analysis demonstrated that both the transient and sustained responses encoded information about stimulus identity. We conclude that the layer 2/3 population uses a two-channel predictive code: a dense transient code for novel stimuli and a sparse sustained code for familiar stimuli. These results extend and unify existing theories about the nature of predictive neural codes.

scholarly journals Chromatic micromaps in primary visual cortex

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Soumya Chatterjee ◽  
Kenichi Ohki ◽  
R. Clay Reid
Keyword(s):  
Fine Structure ◽  
Visual Cortex ◽  
Primary Visual Cortex ◽  
Calcium Imaging ◽  
Similar Response ◽  
Functional Architecture ◽  
Color Representation ◽  
Two Photon ◽  
Layer 2 ◽  
Spatial Content

AbstractThe clustering of neurons with similar response properties is a conspicuous feature of neocortex. In primary visual cortex (V1), maps of several properties like orientation preference are well described, but the functional architecture of color, central to visual perception in trichromatic primates, is not. Here we used two-photon calcium imaging in macaques to examine the fine structure of chromatic representation and found that neurons responsive to spatially uniform, chromatic stimuli form unambiguous clusters that coincide with blobs. Further, these responsive groups have marked substructure, segregating into smaller ensembles or micromaps with distinct chromatic signatures that appear columnar in upper layer 2/3. Spatially structured chromatic stimuli revealed maps built on the same micromap framework but with larger subdomains that go well beyond blobs. We conclude that V1 has an architecture for color representation that switches between blobs and a combined blob/interblob system based on the spatial content of the visual scene.

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