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Neural Naturalist: Generating Fine-Grained Image Comparisons [article]

Maxwell Forbes, Christine Kaeser-Chen, Piyush Sharma, Serge Belongie
2019 arXiv   pre-print
We propose a new model called Neural Naturalist that uses a joint image encoding and comparative module to generate comparative language, and evaluate the results with humans who must use the descriptions  ...  We introduce the new Birds-to-Words dataset of 41k sentences describing fine-grained differences between photographs of birds.  ...  We also propose the Neural Naturalist model architecture for generating comparisons given two images as input.  ... 
arXiv:1909.04101v3 fatcat:gxjjcg6ox5bpdpmtwowsbcd3qa

Neural Naturalist: Generating Fine-Grained Image Comparisons

Maxwell Forbes, Christine Kaeser-Chen, Piyush Sharma, Serge Belongie
2019 Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)  
We propose a new model called Neural Naturalist that uses a joint image encoding and comparative module to generate comparative language, and evaluate the results with humans who must use the descriptions  ...  We introduce the new Birds-to-Words dataset of 41k sentences describing fine-grained differences between photographs of birds.  ...  We also propose the Neural Naturalist model architecture for generating comparisons given two images as input.  ... 
doi:10.18653/v1/d19-1065 dblp:conf/emnlp/ForbesKSB19 fatcat:cggpdza7avfz7eto6khheqtd6e

Entropy, complexity, and maturity in children's neural responses during naturalistic mathematics learning [article]

Marie Amalric, Jessica Cantlon
2020 bioRxiv   pre-print
A critical step toward this goal is understanding how neural activity during real world naturalistic tasks relates to neural activity in more traditional laboratory tasks.  ...  We further examined the temporal properties of children's neural responses during the naturalistic and laboratory tasks to determine whether temporal patterns of neural activity change over development  ...  We then turned to the comparison of the dynamic signatures of neural activity during the naturalistic versus controlled tasks.  ... 
doi:10.1101/2020.11.18.387431 fatcat:zgjebix4hzbdfog5ecxc4xcvtu

Neural mechanisms underlying the temporal organization of naturalistic animal behavior [article]

Luca Mazzucato
2022 arXiv   pre-print
What are the neural mechanisms and computational principles generating such complex temporal features?  ...  between mesoscopic neural circuits.  ...  Multiple timescales of neural activity What are the neural mechanisms generating the hierarchy of timescales observed during naturalistic behavior?  ... 
arXiv:2203.02151v1 fatcat:m3cnresdcndz7hhr2qizhrmxlu

Investigating naturalistic hand movements by behavior mining in long-term video and neural recordings [article]

Satpreet H. Singh, Steven M. Peterson, Rajesh P. N. Rao, Bingni W. Brunton
2020 arXiv   pre-print
Our work addresses the unique data analysis challenges in studying naturalistic human behaviors, and contributes methods that may generalize to other neural recording modalities beyond ECoG.  ...  We publicly release our curated dataset, providing a resource to study naturalistic neural and behavioral variability at a scale not previously available.  ...  a fair comparison.  ... 
arXiv:2001.08349v2 fatcat:xdtqggoaovawbarh4ev7i6yyb4

Naturalistic Sentence Comprehension in the Brain

Jonathan Brennan
2016 Language and Linguistics Compass  
data, and (iii) to study neural mechanisms for language processing in populations that are poorly served by traditional methods.  ...  These models quantify how a specific computation, such as identifying a syntactic constituent, might be carried out by a neural circuit word-by-word.  ...  These "neuro-computational" models allow fine-grained aspects of sentence comprehension to be studied with naturalistic neural data.  ... 
doi:10.1111/lnc3.12198 fatcat:ghbqb3oi65hfhbxa3brz54nvu4

Age and sex modulate the variability of neural responses to naturalistic videos [article]

Agustin Petroni, Samantha S. Cohen, Lei Ai, Nicolas Langer, Simon Henin, Tamara Vanderwal, Michael P. Milham, Lucas C. Parra
2016 bioRxiv   pre-print
Neural development is generally marked by an increase in the efficiency and diversity of neural processes.  ...  In a large sample (N = 114) of children and adults with ages ranging from 5 - 44 years, we investigated the neural responses to naturalistic video stimuli.  ...  Future studies with fine-grained eye-tracking during EEG could more definitively answer this question.  ... 
doi:10.1101/089060 fatcat:flnceftx75eldadsloucokaq5u

Naturalistic Approaches to Creativity [chapter]

Dustin Stokes, Elliot Samuel Paul
2016 A Companion to Experimental Philosophy  
And very little of this attention has been naturalistic in some clear sense, either informed by empirical data from the behavioural and brain sciences, or involving novel design and execution of experiments  ...  First, there has been an increase in general philosophical attention to the topic. 1 Second, the philosophical neglect of the topic is not mirrored in psychology, neuroscience, computer science, artificial  ...  of grain.  ... 
doi:10.1002/9781118661666.ch22 fatcat:wa64h4hfxrg6pju5bhbumnx4je

Naturalistic Stimuli in Affective Neuroimaging: A Review

Heini Saarimäki
2021 Frontiers in Human Neuroscience  
Naturalistic stimuli such as movies, music, and spoken and written stories elicit strong emotions and allow brain imaging of emotions in close-to-real-life conditions.  ...  I argue that to investigate emotions with naturalistic stimuli, we need to define and extract emotion features from both the stimulus and the observer.  ...  Especially, studies with more fine-grained analysis between experienced and portrayed emotions (Lettieri et al., 2019) and parsing the same emotion category to different appraisals (Raz et al., 2014  ... 
doi:10.3389/fnhum.2021.675068 fatcat:cfsqm7n2kbcmdoq2do6rkbshie

Abstract linguistic structure correlates with temporal activity during naturalistic comprehension

Jonathan R. Brennan, Edward P. Stabler, Sarah E. Van Wagenen, Wen-Ming Luh, John T. Hale
2016 Brain and Language  
We chose this text because of its enjoyability, its use in prior imaging work , and because of available fine-grained syntactic annotations (VanWagenen et al., 2014) .  ...  Sensitivity to syntactic structure during incremental processing While neural studies have become increasingly tuned to fine-grained linguistic differences between sentence and phrase types (e.g.  ...  Table S6 : Step-wise model comparison results with alternative 6 mm diameter regions of interest.  ... 
doi:10.1016/j.bandl.2016.04.008 pmid:27208858 pmcid:PMC4893969 fatcat:r76biz25rvdvli4i57v5txiyxy

Multimodal user's affective state analysis in naturalistic interaction

George Caridakis, Kostas Karpouzis, Manolis Wallace, Loic Kessous, Noam Amir
2009 Journal on Multimodal User Interfaces  
Recognition is performed via a recurrent neural network, whose short term memory and approximation capabilities cater for modeling dynamic events in facial and prosodic expressivity.  ...  In this paper, we describe a multicue, dynamic approach to detect emotion in naturalistic video sequences, where input is taken from nearly real world situations, contrary to controlled recording conditions  ...  Since the available data were usually insufficient to build a robust machine learning system for the recognition of fine-grained affective states (e.g., basic emotions), the recognition of coarse affective  ... 
doi:10.1007/s12193-009-0030-8 fatcat:pjdowwoahrbupiw3n5ssivcriq

Spatially informed voxelwise modeling for naturalistic fMRI experiments

Emin Çelik, Salman Ul Hassan Dar, Özgür Yılmaz, Ümit Keleş, Tolga Çukur
2019 NeuroImage  
To optimally utilize shared information, SPIN-VM performs regularization across spatial neighborhoods in addition to model features, while still generating single-voxel response predictions.  ...  In contrast to traditional fMRI analyses, voxelwise modeling (VM) is a powerful framework that offers improved sensitivity for fine-grained assessment of cortical representations in naturalistic fMRI experiments  ...  As a consequence, the sensitivity to fine-grained information present in single voxels is reduced (Kriegeskorte and Bandettini, 2007) .  ... 
doi:10.1016/j.neuroimage.2018.11.044 fatcat:ujwtq3srwbbljk7ygod2e6zhu4

Connectivity Patterns in Cognitive Control Networks Predict Naturalistic Multitasking Ability [article]

Tanya Wen, De-Cyuan Liu, Shulan Hsieh
2018 bioRxiv   pre-print
within the sensorimotor network (SMN), and between-network connectivity of the frontopartietal network (FPN) and dorsal attention network (DAN), predicted individual multitasking ability and could be generalized  ...  Yet, we were able to find strong effects with multivariate analysis, implying that the fine-grained connectivity patterns may be predictive of individual differences in multitasking ability, and can generalize  ...  ., 2009; Garner & Dux, 2015) as well as the role of the SMN in supporting fine-grained goal-directed action (Dixon et al., 2014; Dixon et al., 2017) .  ... 
doi:10.1101/296475 fatcat:ppj5w3g325gkxhh2t2t5srlp2u

A Visuospatial Dataset for Naturalistic Verb Learning [article]

Dylan Ebert, Ellie Pavlick
2020 arXiv   pre-print
Our data is collected within a virtual reality environment and is designed to emulate the quality of language data to which a pre-verbal child is likely to have access: That is, naturalistic, spontaneous  ...  We evaluate neural models based on 2D (pixel) features as well as feature-engineered models based on 3D (symbolic, spatial) features, and show that neither modeling approach achieves satisfactory performance  ...  Recent work on detecting fine-grained events in videos is particularly relevant (Hendricks et al., 2018; Zhukov et al., 2019; Fried et al., 2020, among others) .  ... 
arXiv:2010.15225v1 fatcat:f4dnhk3ovnc6hioqbcmykiwfn4

Connectivity patterns in cognitive control networks predict naturalistic multitasking ability

Tanya Wen, De-Cyuan Liu, Shulan Hsieh
2018 Neuropsychologia  
within the sensorimotor network (SMN), and between-network connectivity of the frontoparietal network (FPN) and dorsal attention network (DAN), predicted individual multitasking ability and could be generalized  ...  We thank the Mind Research and Imaging Center (MRIC) at NCKU for consultation and instrument availability.  ...  Yet, we were able to find strong effects with multivariate analysis, implying that the fine-grained connectivity patterns may be predictive of individual differences in multitasking ability, and can generalize  ... 
doi:10.1016/j.neuropsychologia.2018.05.002 pmid:29729277 pmcid:PMC6711768 fatcat:lg4omyi2hnag3lpquvuj6i2co4
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