scholarly journals Divisive normalization unifies disparate response signatures throughout the human visual hierarchy

2021 ◽  
Vol 118 (46) ◽  
pp. e2108713118
Author(s):  
Marco Aqil ◽  
Tomas Knapen ◽  
Serge O. Dumoulin
Keyword(s):  
Information Integration ◽  
Model Parameters ◽  
Response Modulation ◽  
Information Encoding ◽  
Neuronal Populations ◽  
Visual Hierarchy ◽  
Divisive Normalization ◽  
Neural Computations ◽  
Visuospatial Information

Neural processing is hypothesized to apply the same mathematical operations in a variety of contexts, implementing so-called canonical neural computations. Divisive normalization (DN) is considered a prime candidate for a canonical computation. Here, we propose a population receptive field (pRF) model based on DN and evaluate it using ultra-high-field functional MRI (fMRI). The DN model parsimoniously captures seemingly disparate response signatures with a single computation, superseding existing pRF models in both performance and biological plausibility. We observe systematic variations in specific DN model parameters across the visual hierarchy and show how they relate to differences in response modulation and visuospatial information integration. The DN model delivers a unifying framework for visuospatial responses throughout the human visual hierarchy and provides insights into its underlying information-encoding computations. These findings extend the role of DN as a canonical computation to neuronal populations throughout the human visual hierarchy.

scholarly journals Loss of Calretinin in L5a impairs the formation of the barrel cortex leading to abnormal whisker-mediated behaviors

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Mingzhao Su ◽  
Junhua Liu ◽  
Baocong Yu ◽  
Kaixing Zhou ◽  
Congli Sun ◽  
...  
Keyword(s):  
Information Integration ◽  
Pyramidal Neurons ◽  
Barrel Cortex ◽  
Sensory Information ◽  
Membrane Excitability ◽  
Novelty Preference ◽  
Layer 4 ◽  
Dendritic Complexity ◽  
Cortex System

AbstractThe rodent whisker-barrel cortex system has been established as an ideal model for studying sensory information integration. The barrel cortex consists of barrel and septa columns that receive information input from the lemniscal and paralemniscal pathways, respectively. Layer 5a is involved in both barrel and septa circuits and play a key role in information integration. However, the role of layer 5a in the development of the barrel cortex remains unclear. Previously, we found that calretinin is dynamically expressed in layer 5a. In this study, we analyzed calretinin KO mice and found that the dendritic complexity and length of layer 5a pyramidal neurons were significantly decreased after calretinin ablation. The membrane excitability and excitatory synaptic transmission of layer 5a neurons were increased. Consequently, the organization of the barrels was impaired. Moreover, layer 4 spiny stellate cells were not able to properly gather, leading to abnormal formation of barrel walls as the ratio of barrel/septum size obviously decreased. Calretinin KO mice exhibited deficits in exploratory and whisker-associated tactile behaviors as well as social novelty preference. Our study expands our knowledge of layer 5a pyramidal neurons in the formation of barrel walls and deepens the understanding of the development of the whisker-barrel cortex system.

Changes in gamma-aminobutyric acid and somatostatin in epileptic cortex associated with low-grade gliomas

1992 ◽  
Vol 77 (2) ◽  
pp. 209-216 ◽  
Author(s):  
Michael M. Haglund ◽  
Mitchel S. Berger ◽  
Dennis D. Kunkel ◽  
JoAnn E. Franck ◽  
Saadi Ghatan ◽  
...  
Keyword(s):  
Epileptiform Activity ◽  
Aminobutyric Acid ◽  
Low Grade ◽  
Tumor Infiltration ◽  
Gamma Aminobutyric Acid ◽  
Content Type ◽  
Low Grade Gliomas ◽  
Neuronal Populations ◽  
Significant Difference

✓ The role of specific neuronal populations in epileptic foci was studied by comparing epileptic and nonepileptic cortex removed from patients with low-grade gliomas. Epileptic and nearby (within 1 to 2 cm) nonepileptic temporal lobe neocortex was identified using electrocorticography. Cortical specimens taken from four patients identified as epileptic and nonepileptic were all void of tumor infiltration. Somatostatin- and γ-aminobutyric acid (GABAergic)-immunoreactive neurons were identified and counted. Although there was no significant difference in the overall cell count, the authors found a significant decrease in both somatostatin- and GABAergic-immunoreactive neurons (74% and 51 %, respectively) in the epileptic cortex compared to that in nonepileptic cortex from the same patient. It is suggested that these findings demonstrate changes in neuronal subpopulations that may account for the onset and propagation of epileptiform activity in patients with low-grade gliomas.

scholarly journals Object manifold geometry across the mouse cortical visual hierarchy

2020 ◽  
Author(s):  
Emmanouil Froudarakis ◽  
Uri Cohen ◽  
Maria Diamantaki ◽  
Edgar Y. Walker ◽  
Jacob Reimer ◽  
...  
Keyword(s):  
Home Cage ◽  
Object Representations ◽  
Object Identity ◽  
Population Code ◽  
Neuronal Populations ◽  
Linear Separability ◽  
Visual Hierarchy ◽  
Visual Areas ◽  
Invariant Object Recognition ◽  
Object Coding

AbstractDespite variations in appearance we robustly recognize objects. Neuronal populations responding to objects presented under varying conditions form object manifolds and hierarchically organized visual areas are thought to untangle pixel intensities into linearly decodable object representations. However, the associated changes in the geometry of object manifolds along the cortex remain unknown. Using home cage training we showed that mice are capable of invariant object recognition. We simultaneously recorded the responses of thousands of neurons to measure the information about object identity available across the visual cortex and found that lateral visual areas LM, LI and AL carry more linearly decodable object identity information compared to other visual areas. We applied the theory of linear separability of manifolds, and found that the increase in classification capacity is associated with a decrease in the dimension and radius of the object manifold, identifying features of the population code that enable invariant object coding.

scholarly journals The role of balanced supplementation in diet of age-related macular degeneration patients

2021 ◽  
Vol 8 (1) ◽  
pp. 19-25
Author(s):  
Iwona Kusz vel Sobczuk ◽  
Anna Święch
Keyword(s):  
Vitamin D ◽  
Immune Response ◽  
Macular Degeneration ◽  
Vitamin B6 ◽  
Age Related Macular Degeneration ◽  
Response Modulation ◽  
Omega 3 ◽  
Age Related ◽  
Immune Response Modulation

Aim: The aim of the article was to discuss the role of balanced supplementation in diet of age-related macular degeneration patients. Methods: This review was carried out using comprehensive and systematic literature reports on the role of supplementation of vitamin D, vitamin C, vitamin E, vitamin B6, vitamin B12, zinc, lutein, zeaxanthin, omega-3 acid and folic acid in the prevention of AMD. Results: Vitamins, minerals and carotenoids are essential for the proper retinal function over an inflammation and immune response modulation. Conclusions: Vitamins, minerals and carotenoids discussed in the article have anti-inflammatory and antioxidative properties in the management of AMD progression. Accordingly, it is relevant to assure the appropriate level of these nutrients in a diet of AMD patients.

scholarly journals Loss of Calretinin in L5a Impairs the Formation of the Barrel Cortex Leading to Abnormal Behaviors

2021 ◽  
Author(s):  
Mingzhao Su ◽  
Junhua Liu ◽  
Baocong Yu ◽  
Kaixing Zhou ◽  
Congli Sun ◽  
...  
Keyword(s):  
Information Integration ◽  
Pyramidal Neurons ◽  
Barrel Cortex ◽  
Sensory Information ◽  
Membrane Excitability ◽  
Novelty Preference ◽  
Abnormal Behaviors ◽  
Dendritic Complexity ◽  
Cortex System

Abstract The rodent whisker-barrel cortex system has been established as an ideal model for studying sensory information integration. The barrel cortex consists of barrel and septa columns that receive information input from the lemniscal and paralemniscal pathways, respectively. L5a is involved in both barrel and septa circuits and play a key role in information integration. However, the role of L5a in the development of the barrel cortex remains unclear. Previously, we found that Calretinin is dynamically expressed in L5a. In this study, we analyzed Cr KO mice and found that the dendritic complexity and length of L5a pyramidal neurons were significantly decreased after Cr ablation. The membrane excitability and excitatory synaptic transmission of L5a neurons were increased. Consequently, the organization of the barrels was impaired. Moreover, L4 spiny stellate cells were not able to properly gather, leading to abnormal formation of barrel walls as the ratio of barrel/septum size obviously decreased. Cr KO mice exhibited deficits in exploratory and whisker-associated tactile behaviors as well as social novelty preference. Our study expands our knowledge of L5a pyramidal neurons in the formation of barrel walls and deepens the understanding of the development of the whisker-barrel cortex system.

scholarly journals Software Engineering and New Emerging Technologies

Economics ◽  
2015 ◽  
pp. 1541-1563
Author(s):  
Sergio Ricardo Mazini
Keyword(s):  
Software Engineering ◽  
Information Integration ◽  
Research Method ◽  
Emerging Technologies ◽  
Sales Force ◽  
Mobile Technologies ◽  
Sales Force Automation ◽  
Industrial Companies

This chapter presents an approach to the role of software engineering in developing solutions for new mobile technologies, like tablets. It discusses the importance of the new standards brought by emerging technologies such as engineering and how software must adapt to this new reality in order to identify the needs of data, information, integration, shares, and other issues that will contribute to the life cycle of these solutions. The chapter also discusses the contribution of users in the development process and improve these solutions. The research method is the case study conducted in industrial companies that use a digital catalog solution and sales force automation for tablets. This chapter presents a new approach based on commercial tablets which is supported by a platform of software and services called commercially Nimiam (www.nimiam.com.br).

scholarly journals The importance of vegetation to understand terrestrial water storage variations

2021 ◽  
Author(s):  
Tina Trautmann ◽  
Sujan Koirala ◽  
Nuno Carvalhais ◽  
Andreas Güntner ◽  
Martin Jung
Keyword(s):  
Soil Moisture ◽  
Large Scale ◽  
Water Storage ◽  
Model Parameters ◽  
Intermediate Water ◽  
Model Structure ◽  
Hydrological Models ◽  
Terrestrial Water Storage ◽  
Terrestrial Water

Abstract. So far, various studies aimed at decomposing the integrated terrestrial water storage variations observed by satellite gravimetry (GRACE, GRACE-FO) with the help of large-scale hydrological models. While the results of the storage decomposition depend on model structure, little attention has been given to the impact of the way how vegetation is represented in these models. Although vegetation structure and activity represent the crucial link between water, carbon and energy cycles, their representation in large-scale hydrological models remains a major source of uncertainty. At the same time, the increasing availability and quality of Earth observation-based vegetation data provide valuable information with good prospects for improving model simulations and gaining better insights into the role of vegetation within the global water cycle. In this study, we use observation-based vegetation information such as vegetation indices and rooting depths for spatializing the parameters of a simple global hydrological model to define infiltration, root water uptake and transpiration processes. The parameters are further constrained by considering observations of terrestrial water storage anomalies (TWS), soil moisture, evapotranspiration (ET) and gridded runoff (Q) estimates in a multi-criteria calibration approach. We assess the implications of including vegetation on the simulation results, with a particular focus on the partitioning between water storage components. To isolate the effect of vegetation, we compare a model experiment with vegetation parameters varying in space and time to a baseline experiment in which all parameters are calibrated as static, globally uniform values. Both experiments show good overall performance, but including vegetation data led to even better performance and more physically plausible parameter values. Largest improvements regarding TWS and ET were seen in supply-limited (semi-arid) regions and in the tropics, whereas Q simulations improve mainly in northern latitudes. While the total fluxes and storages are similar, accounting for vegetation substantially changes the contributions of snow and different soil water storage components to the TWS variations, with the dominance of an intermediate water pool that interacts with the fast plant accessible soil moisture and the delayed water storage. The findings indicate the important role of deeper moisture storages as well as groundwater-soil moisture-vegetation interactions as a key to understanding TWS variations. We highlight the need for further observations to identify the adequate model structure rather than only model parameters for a reasonable representation and interpretation of vegetation-water interactions.

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