Nonlinear Dynamics, Год журнала: 2025, Номер unknown
Опубликована: Фев. 14, 2025
Язык: Английский
Nonlinear Dynamics, Год журнала: 2025, Номер unknown
Опубликована: Фев. 14, 2025
Язык: Английский
Proceedings of the National Academy of Sciences, Год журнала: 2025, Номер 122(4)
Опубликована: Янв. 23, 2025
Looking at the world often involves not just seeing things, but feeling things. Modern feedforward machine vision systems that learn to perceive in absence of active physiology, deliberative thought, or any form feedback resembles human affective experience offer tools demystify relationship between and feeling, assess how much visually evoked experiences may be a straightforward function representation learning over natural image statistics. In this work, we deploy diverse sample 180 state-of-the-art deep neural network models trained only on canonical computer tasks predict ratings arousal, valence, beauty for images from multiple categories (objects, faces, landscapes, art) across two datasets. Importantly, use features these without additional learning, linearly decoding responses activity same way neuroscientists decode information recordings. Aggregate analysis our survey, demonstrates predictions purely perceptual explain majority explainable variance average alike. Finer-grained within survey (e.g. comparisons shallower deeper layers, randomly initialized, category-supervised, self-supervised models) point rich, preconceptual abstraction (learned diversity visual experience) as key driver predictions. Taken together, results provide further computational evidence an information-processing account affect linked directly efficient statistics, hint locus aesthetic valuation immediately proximate perception.
Язык: Английский
Процитировано
0PLoS Computational Biology, Год журнала: 2025, Номер 21(1), С. e1012751 - e1012751
Опубликована: Янв. 27, 2025
The human visual system possesses a remarkable ability to detect and process faces across diverse contexts, including the phenomenon of face pareidolia—–seeing in inanimate objects. Despite extensive research, it remains unclear why employs such broadly tuned detection capabilities. We hypothesized that pareidolia results from system’s optimization for recognizing both To test this hypothesis, we used task-optimized deep convolutional neural networks (CNNs) evaluated their alignment with behavioral signatures responses, measured via magnetoencephalography (MEG), related processing. Specifically, trained CNNs on tasks involving combinations identification, detection, object categorization, detection. Using representational similarity analysis, found included categorization training represented faces, real matched objects more similarly responses than those did not. Although these showed similar overall data, closer examination internal representations revealed specific had distinct effects how were layers. Finally, interpretability methods only CNN identification relied face-like features—such as ‘eyes’—to classify stimuli mirroring findings perception. Our suggest human-like may emerge within context generalized categorization.
Язык: Английский
Процитировано
0Current Opinion in Neurobiology, Год журнала: 2025, Номер 90, С. 102969 - 102969
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0Journal of Agricultural Engineering, Год журнала: 2025, Номер 56(1)
Опубликована: Фев. 11, 2025
The assessment of energy usage in the production ostrich meat and eggs provides a comprehensive analysis consumption efficiency. per 1000 units is 1,086,825.54 MJ for 1,197,794.25 egg. When considering protein supply, egg seems to be more justifiable terms efficiency compared production. This study delves into impact on human health, revealing slight difference 0.23 disability adjusted life years (DALY), hinting that could potentially have marginally negative health effects than Artificial neural network (ANN) indicates optimizing machinery, diesel fuel, can enhance productivity It also suggests there possibility greater resource as opposed production, highlighting focus within yield positive environmental benefits. Additionally, coefficient determination adaptive neuro-fuzzy inference system (ANFI) 4 model favorable outcome factors related those Moreover, low mean squared error value reflects high accuracy results obtained analysis.
Язык: Английский
Процитировано
0Nonlinear Dynamics, Год журнала: 2025, Номер unknown
Опубликована: Фев. 14, 2025
Язык: Английский
Процитировано
0