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Social and Behavioral Sciences Commons™
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- Lightness (7)
- Vision (3)
- Attention (2)
- Biased competition (2)
- Contrast gain control (2)
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- Edge integration (2)
- Fixational eye movements (2)
- Perception (2)
- Pyramidal cell (2)
- Visual attention (2)
- Visual cortex (2)
- Visual search (2)
- Achromatic color (1)
- Acoustic indices (1)
- Active vision (1)
- Adaptation (1)
- Aftereffects (1)
- Agriculture (1)
- Agronomy (1)
- Aperture problem (1)
- Artificial Neural Network (1)
- Assimilation (1)
- Auditory Nerve (1)
- Bayesian estimation (1)
- Bayesian model (1)
- Bi-stable perception (1)
- Binding (1)
- Binocular vision (1)
- Brightness perception scaling conjoint measurement transfer function (1)
- Chi-squared (1)
Articles 1 - 30 of 50
Full-Text Articles in Social and Behavioral Sciences
Evaluating The Environmental Impacts Of U.S. Historical Oil Spill Incidents, Yiming Liu, Hua Cai
Evaluating The Environmental Impacts Of U.S. Historical Oil Spill Incidents, Yiming Liu, Hua Cai
Graduate Industrial Research Symposium
Exposure to risks associated with the production and usage of products, particularly oil, poses significant threats to both ecological systems and human health. Notable examples include the Gulf War Oil Spill (1991) and the Deepwater Horizon Oil Spill (2010). However, numerous smaller-scale oil spills, which collectively contribute to substantial oil releases, often remain overlooked. To fill this gap, our study first developed a detailed oil spill incidents database, covering 1967 to 2023. We quantified the released amount (RA) of oil spills recorded by the National Oceanic and Atmospheric Administration (NOAA). Subsequently, we utilized life cycle impact indicators in ReCiPe to …
Implementing Integrated Stem Forensic And Soil Sciences Lab Activities To Promote Interest In Stem Careers, Mariah K. Stollar Awan, Caroline J. Rakowski
Implementing Integrated Stem Forensic And Soil Sciences Lab Activities To Promote Interest In Stem Careers, Mariah K. Stollar Awan, Caroline J. Rakowski
Indiana STEM Education Conference
We implemented forensic and soil science integrated STEM lab activities with 11 middle school youth at a 4-H day camp at Purdue University. STEM perceived knowledge increased overall for participants. However, the pre- and post-assessments did not show a statistically significant difference. More students also indicated STEM career interest after participating. Because this study was exploratory and had a small sample size, more research on these integrated STEM lab activities should be conducted with larger samples.
Different Stages Of Urbanization Lead To Cropland Loss: Geospatial Data Analysis In A Global Rural-Urban Continuum Perspective, Xiyu Li, Le Yu
Different Stages Of Urbanization Lead To Cropland Loss: Geospatial Data Analysis In A Global Rural-Urban Continuum Perspective, Xiyu Li, Le Yu
I-GUIDE Forum
Rapid urbanization has resulted in widespread loss of cropland, but the spatial-temporal patterns and key stages of this transformation have not been clearly understood. In this study, we mapped cropland loss caused by urban expansion in rural-urban continuum since 2000 based on multiple global land maps. Results show a total 3.35 × 106 ha cropland loss resulting from urban expansion and about 70 % of this land use change occurred in Asia. However, there is a trend of reducing cropland loss area caused by urbanization over the years. In a detailed view of urbanization stages, most cropland losses occurred …
I-Guide Climbers: A Model For Multidisciplinary Academic Labs For Early Career Development, Iman Haqiqi, Wei Hu, Ramya Kumaran, Pin-Ching Li, Nicholas Manning, Alex Michels, Ayman Nassar, Jinwoo Park, Jimeng Shi, Adam Tonks, Zhaonan Wang
I-Guide Climbers: A Model For Multidisciplinary Academic Labs For Early Career Development, Iman Haqiqi, Wei Hu, Ramya Kumaran, Pin-Ching Li, Nicholas Manning, Alex Michels, Ayman Nassar, Jinwoo Park, Jimeng Shi, Adam Tonks, Zhaonan Wang
I-GUIDE Forum
In this paper, we propose a new form of multidisciplinary academic collaboration that goes beyond the traditional modes of knowledge exchange. We argue that most research collaboration today is based on interactions between closely related disciplines, in which researchers share data, methods, and insights within a common framework or problem. However, such collaboration may not foster the development of the communication and management skills essential to a multi-disciplinary research career. Therefore, we suggest establishing a network of researchers from divergent, yet complementary, disciplines who are interested in improving these skills through regular interactions and feedback. The main goal of this …
Measuring The Emotional Impact Of Climate Change Images On Tourists: A Neuromarketing Study., Carmen Kraaijkamp, Patricia Picazo Peral, Sergio Moreno Gil
Measuring The Emotional Impact Of Climate Change Images On Tourists: A Neuromarketing Study., Carmen Kraaijkamp, Patricia Picazo Peral, Sergio Moreno Gil
ITSA 2022 Gran Canaria - 9th Biennial Conference: Corporate Entrepreneurship and Global Tourism Strategies After Covid 19
No abstract provided.
Shark-Diving Tourism In The Macaronesian Archipelagos: Challenges And Opportunities, Pedro Gonzáles Mantilla
Shark-Diving Tourism In The Macaronesian Archipelagos: Challenges And Opportunities, Pedro Gonzáles Mantilla
ITSA 2022 Gran Canaria - 9th Biennial Conference: Corporate Entrepreneurship and Global Tourism Strategies After Covid 19
The Macaronesian region is typically heavily exploited by fisheries; however, in recent years, marine wildlife tourism has become popular and a shark-diving industry has emerged, potentially presenting an alternative for the sustainable use of sharks. Combining a literature review with interviews with dive operators conducting shark encounters in the Macaronesian archipelagos, we provide an overview of the challenges and conservation potential of shark-diving tourism for these territories. Owing to the regular presence of important shark species for tourism and the growth of the scuba-diving industry, shark-diving has potential to expand over the region. Yet, the overlap between European industrial fishing …
Extracting Edges In Space And Time During Visual Fixations, Lynn Schmittwilken, Marianne Maertens
Extracting Edges In Space And Time During Visual Fixations, Lynn Schmittwilken, Marianne Maertens
MODVIS Workshop
No abstract provided.
Constraining The Binding Problem Using Maps, Zhixian Han, Anne Sereno
Constraining The Binding Problem Using Maps, Zhixian Han, Anne Sereno
MODVIS Workshop
We constrained the binding problem by creating maps of different attributes. We compared the performance of different models with different maps in our current study. Our preliminary results showed that the performance of the model is the highest when location maps were used. These results suggest that the optimal way to constrain the binding problem is to create location maps of different attributes.
A Dynamical Model Of Binding In Visual Cortex During Incremental Grouping And Search, Daniel Schmid, Daniel A. Braun, Heiko Neumann
A Dynamical Model Of Binding In Visual Cortex During Incremental Grouping And Search, Daniel Schmid, Daniel A. Braun, Heiko Neumann
MODVIS Workshop
Binding of visual information is crucial for several perceptual tasks. To incrementally group an object, elements in a space-feature neighborhood need to be bound together starting from an attended location (Roelfsema, TICS, 2005). To perform visual search, candidate locations and cued features must be evaluated conjunctively to retrieve a target (Treisman&Gormican, Psychol Rev, 1988). Despite different requirements on binding, both tasks are solved by the same neural substrate. In a model of perceptual decision-making, we give a mechanistic explanation for how this can be achieved. The architecture consists of a visual cortex module and a higher-order thalamic module. While the …
Validity Of Neural Distance Measures In Representational Similarity Analysis, Fabian A. Soto, Emily R. Martin, Hyeonjeong Lee, Nafiz Ahmed, Juan Estepa, Kianoosh Hosseini, Olivia A. Stibolt, Valentina Roldan, Alycia Winters, Mohammadreza Bayat
Validity Of Neural Distance Measures In Representational Similarity Analysis, Fabian A. Soto, Emily R. Martin, Hyeonjeong Lee, Nafiz Ahmed, Juan Estepa, Kianoosh Hosseini, Olivia A. Stibolt, Valentina Roldan, Alycia Winters, Mohammadreza Bayat
MODVIS Workshop
No abstract provided.
Visual Expertise In An Anatomically-Inspired Model Of The Visual System, Garrison W. Cottrell, Martha Gahl, Shubham Kulkarni
Visual Expertise In An Anatomically-Inspired Model Of The Visual System, Garrison W. Cottrell, Martha Gahl, Shubham Kulkarni
MODVIS Workshop
We report on preliminary results of an anatomically-inspired deep learning model of the visual system and its role in explaining the face inversion effect. Contrary to the generally accepted wisdom, our hypothesis is that the face inversion effect can be accounted for by the representation in V1 combined with the reliance on the configuration of features due to face expertise. We take two features of the primate visual system into account: 1) The foveated retina; and 2) The log-polar mapping from retina to V1. We simulate acquisition of faces, etc., by gradually increasing the number of identities the network learns. …
Fixational Eye Movements, Perceptual Filling-In, And Perceptual Fading Of Grayscale Images, Michael E. Rudd
Fixational Eye Movements, Perceptual Filling-In, And Perceptual Fading Of Grayscale Images, Michael E. Rudd
MODVIS Workshop
No abstract provided.
Constraining Computational Models Of Brightness Perception: What’S The Right Psychophysical Data?, Guillermo Aguilar, Joris Vincent, Marianne Maertens
Constraining Computational Models Of Brightness Perception: What’S The Right Psychophysical Data?, Guillermo Aguilar, Joris Vincent, Marianne Maertens
MODVIS Workshop
No abstract provided.
Identifying And Localizing Multiple Objects Using Artificial Ventral And Dorsal Visual Cortical Pathways, Zhixian Han, Anne Sereno
Identifying And Localizing Multiple Objects Using Artificial Ventral And Dorsal Visual Cortical Pathways, Zhixian Han, Anne Sereno
MODVIS Workshop
We concluded in our previous study that model cortical visual pathways actively retained information differently according to the different goals of the training tasks. One limitation of our study was that there was only one object in each input image whereas in reality there may be multiple objects in a scene. In our current study, we try to find a brain-like algorithm that can recognize and localize multiple objects.
Effects Of Removing Background Soil Reflectance Pixels From Vegetative Index Maps For Characterization Of Corn Responses To Experimental Treatments, Ana Morales, Robert L. Nielsen, James J. Camberato
Effects Of Removing Background Soil Reflectance Pixels From Vegetative Index Maps For Characterization Of Corn Responses To Experimental Treatments, Ana Morales, Robert L. Nielsen, James J. Camberato
Purdue GIS Day
In contrast to traditional data collection methods that require manual sampling, vegetative index (VI) maps derived from unmanned aerial vehicles (UAV) imagery are a potential tool to characterize temporal and spatial treatment effects in a more efficient and non-destructive way. Remotely-sensed reflectance data from a growing corn crop contains pixel values associated with the above-ground plant tissue (e.g., leaves, stalks, tassels) and the underlying soil features. Background soil reflectance data potentially reduces the effectiveness of VI for characterizing crop responses to experimental treatments. Removing background soil image pixels from the larger image dataset should improve that effectiveness. The objective of …
Quantifying Four Decades Of Arid-Region Agricultural Development In Arequipa, Peru Using Landsat, Zachary S. Brecheisen, Nicholas Hamp-Adams, Edwin Bocardo Delgado, Martin Villalta Soto, Timothy Filley, Darrell G. Schulze
Quantifying Four Decades Of Arid-Region Agricultural Development In Arequipa, Peru Using Landsat, Zachary S. Brecheisen, Nicholas Hamp-Adams, Edwin Bocardo Delgado, Martin Villalta Soto, Timothy Filley, Darrell G. Schulze
Purdue GIS Day
The Arequipa Nexus Institute for Food, Energy and the Environment (Nexus Institute) is located in Southwestern Peru, generally bounded by the city of Arequipa to the east, the Majes River to the west, the Pacific Ocean to the south, and the Andes mountains to the north. Though agriculture has been practiced in parts of this cool desert region (MAT~15°C, MAP
Photogrammetric Measurement Of Hardwood Species At A Stand Level Using Rgb Images From Unmanned Aerial Vehicle (Uav), Aishwarya Chandrasekaran
Photogrammetric Measurement Of Hardwood Species At A Stand Level Using Rgb Images From Unmanned Aerial Vehicle (Uav), Aishwarya Chandrasekaran
Purdue GIS Day
Nowadays, for many remote sensing applications, drones are employed for gathering data, as it provides low cost image acquisition with minimal human intervention. Drone remote sensing has an extensive use in forestry for maintaining inventories, mapping canopy structure and monitoring forest fires. Maintaining a Forest inventory database is a crucial task as it is the only means of keeping a record of the trees. This study aims to explore UAV based image acquisition (consumer-grade sensor) and analysis for forest studies using structure from motion technique.The main objective is to derive a methodology for computing tree parameters such as tree height, …
Is The Selective Tuning Model Of Visual Attention Still Relevant?, John K. Tsotsos
Is The Selective Tuning Model Of Visual Attention Still Relevant?, John K. Tsotsos
MODVIS Workshop
No abstract provided.
Differentiating Changes In Population Encoding Models With Psychophysics And Neuroimaging, Jason Hays, Fabian Soto Phd
Differentiating Changes In Population Encoding Models With Psychophysics And Neuroimaging, Jason Hays, Fabian Soto Phd
MODVIS Workshop
It is now common among visual scientists to make inferences about neural population coding of stimuli from indirect measures such as those provided by neuroimaging and psychophysics. The success of such studies depends strongly on simulation work using standard population encoding models extended with decoders (in psychophysics) and measurement models (in neuroimaging). However, not all studies are accompanied by simulation work, and those that are tend to vary widely in their assumptions about encoding, decoding, and measurement. To solve these issues, we designed a Python package (PEMGUIN) to assist computational modelling by providing simple ways to manage encoders' tuning functions, …
Explaining The Lightness Of Real Illuminated Surfaces Viewed Under Gelb Illumination With A Neurocomputational Model, Michael E. Rudd
Explaining The Lightness Of Real Illuminated Surfaces Viewed Under Gelb Illumination With A Neurocomputational Model, Michael E. Rudd
MODVIS Workshop
No abstract provided.
The Challenge For Vision Of Fluctuating Real-World Illumination, David H. Foster
The Challenge For Vision Of Fluctuating Real-World Illumination, David H. Foster
MODVIS Workshop
No abstract provided.
Community-Scale Water Treatment Systems In The Dominican Republic, Jonathan Racey, Annabelle Papai, Elise Fischer, Becca Johnson
Community-Scale Water Treatment Systems In The Dominican Republic, Jonathan Racey, Annabelle Papai, Elise Fischer, Becca Johnson
Engagement & Service-Learning Summit
Engagement and Service-Learning Summit: Reciprocal and Sustainable Partnerships
Linking Signal Detection Theory And Encoding Models To Reveal Independent Neural Representations From Neuroimaging Data, Fabian A. Soto
Linking Signal Detection Theory And Encoding Models To Reveal Independent Neural Representations From Neuroimaging Data, Fabian A. Soto
MODVIS Workshop
No abstract provided.
Texture Statistics Are Sufficient For Ensemble Perception, Sasen S. Cain, Matthew S. Cain
Texture Statistics Are Sufficient For Ensemble Perception, Sasen S. Cain, Matthew S. Cain
MODVIS Workshop
No abstract provided.
Michelson Contrast For Transparency Perception In Scenes With Multiple Luminances, Minjung Kim, Guillermo Aguilar, Marianne Maertens
Michelson Contrast For Transparency Perception In Scenes With Multiple Luminances, Minjung Kim, Guillermo Aguilar, Marianne Maertens
MODVIS Workshop
No abstract provided.
Modeling Neural Computations In Lgn And Visual Cortex That Underlie Contextual Modulation Of Lightness And Darkness Magnitudes In Simple And Complex Images, Michael E. Rudd
MODVIS Workshop
No abstract provided.
A Feature-Based Model Of Visually Perceiving Deformable Objects, Vivian C. Paulun, Filipp Schmidt, Roland W. Fleming
A Feature-Based Model Of Visually Perceiving Deformable Objects, Vivian C. Paulun, Filipp Schmidt, Roland W. Fleming
MODVIS Workshop
No abstract provided.
Global Estimation Of Signed 3d Surface Tilt From Natural Images, Seha Kim, Johannes Burge
Global Estimation Of Signed 3d Surface Tilt From Natural Images, Seha Kim, Johannes Burge
MODVIS Workshop
The ability of human visual systems to estimate 3D surface orientation from 2D retinal images is critical. But the computation to calculate 3D orientation in real-world scenes is not fully understood. A Bayes optimal model grounded in natural statistics has explained 3D surface tilt estimation of human observers in natural scenes (Kim and Burge, 2018). However, the model is limited because it estimates only unsigned tilt (tilt modulo 180deg). We extend the model to predict signed tilt estimates and compared with human signed estimates. The model takes image pixels as input and produces optimal estimates of tilt as output, using …
Inferring The Neural Representation Of Faces From Adaptation Aftereffects, Kara J. Emery, Michael A. Webster Ph.D.
Inferring The Neural Representation Of Faces From Adaptation Aftereffects, Kara J. Emery, Michael A. Webster Ph.D.
MODVIS Workshop
The aftereffects of adaptation to faces have been studied widely, in part to characterize the coding schemes for representing different facial attributes. Often these aftereffects have been interpreted in terms of two alternative models of face processing: 1) a norm-based or opponent code, in which the facial dimension is represented by relative activity in a pair of broadly-tuned mechanisms with opposing sensitivities; or 2) an exemplar code, in which the dimension is sampled by multiple channels narrowly-tuned to different levels of the stimulus. Evidence for or against these alternatives is based on the different patterns of aftereffects they predict (e.g. …
Effect Of Noise On Mutually Inhibiting Pyramidal Cells In Visual Cortex: Foundation Of Stochasticity In Bi-Stable Perception, Naoki Kogo, Felix Kern, Thomas Nowotny, Raymond Van Ee, Richard Van Wezel, Takeshi Aihara
Effect Of Noise On Mutually Inhibiting Pyramidal Cells In Visual Cortex: Foundation Of Stochasticity In Bi-Stable Perception, Naoki Kogo, Felix Kern, Thomas Nowotny, Raymond Van Ee, Richard Van Wezel, Takeshi Aihara
MODVIS Workshop
Bi-stable perception has been an important tool to investigate how visual input is interpreted and how it reaches consciousness. To explain the mechanisms of this phenomenon, it has been assumed that a mutual inhibition circuit plays a key role. It is possible that this circuit functions to resolve ambiguity of input image by quickly shifting the balance of competing signals in response to conflicting features. Recently we established an in vitro neural recording system combined with computerized connections mediated by model neurons and synapses (“dynamic clamp” system). With this system, mutual inhibition circuit between two pyramidal cells from primary visual …