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Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization

Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan Kankanhalli, Gunn Marit Traaen, Britt Overland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn
2021 The Journal of Artificial Intelligence Research  
We explore the feasibility of learning implicitly from visually unrealistic, task-relevant stimuli, which are synthesized by exciting the neurons of a trained deep neural network.  ...  This work investigates a simple yet unconventional approach for anonymized data synthesis to enable third parties to benefit from such anonymized data.  ...  We want to thank the anonymous reviewers for their valuable feedback that helped us to substantially improve this manuscript.  ... 
doi:10.1613/jair.1.13252 fatcat:fqyjuei6r5bhdgmspyzg6fp4fe

Learning Realistic Patterns from Unrealistic Stimuli: Generalization and Data Anonymization [article]

Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn
2021 arXiv   pre-print
We explore the feasibility of learning implicitly from unrealistic, task-relevant stimuli, which are synthesized by exciting the neurons of a trained deep neural network (DNN).  ...  This work investigates a simple yet unconventional approach for anonymized data synthesis to enable third parties to benefit from such private data.  ...  Learning Realistic Patterns from Visually Unrealistic Stimuli Learning Realistic Patterns from Visually  ... 
arXiv:2009.10007v2 fatcat:alaardflujbanbvjj4vg36t2fe

Technical and conceptual considerations for using animated stimuli in studies of animal behavior

Laura Chouinard-Thuly, Stefanie Gierszewski, Gil G. Rosenthal, Simon M. Reader, Guillaume Rieucau, Kevin L. Woo, Robert Gerlai, Cynthia Tedore, Spencer J. Ingley, John R. Stowers, Joachim G. Frommen, Francine L. Dolins (+1 others)
2016 Current Zoology  
Animated stimuli are powerful tools as they offer standardization, repeatability, and complete control over the stimulus presented, thereby "reducing" and "replacing" the animals used, and "refining" the  ...  In this review, we offer guidelines for common technical and conceptual considerations related to the use of animated stimuli in animal behavior research.  ...  Troje and 2 anonymous reviewers for valuable comments on the manuscript. Supplementary material Supplementary material can be found at  ... 
doi:10.1093/cz/zow104 pmid:29491958 pmcid:PMC5804155 fatcat:py6r7kquzzfofmnzjiiqk3iff4

Upper- and lower-limb amputees show reduced levels of eeriness for images of prosthetic hands

Gavin Buckingham, Johnny Parr, Greg Wood, Sarah Day, Alix Chadwell, John Head, Adam Galpin, Laurence Kenney, Peter Kyberd, Emma Gowen, Ellen Poliakoff
2019 Psychonomic Bulletin & Review  
Little is known, however, about this phenomenon from the viewpoint of prosthesis users.  ...  no concomitant reduction in how these stimuli were rated in terms of human-likeness.  ...  Author contributions The study was designed by GB, SD, and EP, using stimuli developed by EP, EG, and PK. Data collection was undertaken by SD, JP, GW, AC, JH, AG, and LK.  ... 
doi:10.3758/s13423-019-01612-x pmid:31183744 pmcid:PMC6710333 fatcat:ehidvdp55fcttln7ubuq7mkqu4

Forward optic flow is prioritised in visual awareness independently of walking direction

Paweł Motyka, Mert Akbal, Piotr Litwin
2021 PLoS ONE  
However, despite our ability to infer perceptual consequences from bodily movements, evidence that action can have an analogous influence on visual awareness is scarce and mainly limited to hand movements  ...  Participants walked forwards and backwards on a treadmill while viewing highly-realistic visualisations of self-motion in a virtual environment.  ...  Acknowledgments We thank Andrzej Nowak for helpful suggestions, and Julia Sudnik and Zuzanna Kozłowska for their assistance in data acquisition.  ... 
doi:10.1371/journal.pone.0250905 pmid:33945563 pmcid:PMC8096117 fatcat:n7r3snfxmjg7hgkenmb73ymkka

Expressive visual text-to-speech as an assistive technology for individuals with autism spectrum conditions

S.A. Cassidy, B. Stenger, L. Van Dongen, K. Yanagisawa, R. Anderson, V. Wan, S. Baron-Cohen, R. Cipolla
2016 Computer Vision and Image Understanding  
Both groups are significantly more accurate when inferring sad emotions from XpressiveTalk compared to the original actress, and rate these expressions as significantly more preferred and realistic.  ...  We then demonstrate that general population adults can correctly recognize the emotions portrayed by XpressiveTalk.  ...  Hence, in order to improve attention and emotion recognition in everyday life, interventions must use realistic and flexible stimuli.  ... 
doi:10.1016/j.cviu.2015.08.011 pmid:27375348 pmcid:PMC4913554 fatcat:7qwiduag5nbmbe3psfobeonb2a

Situational descriptions of behavioral procedures: the in situ testbed

S M Kemp, D A Eckerman
2001 Journal of The Experimental Analysis of Behavior  
The In Situ testbed appears to be a reliable and valid testing procedure for comparing models of learning.  ...  The testbed is tried with three published models of learning.  ...  We recommend building learning models and behavioral procedures into separate software modules and setting standards for data passed from the test procedure to the model (the stimuli) and data passed from  ... 
doi:10.1901/jeab.2001.75-135 pmid:11394484 pmcid:PMC1284812 fatcat:gmzlbkvuk5hxzknkbsmshogj7e

Neural Network Simulation of Infant Familiarization to Artificial Sentences: Rule-Like Behavior Without Explicit Rules and Variables

Thomas R. Shultz, Alan C. Bale
2001 Infancy  
The evidence, from these and other simulations, supports the view that unstructured neural networks can account for the existing infant data.  ...  familiar pattern, occasional familiarity preferences, more recovery to consistent novel sentences than to familiarized sentences, and extrapolative generalization outside the range of the training patterns  ...  This work has benefited from comments from David Buckingham, Jacques Katz, Yuriko Oshima-Takane, Sylvain Sirois, and Yoshio Takane, as well as from the Editor and anonymous reviewers.  ... 
doi:10.1207/s15327078in0204_07 pmid:33451192 fatcat:nciej4ujt5cnbp37z7pp6vshqm

Adding colour-realistic video images to audio playbacks increases stimulus engagement but does not enhance vocal learning in zebra finches

Judith M. Varkevisser, Ralph Simon, Ezequiel Mendoza, Martin How, Idse van Hijlkema, Rozanda Jin, Qiaoyi Liang, Constance Scharff, Wouter H. Halfwerk, Katharina Riebel
2021 Animal Cognition  
However, higher engagement with the realistic audio–visual stimuli was not predictive of better song learning.  ...  audio–visual stimuli did not lead to enhanced vocal learning.  ...  We would like to thank Jing Wei, Quanxiao Liu and Zhiyuan Ning for the visual comparison of the spectrograms.  ... 
doi:10.1007/s10071-021-01547-8 pmid:34405288 pmcid:PMC8940817 fatcat:hgeq7rhfwjh7pcl6focdhoba5u

The role of memory in guiding attention during natural vision

Ran Carmi, Laurent Itti
2006 Journal of Vision  
We propose novel hypotheses and experiments using hybrid natural-artificial stimuli to further elucidate neurocomputational mechanisms of attentional selection.  ...  We then asked participants to visually explore either continuous or MTV-style clips and recorded their saccades as objective behavioral indicators of attentional selections.  ...  Acknowledgments The work described in this article was funded by grants from NSF, HFSP, NIMA, and the Zumberge Research and Innovation fund.  ... 
doi:10.1167/6.9.4 pmid:17083283 fatcat:bsyjy4ybd5hjpguqlqt6cddnxu

Those Virtual People all Look the Same to me: Computer-Rendered Faces Elicit a Higher False Alarm Rate Than Real Human Faces in a Recognition Memory Task

Jari Kätsyri
2018 Frontiers in Psychology  
Real and virtual faces were matched for low-level visual features such as global luminosity and spatial frequency contents.  ...  Sixty-four participants took part in a recognition memory study in which they first learned a set of faces and were then asked to recognize them in a testing session.  ...  Alexandra Bagaïni for help in preparing the stimuli and running the experiments.  ... 
doi:10.3389/fpsyg.2018.01362 pmid:30123166 pmcid:PMC6086000 fatcat:zafwghpuzneh3gzuu6ltogg3i4

Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule

Michael Beyeler, Nikil D. Dutt, Jeffrey L. Krichmar
2013 Neural Networks  
The model consists of Izhikevich neurons and conductance-based synapses for realistic approximation of neuronal dynamics, a spike-timing-dependent plasticity (STDP) synaptic learning rule with additional  ...  Although many studies have focused on the design and optimization of neural networks to solve visual recognition tasks, most of them either lack neurobiologically plausible learning rules or decision-making  ...  Acknowledgments We thank four anonymous reviewers for their feedback, which has greatly improved the manuscript.  ... 
doi:10.1016/j.neunet.2013.07.012 pmid:23994510 fatcat:r4f3h5intbfu5aokvjqieo4rfq

Neural coding of formant-exaggerated speech in the infant brain

Yang Zhang, Tess Koerner, Sharon Miller, Zach Grice-Patil, Adam Svec, David Akbari, Liz Tusler, Edward Carney
2010 Developmental Science  
Collectively, these results provide the first evidence that formant expansion in infant-directed speech enhances neural activities for phonetic encoding and language learning.  ...  The first author would like to thank three anonymous reviewers for revision suggestions, Drs Matti Hämälainen, Iku Nemoto, and Masaki Kawakatsu for technical discussions, and CLA Associate Deans, Jo-Ida  ...  Acknowledgements This study was supported by funding sources to YZ, including two Brain Imaging Research Awards from the College of Liberal Arts (CLA) and the Grant-in-aid Program at the University of  ... 
doi:10.1111/j.1467-7687.2010.01004.x pmid:21477195 fatcat:ikzrzoxenvannfeaveektk5jae

Side Effects of Being Blue: Influence of Sad Mood on Visual Statistical Learning

Julie Bertels, Catherine Demoulin, Ana Franco, Arnaud Destrebecqz, Wael El-Deredy
2013 PLoS ONE  
It is well established that mood influences many cognitive processes, such as learning and executive functions.  ...  Interestingly, although participants from the sad and neutral groups performed similarly in these tasks, subjective measures (confidence judgments taken after each trial) revealed that participants who  ...  Acknowledgments We thank József Fiser and Richard N. Aslin for providing us with the stimuli and Anne-Laure Gilet for her helpful advices regarding the mood induction procedure.  ... 
doi:10.1371/journal.pone.0059832 pmid:23555797 pmcid:PMC3608531 fatcat:4ivnzh4wlncwtfnhllhny46kyi

An Introductory Tutorial on Brain–Computer Interfaces and Their Applications

Andrea Bonci, Simone Fiori, Hiroshi Higashi, Toshihisa Tanaka, Federica Verdini
2021 Electronics  
, ethical and legal issues related to brain–computer interface (BCI), data privacy, and performance assessment) with special emphasis to biomedical engineering and automation engineering applications.  ...  Recent advances in biomedical engineering, computer science, and neuroscience are making brain–computer interfaces a reality, paving the way to restoring and potentially augmenting human physical and mental  ...  Reactive: Such an instance makes use of neural data generated when users react to stimuli, often visual or tactile. 3.  ... 
doi:10.3390/electronics10050560 fatcat:g2d57exmcbghlkf2rekmgdjhae
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