scholarly journals Adaptation of spontaneous activity in the developing visual cortex

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Marina E Wosniack ◽  
Jan H Kirchner ◽  
Ling-Ya Chao ◽  
Nawal Zabouri ◽  
Christian Lohmann ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Spontaneous Activity ◽  
Activity Patterns ◽  
Network Connectivity ◽  
Cortical Activation ◽  
Cortical Input ◽  
Visual Inputs ◽  
Eye Opening ◽  
Global Events

Spontaneous activity drives the establishment of appropriate connectivity in different circuits during brain development. In the mouse primary visual cortex, two distinct patterns of spontaneous activity occur before vision onset: local low-synchronicity events originating in the retina and global high-synchronicity events originating in the cortex. We sought to determine the contribution of these activity patterns to jointly organize network connectivity through different activity-dependent plasticity rules. We postulated that local events shape cortical input selectivity and topography, while global events homeostatically regulate connection strength. However, to generate robust selectivity, we found that global events should adapt their amplitude to the history of preceding cortical activation. We confirmed this prediction by analyzing in vivo spontaneous cortical activity. The predicted adaptation leads to the sparsification of spontaneous activity on a slower timescale during development, demonstrating the remarkable capacity of the developing sensory cortex to acquire sensitivity to visual inputs after eye-opening.

scholarly journals Adaptation of spontaneous activity in the developing visual cortex

2020 ◽  
Author(s):  
Marina E. Wosniack ◽  
Jan H. Kirchner ◽  
Ling-Ya Chao ◽  
Nawal Zabouri ◽  
Christian Lohmann ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Spontaneous Activity ◽  
Activity Patterns ◽  
Network Connectivity ◽  
Cortical Activation ◽  
Cortical Input ◽  
Visual Inputs ◽  
Eye Opening ◽  
Global Events

Spontaneous activity drives the establishment of appropriate connectivity in different circuits during brain development. In the mouse primary visual cortex, two distinct patterns of spontaneous activity occur before vision onset: local low-synchronicity events originating in the retina, and global high-synchronicity events originating in the cortex. We sought to determine the contribution of these activity patterns to jointly organize network connectivity through different activity-dependent plasticity rules. We found that local events shape cortical input selectivity and topography, while global events have a homeostatic role regulating connection strength. To generate robust selectivity, we predicted that global events should adapt their amplitude to the history of preceding cortical activation, and confirmed by analyzing in vivo spontaneous cortical activity. This adaptation led to the sparsification of spontaneous activity on a slower timescale during development, demonstrating the remarkable capacity of the developing sensory cortex to acquire sensitivity to visual inputs after eye-opening.

scholarly journals Oxytocin shapes spontaneous activity patterns in the developing visual cortex by activating somatostatin interneurons

2019 ◽  
Author(s):  
Paloma P Maldonado ◽  
Alvaro Nuno-Perez ◽  
Jan Kirchner ◽  
Elizabeth Hammock ◽  
Julijana Gjorgjieva ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Spontaneous Activity ◽  
Sensory Processing ◽  
Activity Patterns ◽  
Network Activity ◽  
Synaptic Connections ◽  
Pairwise Correlations ◽  
Early Brain Development

SummarySpontaneous network activity shapes emerging neuronal circuits during early brain development, however how neuromodulation influences this activity is not fully understood. Here, we report that the neuromodulator oxytocin powerfully shapes spontaneous activity patterns. In vivo, oxytocin strongly decreased the frequency and pairwise correlations of spontaneous activity events in visual cortex (V1), but not in somatosensory cortex (S1). This differential effect was a consequence of oxytocin only increasing inhibition in V1 and increasing both inhibition and excitation in S1. The increase in inhibition was mediated by the depolarization and increase in excitability of somatostatin+ (SST) interneurons specifically. Accordingly, silencing SST+ neurons pharmacogenetically fully blocked oxytocin’s effect on inhibition in vitro as well its effect on spontaneous activity patterns in vivo. Thus, oxytocin decreases the excitatory/inhibitory ratio and modulates specific features of V1 spontaneous activity patterns that are crucial for refining developing synaptic connections and sensory processing later in life.

scholarly journals Experience-dependent development and maintenance of binocular neurons in the mouse visual cortex

2019 ◽  
Author(s):  
Kyle R. Jenks ◽  
Jason D. Shepherd
Keyword(s):  
Visual Cortex ◽  
Binocular Vision ◽  
Visual Processing ◽  
Normal Development ◽  
Multiple Time ◽  
Visual Response ◽  
Response Properties ◽  
Dependent Plasticity ◽  
Eye Opening

ABSTRACTThe normal development of neuronal circuits requires both hard-wired gene expression and experience. Sensory processing, such as vision, is especially sensitive to perturbations in experience. However, the exact contribution of experience to neuronal visual response properties and binocular vision remains unknown. To determine how visual response properties developin vivo, we used single cell resolution two-photon calcium imaging of mouse binocular visual cortex at multiple time-points after eye opening. Few neurons are binocularly responsive immediately after eye opening and respond solely to either the contralateral or ipsilateral eye. Binocular neurons emerge during development, which requires visual experience, and show specific tuning of visual response properties. As binocular neurons emerge, activity between the two eyes becomes more correlated in the neuropil. Since experience-dependent plasticity requires the expression of activity-dependent genes, we determined whether the plasticity geneArcmediates the development of normal visual response properties. Surprisingly, rather than mirroring the effects of visual deprivation, mice that lackArcshow increased numbers of binocular neurons during development. Strikingly, removingArcin adult binocular visual cortex increases the numbers of binocular neurons and recapitulates the developmental phenotype, suggesting cortical circuits that mediate visual processing require ongoing experience-dependent plasticity. Thus, experience is critical for the normal development and maintenance of circuits required to process binocular vision.

scholarly journals Spontaneous retinal waves generate long-range horizontal connectivity in visual cortex

2020 ◽  
Author(s):  
Jinwoo Kim ◽  
Min Song ◽  
Se-Bum Paik
Keyword(s):  
Visual Cortex ◽  
Long Range ◽  
Primary Visual Cortex ◽  
Cortical Neurons ◽  
Activity Patterns ◽  
Developmental Model ◽  
List Type ◽  
Retinal Waves ◽  
Horizontal Connections ◽  
Eye Opening

AbstractIn the primary visual cortex (V1) of higher mammals, long-range horizontal connections (LHCs) are observed to develop, linking iso-orientation domains of cortical tuning. It is unknown how this feature-specific wiring of circuitry develops before eye opening. Here, we show that LHCs in V1 may originate from spatio-temporally structured feedforward activities generated from spontaneous retinal waves. Using model simulations based on the anatomy and observed activity patterns of the retina, we show that waves propagating in retinal mosaics can initialize the wiring of LHCs by co-activating neurons of similar tuning, whereas equivalent random activities cannot induce such organizations. Simulations showed that emerged LHCs can produce the patterned activities observed in V1, matching topography of the underlying orientation map. We also confirmed that the model can also reproduce orientation-specific microcircuits in salt-and-pepper organizations in rodents. Our results imply that early peripheral activities contribute significantly to cortical development of functional circuits.HighlightsDevelopmental model of long-range horizontal connections (LHCs) in V1 is simulatedSpontaneous retinal waves generate feature-specific wiring of LHCs in visual cortexEmerged LHCs induce orientation-matching patterns of spontaneous cortical activityRetinal waves induce orientation-specific microcircuits of visual cortex in rodentsSignificance statementLong-range horizontal connections (LHCs) in the primary visual cortex (V1) are observed to emerge before the onset of visual experience, selectively connecting iso-domains of orientation maps. However, it is unknown how such tuning-specific wirings develop before eye-opening. Here, we show that LHCs in V1 originate from the tuning-specific activation of cortical neurons by spontaneous retinal waves during early developmental stages. Our simulations of a visual cortex model show that feedforward activities from the retina initialize the spatial organization of activity patterns in V1, which induces visual feature-specific wirings of V1 neurons. Our model also explains the origin of cortical microcircuits observed in rodents, suggesting that the proposed developmental mechanism is applicable universally to circuits of various mammalian species.

scholarly journals Experience-dependent reorganization drives development of a binocularly unified cortical representation of orientation

2019 ◽  
Author(s):  
David Whitney ◽  
Jeremy T. Chang ◽  
David Fitzpatrick
Keyword(s):  
Visual Cortex ◽  
Calcium Imaging ◽  
Developmental Process ◽  
Activity Patterns ◽  
External World ◽  
Neural Representations ◽  
Binocular Stimulation ◽  
Early Developmental ◽  
Dependent Processes

SummaryAcross sensory areas, neural microcircuits consolidate diverse streams of information into unified, representations of the external world. In the carnivore visual cortex, where eye-specific inputs converge, it has been posited that a single, shared columnar representation of orientation develops independent of sensory experience. In this study, in vivo calcium imaging with columnar and cellular resolution reveals a strikingly different developmental process in ferret visual cortex, starting with an early developmental period in which contralateral, ipsilateral or binocular stimulation each yield distinct well-organized representations of orientation that are misaligned at the columnar and cellular scale. Experience-dependent processes drive the reorganization of these three representations towards a single binocularly-aligned representation resembling the early binocular representation through concerted shifts in the preferred orientation of individual neurons. Thus, contrary to previous findings, a unified binocular representation of orientation results from an experience-dependent process that aligns the activity patterns of three distinct neural representations.

scholarly journals Homeostatic activity-dependent tuning of recurrent networks for robust propagation of activity

2015 ◽  
Author(s):  
Julijana Gjorgjieva ◽  
Jan Felix Evers ◽  
Stephen Eglen
Keyword(s):  
Spontaneous Activity ◽  
Activity Patterns ◽  
Network Connectivity ◽  
Recurrent Network ◽  
Recurrent Networks ◽  
Synaptic Growth ◽  
Network Output ◽  
Homeostatic Model ◽  
Weak Connectivity ◽  
Activity Dependent

Developing neuronal networks display spontaneous rhythmic bursts of action potentials that are necessary for circuit organization and tuning. While spontaneous activity has been shown to instruct map formation in sensory circuits, it is unknown whether it plays a role in the organization of motor networks that produce rhythmic output. Using computational modeling we investigate how recurrent networks of excitatory and inhibitory neuronal populations assemble to produce robust patterns of unidirectional and precisely-timed propagating activity during organism locomotion. One example is provided by the motor network in Drosophila larvae, which generates propagating peristaltic waves of muscle contractions during crawling. We examine two activity-dependent models which tune weak network connectivity based on spontaneous activity patterns: a Hebbian model, where coincident activity in neighboring populations strengthens connections between them; and a homeostatic model, where connections are homeostatically regulated to maintain a constant level of excitatory activity based on spontaneous input. The homeostatic model tunes network connectivity to generate robust activity patterns with the appropriate timing relationships between neighboring populations. These timing relationships can be modulated by the properties of spontaneous activity suggesting its instructive role for generating functional variability in network output. In contrast, the Hebbian model fails to produce the tight timing relationships between neighboring populations required for unidirectional activity propagation, even when additional assumptions are imposed to constrain synaptic growth. These results argue that homeostatic mechanisms are more likely than Hebbian mechanisms to tune weak connectivity based on local activity patterns in a recurrent network for rhythm generation and propagation.

scholarly journals Spontaneous Plasticity of Multineuronal Activity Patterns in Activated Hippocampal Networks

2008 ◽  
Vol 2008 ◽  
pp. 1-8 ◽  
Author(s):  
Atsushi Usami ◽  
Norio Matsuki ◽  
Yuji Ikegaya
Keyword(s):  
Spontaneous Activity ◽  
Activity Patterns ◽  
Cell Number ◽  
Activity Level ◽  
Correlated Activity ◽  
Activity Frequency ◽  
Level Of Activity ◽  
Multineuronal Activity ◽  
Hippocampal Networks

Using functional multineuron imaging with single-cell resolution, we examined how hippocampal networks by themselves change the spatiotemporal patterns of spontaneous activity during the course of emitting spontaneous activity. When extracellular ionic concentrations were changed to those that mimicked in vivo conditions, spontaneous activity was increased in active cell number and activity frequency. When ionic compositions were restored to the control conditions, the activity level returned to baseline, but the weighted spatial dispersion of active cells, as assessed by entropy-based metrics, did not. Thus, the networks can modify themselves by altering the internal structure of their correlated activity, even though they as a whole maintained the same level of activity in space and time.

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