A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Neural Naturalist: Generating Fine-Grained Image Comparisons
[article]
2019
arXiv
pre-print
Preserved Fulltext
Other Versions
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
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)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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]
2020
bioRxiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
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
2016
Language and Linguistics Compass
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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]
2016
bioRxiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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]
2016
A Companion to Experimental Philosophy
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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
2021
Frontiers in Human Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2016
Brain and Language
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2009
Journal on Multimodal User Interfaces
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2019
NeuroImage
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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]
2018
bioRxiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2018
Neuropsychologia
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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
« Previous
Showing results 1 — 15 out of 2,031 results