| 1. |
- Abbott, Max, et al.
(författare)
-
Conceptual Framework of Harmful Gambling: An International Collaboration
- 2013
-
Rapport (övrigt vetenskapligt/konstnärligt)abstract
- While seen by many as a form of leisure and recreation, gambling can have serious repercussions for individuals, families, and society as a whole. The harmful effects of gambling have been studied for decades to attempt to understand individual differences in gambling engagement and the life- course of gamblingrelated problems. In this publication, we present a comprehensive, internationally relevant conceptual framework of “harmful gambling” that moves beyond a symptoms-based view of harm and addresses a broad set of factors related to population risk, community and societal effects. Interactive factors represented in the framework represent major themes in gambling that range from specific (gambling environment, exposure, types, and resources) to general (cultural, social, psychological, and biological). This framework has been created by international and interdisciplinary experts from a variety of stakeholder perspectives - including researchers, treatment providers, operators, policy makers, and individuals and their families - to facilitate an understanding of harmful gambling. It not only reflects the state of knowledge as it relates to factors influencing harmful gambling, but also acts to guide the development of future research programs and educate policy makers on issues related to harmful gambling. The Ontario Problem Gambling Research Centre (Guelph, Ontario, Canada) has facilitated the development of the Conceptual Framework of Harmful Gambling and is committed to updating it over time.
|
|
| 2. |
|
|
| 3. |
- Djurfeldt, Mikael, 1967-, et al.
(författare)
-
1st INCF Workshop on Large-scale Modeling of the Nervous System
- 2007
-
Ingår i: Nature Precedings. - : Nature Publishing Group. - 1756-0357.
-
Rapport (övrigt vetenskapligt/konstnärligt)abstract
- The goal of this workshop was to survey current demands, ongoing activities, and plans relating to development of tools for scalable neural network simulation. Areas covered included software components for preprocessing/model setup, as well as for storage, analysis, and visualization of results. Participants discussed the need for coordinated action in the field with regard to model, method and tool development. The reports a description of the state-of-art in the field as well as recommendations for actions to facilitate infrastructure developments.
|
|
| 4. |
|
|
| 5. |
- Jonsson, Kenneth, et al.
(författare)
-
Traffic compensated luminance estimation
- 2015
-
Rapport (övrigt vetenskapligt/konstnärligt)abstract
- Active control of street light sources based on sensor data is desired to meet requirements on traffic safety and environmental protection. In this report, we summarise the results of a research study focusing on some of the fundamental problems occurring when performing real-world sensor measurements for lighting control. In particular, we present results on the impact of traffic and the relationship between sensor angle and measured road surface luminance. Moreover, we present a comparison between different approaches to estimating the veiling luminance in tunnel lighting applications.
|
|
| 6. |
|
|
| 7. |
- Lindeberg, Tony, Professor, 1964-
(författare)
-
Covariance properties under natural image transformations for the generalized Gaussian derivative model for visual receptive fields
- 2023
-
Ingår i: Frontiers in Computational Neuroscience. - : Frontiers Media SA. - 1662-5188. ; 17, s. 1189949-1-1189949-23
-
Rapport (övrigt vetenskapligt/konstnärligt)abstract
- The property of covariance, also referred to as equivariance, means that an image operator is well-behaved under image transformations, in the sense that the result of applying the image operator to a transformed input image gives essentially a similar result as applying the same image transformation to the output of applying the image operator to the original image. This paper presents a theory of geometric covariance properties in vision, developed for a generalized Gaussian derivative model of receptive fields in the primary visual cortex and the lateral geniculate nucleus, which, in turn, enable geometric invariance properties at higher levels in the visual hierarchy.It is shown how the studied generalized Gaussian derivative model for visual receptive fields obeys true covariance properties under spatial scaling transformations, spatial affine transformations, Galilean transformations and temporal scaling transformations. These covariance properties imply that a vision system, based on image and video measurements in terms of the receptive fields according to the generalized Gaussian derivative model, can, to first order of approximation, handle the image and video deformations between multiple views of objects delimited by smooth surfaces, as well as between multiple views of spatio-temporal events, under varying relative motions between the objects and events in the world and the observer.We conclude by describing implications of the presented theory for biological vision, regarding connections between the variabilities of the shapes of biological visual receptive fields and the variabilities of spatial and spatio-temporal image structures under natural image transformations. Specifically, we formulate experimentally testable biological hypotheses as well as needs for measuring population statistics of receptive field characteristics, originating from predictions from the presented theory, concerning the extent to which the shapes of the biological receptive fields in the primary visual cortex span the variabilities of spatial and spatio-temporal image structures induced by natural image transformations, based on geometric covariance properties.
|
|
| 8. |
- Lindeberg, Tony, 1964-, et al.
(författare)
-
Foveal scale-space and the linear increase of receptive field size as a function of eccentricity
- 1994
-
Rapport (övrigt vetenskapligt/konstnärligt)abstract
- This paper addresses the formulation of a foveal scale-space and its relation to the scaling property of receptive field sizes with eccentricity. It is shown how the notion of a fovea can be incorporated into conventional scale-space theory leading to a foveal log-polar scale-space. Natural assumptions about uniform treatment of structures over scales and finite processing capacity imply a linear increase of minimum receptive field size as a function of eccentricity. These assumptions are similar to the ones used for deriving linear scale-space theory and the Gaussian receptive field model for an idealized visual front-end.
|
|
| 9. |
- Lindeberg, Tony, 1964-
(författare)
-
Normative theory of visual receptive fields
- 2017
-
Rapport (övrigt vetenskapligt/konstnärligt)abstract
- This article gives an overview of a normative computational theory of visual receptive fields, by which idealized shapes of early spatial, spatio-chromatic and spatio-temporal receptive fields can be derived in an axiomatic way based on structural properties of the environment in combination with assumptions about the internal structure of a vision system to guarantee consistent handling of image representations over multiple spatial and temporal scales. Interestingly, this theory leads to predictions about visual receptive field shapes with qualitatively very good similarity to biological receptive fields measured in the retina, the LGN and the primary visual cortex (V1) of mammals.
|
|
| 10. |
|
|
