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Detecting neural state transitions underlying event segmentation

NeuroImage (Orlando, Fla.), 2021-08, Vol.236, p.118085-118085, Article 118085

2021

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Hyperrealistic neural decoding for reconstructing faces from fMRI activations via the GAN latent space

Scientific reports, 2022-01, Vol.12 (1), p.141-141, Article 141

2022

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Increasingly complex representations of natural movies across the dorsal stream are shared between subjects

NeuroImage (Orlando, Fla.), 2017-01, Vol.145 (Pt B), p.329-336

2017

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A partially nested cortical hierarchy of neural states underlies event segmentation in the human brain

eLife, 2022-09, Vol.11

2022

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Towards biologically plausible phosphene simulation for the differentiable optimization of visual cortical prostheses

eLife, 2024-02, Vol.13

2024

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Brain2GAN: Feature-disentangled neural encoding and decoding of visual perception in the primate brain

PLoS computational biology, 2024-05, Vol.20 (5), p.e1012058-e1012058

2024

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Brain2Pix: Fully convolutional naturalistic video frame reconstruction from brain activity

Frontiers in neuroscience, 2022-11, Vol.16, p.940972-940972

2022

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A 10-hour within-participant magnetoencephalography narrative dataset to test models of language comprehension

Scientific data, 2022-06, Vol.9 (1), p.278-278, Article 278

2022

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Brain-optimized extraction of complex sound features that drive continuous auditory perception

PLoS computational biology, 2020-07, Vol.16 (7), p.e1007992-e1007992

2020

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Unsupervised feature learning improves prediction of human brain activity in response to natural images

PLoS computational biology, 2014-08, Vol.10 (8), p.e1003724-e1003724

2014

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Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream

The Journal of neuroscience, 2015-07, Vol.35 (27), p.10005-10014

2015

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Inpainting and Denoising Challenges

1st ed. 2019., 2019

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Explainable and Interpretable Models in Computer Vision and Machine Learning

1st ed. 2018., 2019

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End-to-end optimization of prosthetic vision

Journal of vision (Charlottesville, Va.), 2022-02, Vol.22 (2), p.20-20

2022

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Cortical network responses map onto data-driven features that capture visual semantics of movie fragments

Scientific reports, 2020-07, Vol.10 (1), p.12077-12077, Article 12077

2020

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Modeling the Dynamics of Human Brain Activity with Recurrent Neural Networks

Frontiers in computational neuroscience, 2017-02, Vol.11, p.7-7

2017

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Real-world indoor mobility with simulated prosthetic vision: The benefits and feasibility of contour-based scene simplification at different phosphene resolutions

Journal of vision (Charlottesville, Va.), 2022-02, Vol.22 (2), p.1

2022

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Representations of naturalistic stimulus complexity in early and associative visual and auditory cortices

Scientific reports, 2018-02, Vol.8 (1), p.3439-16, Article 3439

2018

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Guest Editorial: Image and Video Inpainting and Denoising

IEEE transactions on pattern analysis and machine intelligence, 2020-05, Vol.42 (5), p.1021-1024

2020

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First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis

IEEE transactions on affective computing, 2022-01, Vol.13 (1), p.75-95

2022

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Neural Tuning to Low-Level Features of Speech throughout the Perisylvian Cortex

The Journal of neuroscience, 2017-08, Vol.37 (33), p.7906-7920

2017

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Gaze-contingent processing improves mobility, scene recognition and visual search in simulated head-steered prosthetic vision

Journal of neural engineering, 2024-04, Vol.21 (2), p.26037

2024

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Dünya Ticaretinde Türkiye’nin Demir-Çelik Sektörünün Analizi

International journal of management economics and business, 2020-12, Vol.16 (4)

2020

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Unsupervised Feature Learning Improves Prediction of Human Brain Activity in Response to Natural Images: e1003724

PLoS computational biology, 2014-08, Vol.10 (8)

2014

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A novel approach to improve the performance of the P300 speller paradigm

2010 IEEE International Conference on Systems, Man and Cybernetics, 2010, p.3786-3790

2010

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Detecting neural state transitions underlying event segmentation

Hyperrealistic neural decoding for reconstructing faces from fMRI activations via the GAN latent space

Increasingly complex representations of natural movies across the dorsal stream are shared between subjects

A partially nested cortical hierarchy of neural states underlies event segmentation in the human brain

Towards biologically plausible phosphene simulation for the differentiable optimization of visual cortical prostheses

Brain2GAN: Feature-disentangled neural encoding and decoding of visual perception in the primate brain

Brain2Pix: Fully convolutional naturalistic video frame reconstruction from brain activity

A 10-hour within-participant magnetoencephalography narrative dataset to test models of language comprehension

Brain-optimized extraction of complex sound features that drive continuous auditory perception

Unsupervised feature learning improves prediction of human brain activity in response to natural images

Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream

Inpainting and Denoising Challenges

Explainable and Interpretable Models in Computer Vision and Machine Learning

End-to-end optimization of prosthetic vision

Cortical network responses map onto data-driven features that capture visual semantics of movie fragments

Modeling the Dynamics of Human Brain Activity with Recurrent Neural Networks

Real-world indoor mobility with simulated prosthetic vision: The benefits and feasibility of contour-based scene simplification at different phosphene resolutions

Representations of naturalistic stimulus complexity in early and associative visual and auditory cortices

Guest Editorial: Image and Video Inpainting and Denoising

First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis

Neural Tuning to Low-Level Features of Speech throughout the Perisylvian Cortex

Gaze-contingent processing improves mobility, scene recognition and visual search in simulated head-steered prosthetic vision

Dünya Ticaretinde Türkiye’nin Demir-Çelik Sektörünün Analizi

Unsupervised Feature Learning Improves Prediction of Human Brain Activity in Response to Natural Images: e1003724

A novel approach to improve the performance of the P300 speller paradigm

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