scholarly journals Transformation of Primary Sensory Cortical Representations from Layer 4 to Layer 2

2021 ◽  
Author(s):  
Bettina Voelcker ◽  
Simon P Peron
Keyword(s):  
Sensory Input ◽  
Extensive Study ◽  
Cortical Layer ◽  
Object Localization ◽  
Localization Task ◽  
Two Photon ◽  
Sensory Features ◽  
Pairwise Correlations ◽  
Layer 4 ◽  
Cortical Representations

Sensory input arrives from thalamus in cortical layer (L) 4, from which it flows predominantly to superficial layers, so that L4 to L2 constitutes one of the earliest cortical feedforward networks. Despite extensive study, the transformation performed by this network remains poorly understood. We use two-photon calcium imaging in L2-4 of primary vibrissal somatosensory cortex (vS1) to record neural activity as mice perform an object localization task with two whiskers. We find that touch responses sparsen but become more reliable from L4 to L2, with superficial neurons responding to a broader range of touches. Decoding of sensory features either improves from L4 to L2 or remains unchanged. Pairwise correlations increase superficially, with L2/3 containing ensembles of mostly broadly tuned neurons responding robustly to touch. Thus, from L4 to L2, cortex transitions from a dense probabilistic code to a sparse and robust ensemble-based code that improves stimulus decoding, facilitating perception.

Sensory Transmission is Bi-directionally Modulated by Astrocytic Ca2+ in Barrel Cortex of Behaving Mice

2021 ◽  
Author(s):  
Simeng Gu ◽  
Wei Wang ◽  
Kuan Zhang ◽  
Rou Feng ◽  
Naling Li ◽  
...  
Keyword(s):  
Sensory Input ◽  
Barrel Cortex ◽  
Synaptic Function ◽  
Metabolic Clearance ◽  
Sleep State ◽  
Two Photon Microscopy ◽  
Two Photon ◽  
Sensory Transmission

Abstract Different effects of astrocyte during sleep and awake have been extensively studied, especially for metabolic clearance by the glymphatic system, which works during sleep and stops working during waking states. However, how astrocytes contribute to modulation of sensory transmission during sleep and awake animals remain largely unknown. Recent advances in genetically encoded Ca2+ indicators have provided a wealth of information on astrocytic Ca2+, especially in their fine perisynaptic processes, where astrocytic Ca2+ most likely affects the synaptic function. Here we use two-photon microscopy to image astrocytic Ca2+ signaling in freely moving mice trained to run on a wheel in combination with in vivo whole-cell recordings to evaluate the role of astrocytic Ca2+ signaling in different behavior states. We found that there are two kinds of astrocytic Ca2+ signaling: a small long-lasting Ca2+ increase during sleep state and a sharp widespread but short-long-lasting Ca2+ spike when the animal was awake (fluorescence increases were 23.2 ± 14.4% for whisker stimulation at sleep state, compared with 73.3 ± 11.7% for at awake state, paired t-test, p < 0.01). The small Ca2+ transients decreased extracellular K+, hyperpolarized the neurons, and suppressed sensory transmission; while the large Ca2+ wave enhanced sensory input, contributing to reliable sensory transmission in aroused states. Locus coeruleus activation works as a switch between these two kinds of astrocytic Ca2+ elevation. Thus, we show that cortical astrocytes play an important role in processing of sensory input. These two types of events appear to have different pharmacological sources and may play a different role in facilitating the efficacy of sensory transmission.

scholarly journals Fast and robust active neuron segmentation in two-photon calcium imaging using spatiotemporal deep learning

2019 ◽  
Vol 116 (17) ◽  
pp. 8554-8563 ◽  
Author(s):  
Somayyeh Soltanian-Zadeh ◽  
Kaan Sahingur ◽  
Sarah Blau ◽  
Yiyang Gong ◽  
Sina Farsiu
Keyword(s):  
Real Time ◽  
Calcium Imaging ◽  
Large Scale ◽  
Cortical Layer ◽  
Fast Method ◽  
Active Neuron ◽  
Neuronal Coding ◽  
Two Photon ◽  
Neuron Density

Calcium imaging records large-scale neuronal activity with cellular resolution in vivo. Automated, fast, and reliable active neuron segmentation is a critical step in the analysis workflow of utilizing neuronal signals in real-time behavioral studies for discovery of neuronal coding properties. Here, to exploit the full spatiotemporal information in two-photon calcium imaging movies, we propose a 3D convolutional neural network to identify and segment active neurons. By utilizing a variety of two-photon microscopy datasets, we show that our method outperforms state-of-the-art techniques and is on a par with manual segmentation. Furthermore, we demonstrate that the network trained on data recorded at a specific cortical layer can be used to accurately segment active neurons from another layer with different neuron density. Finally, our work documents significant tabulation flaws in one of the most cited and active online scientific challenges in neuron segmentation. As our computationally fast method is an invaluable tool for a large spectrum of real-time optogenetic experiments, we have made our open-source software and carefully annotated dataset freely available online.

scholarly journals Spontaneous activations follow a common developmental course across primary sensory areas in mouse neocortex

2016 ◽  
Vol 116 (2) ◽  
pp. 431-437 ◽  
Author(s):  
Charles G. Frye ◽  
Jason N. MacLean
Keyword(s):  
Calcium Imaging ◽  
Sensory Input ◽  
Primary Auditory Cortex ◽  
Developmental Trajectory ◽  
Two Photon ◽  
Developmental Progression ◽  
Sensory Modalities ◽  
Spatially Distributed ◽  
And Function ◽  
Insight Into

Spontaneous propagation of spiking within the local neocortical circuits of mature primary sensory areas is highly nonrandom, engaging specific sets of interconnected and functionally related neurons. These spontaneous activations promise insight into neocortical structure and function, but their properties in the first 2 wk of perinatal development are incompletely characterized. Previously, we have found that there is a minimal numerical sample, on the order of 400 cells, necessary to fully capture mature neocortical circuit dynamics. Therefore we maximized our numerical sample by using two-photon calcium imaging to observe spontaneous activity in populations of up to 1,062 neurons spanning multiple columns and layers in 52 acute coronal slices of mouse neocortex at each day from postnatal day (PND) 3 to PND 15. Slices contained either primary auditory cortex (A1) or somatosensory barrel field (S1BF), which allowed us to compare sensory modalities with markedly different developmental timelines. Between PND 3 and PND 8, populations in both areas exhibited activations of anatomically compact subgroups on the order of dozens of cells. Between PND 9 and PND 13, the spatiotemporal structure of the activity diversified to include spatially distributed activations encompassing hundreds of cells. Sparse activations covering the entire field of view dominated in slices taken on or after PND 14. These and other findings demonstrate that the developmental progression of spontaneous activations from active local modules in the first postnatal week to sparse, intermingled groups of neurons at the beginning of the third postnatal week generalizes across primary sensory areas, consistent with an intrinsic developmental trajectory independent of sensory input.

scholarly journals Cerebellar Potentiation and Learning a Whisker-Based Object Localization Task with a Time Response Window

2014 ◽  
Vol 34 (5) ◽  
pp. 1949-1962 ◽  
Author(s):  
N. Rahmati ◽  
C. B. Owens ◽  
L. W. J. Bosman ◽  
J. K. Spanke ◽  
S. Lindeman ◽  
...  
Keyword(s):  
Time Response ◽  
Object Localization ◽  
Localization Task ◽  
Response Window

scholarly journals Beyond cones: an improved model of whisker bending based on measured mechanics and tapering

2016 ◽  
Vol 116 (2) ◽  
pp. 812-824 ◽  
Author(s):  
Samuel Andrew Hires ◽  
Adam Schuyler ◽  
Jonathan Sy ◽  
Vincent Huang ◽  
Isis Wyche ◽  
...  
Keyword(s):  
Neural Activity ◽  
Computational Models ◽  
Sensory Input ◽  
Activity Patterns ◽  
Object Localization ◽  
Homogeneous Cone ◽  
Key Drivers ◽  
Improved Model ◽  
Sense Of Touch ◽  
Object Interactions

The sense of touch is represented by neural activity patterns evoked by mechanosensory input forces. The rodent whisker system is exceptional for studying the neurophysiology of touch in part because these forces can be precisely computed from video of whisker deformation. We evaluate the accuracy of a standard model of whisker bending, which assumes quasi-static dynamics and a linearly tapered conical profile, using controlled whisker deflections. We find significant discrepancies between model and experiment: real whiskers bend more than predicted upon contact at locations in the middle of the whisker and less at distal locations. Thus whiskers behave as if their stiffness near the base and near the tip is larger than expected for a homogeneous cone. We assess whether contact direction, friction, inhomogeneous elasticity, whisker orientation, or nonconical shape could explain these deviations. We show that a thin-middle taper of mouse whisker shape accounts for the majority of this behavior. This taper is conserved across rows and columns of the whisker array. The taper has a large effect on the touch-evoked forces and the ease with which whiskers slip past objects, which are key drivers of neural activity in tactile object localization and identification. This holds for orientations with intrinsic whisker curvature pointed toward, away from, or down from objects, validating two-dimensional models of simple whisker-object interactions. The precision of computational models relating sensory input forces to neural activity patterns can be quantitatively enhanced by taking thin-middle taper into account with a simple corrective function that we provide.

Reduced Cognitive Control of a Visually Bistable Image in Schizophrenia

2011 ◽  
Vol 17 (3) ◽  
pp. 551-556 ◽  
Author(s):  
Ryan McBain ◽  
Daniel J. Norton ◽  
Jejoong Kim ◽  
Yue Chen
Keyword(s):  
Cognitive Control ◽  
Sensory Input ◽  
Necker Cube ◽  
Cognitive Remediation ◽  
Luminance Contrast ◽  
Contrast Condition ◽  
Cube Plane ◽  
Sensory Features ◽  
Visual Modulation

AbstractSchizophrenia is associated with the inability to control and coordinate thoughts, actions, and perceptions. In conventional assessments of cognitive control, multiple sensory features of stimuli are concomitantly manipulated, introducing a confounding role of bottom-up perceptual information. To overcome this difficulty, we used an ambiguous visual stimulus (Necker cube), which allowed measurement of cognitive control with constant sensory input. Subjects (20 patients, 20 controls) were asked to control their perception of a transparent Necker cube by keeping a designated plane at the front or back of the stimulus, the position of which is perceptually bistable. Patients were highly deficient at controlling their perception of the cube. When a visual feature (the luminance contrast between a designated cube plane and the other planes) was systematically manipulated, an interaction was found whereby schizophrenia patients no longer under-performed on the highest contrast condition. These results show patients’ impairment of controlling perception in the absence of visual modulation and suggest the potential utility of perceptually based approaches to cognitive remediation in schizophrenia. (JINS, 2011, 551–556)

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