Exploring internal representation of self-supervised networks: few-shot learning abilities and comparison with human semantics and recognition of objects
Fuente:
arXiv
Saved in:
| Main Authors: | Kataoka, Asaki, Nagano, Yoshihiro, Oizumi, Masafumi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Extended predictive coding framework as variational free-energy minimisation under exponential-family assumption
by: Kataoka, Asaki, et al.
Published: (2026)
by: Kataoka, Asaki, et al.
Published: (2026)
Gromov-Wasserstein unsupervised alignment reveals structural correspondences between the color similarity structures of humans and large language models
by: Kawakita, Genji, et al.
Published: (2023)
by: Kawakita, Genji, et al.
Published: (2023)
Overcoming Output Dimension Collapse: When Sparsity Enables Zero-shot Brain-to-Image Reconstruction at Small Data Scales
by: Otsuka, Kenya, et al.
Published: (2025)
by: Otsuka, Kenya, et al.
Published: (2025)
Decomposing Thermodynamic Dissipation of Linear Langevin Systems via Oscillatory Modes and Its Application to Neural Dynamics
by: Sekizawa, Daiki, et al.
Published: (2023)
by: Sekizawa, Daiki, et al.
Published: (2023)
Systematic review of self-supervised foundation models for brain network representation using electroencephalography
by: Portmann, Hannah, et al.
Published: (2026)
by: Portmann, Hannah, et al.
Published: (2026)
Readout Representation: Redefining Neural Codes by Input Recovery
by: Onoo, Shunsuke, et al.
Published: (2025)
by: Onoo, Shunsuke, et al.
Published: (2025)
The time course of visuo-semantic representations in the human brain is captured by combining vision and language models
by: Rong, Boyan, et al.
Published: (2025)
by: Rong, Boyan, et al.
Published: (2025)
Weak structural connectivity nonlinearly underlying human cognitive abilities
by: Wang, Rong, et al.
Published: (2025)
by: Wang, Rong, et al.
Published: (2025)
Distinctive pupil and microsaccade-rate signatures in self-recognition
by: Schwetlick, Lisa, et al.
Published: (2023)
by: Schwetlick, Lisa, et al.
Published: (2023)
Advancing credibility and transparency in brain-to-image reconstruction research: Reanalysis of Koide-Majima, Nishimoto, and Majima (Neural Networks, 2024)
by: Shirakawa, Ken, et al.
Published: (2025)
by: Shirakawa, Ken, et al.
Published: (2025)
Spurious reconstruction from brain activity
by: Shirakawa, Ken, et al.
Published: (2024)
by: Shirakawa, Ken, et al.
Published: (2024)
Semantic representations emerge in biologically inspired ensembles of cross-supervising neural networks
by: Urbach, Roy, et al.
Published: (2025)
by: Urbach, Roy, et al.
Published: (2025)
Beyond variance: sensitivity-based dimensions in brain networks underlie individual differences in cognitive ability
by: Chen, Sida, et al.
Published: (2025)
by: Chen, Sida, et al.
Published: (2025)
Evolution of diverse (and advanced) cognitive abilities through adaptive fine-tuning of learning and chunking mechanisms
by: Lotem, Arnon, et al.
Published: (2025)
by: Lotem, Arnon, et al.
Published: (2025)
Mathematical representation of the structure of neuron-glia networks
by: Peña-Garcia, Marco, et al.
Published: (2021)
by: Peña-Garcia, Marco, et al.
Published: (2021)
Zero-shot counting with a dual-stream neural network model
by: Thompson, Jessica A. F., et al.
Published: (2024)
by: Thompson, Jessica A. F., et al.
Published: (2024)
Category learning in deep neural networks: Information content and geometry of internal representations
by: Bonnasse-Gahot, Laurent, et al.
Published: (2025)
by: Bonnasse-Gahot, Laurent, et al.
Published: (2025)
Cerebral cortex inspired representation of neural field network
by: Sharma, Anil Kumar, et al.
Published: (2024)
by: Sharma, Anil Kumar, et al.
Published: (2024)
Self-supervised contrastive learning unveils cortical folding pattern linked to prematurity
by: Laval, Julien, et al.
Published: (2024)
by: Laval, Julien, et al.
Published: (2024)
Representational drift under spontaneous activity -- self-organized criticality enhances representational reliability
by: Yang, Zhuda, et al.
Published: (2025)
by: Yang, Zhuda, et al.
Published: (2025)
Summary statistics of learning link changing neural representations to behavior
by: Zavatone-Veth, Jacob A., et al.
Published: (2025)
by: Zavatone-Veth, Jacob A., et al.
Published: (2025)
Vision-language models learn the geometry of human perceptual space
by: Sanders, Craig, et al.
Published: (2025)
by: Sanders, Craig, et al.
Published: (2025)
Recovery of activation propagation and self-sustained oscillation abilities in stroke brain networks
by: Liu, Yingpeng, et al.
Published: (2025)
by: Liu, Yingpeng, et al.
Published: (2025)
Geometric representations of brain networks can predict the surgery outcome in temporal lobe epilepsy
by: Guillemaud, Martin, et al.
Published: (2024)
by: Guillemaud, Martin, et al.
Published: (2024)
Unifying equivalences across unsupervised learning, network science, and imaging/network neuroscience
by: Rubinov, Mika
Published: (2025)
by: Rubinov, Mika
Published: (2025)
Automatic recognition and detection of aphasic natural speech
by: Barberis, Mara, et al.
Published: (2024)
by: Barberis, Mara, et al.
Published: (2024)
Language modulates vision: Evidence from neural networks and human brain-lesion models
by: Chen, Haoyang, et al.
Published: (2025)
by: Chen, Haoyang, et al.
Published: (2025)
Do self-supervised speech and language models extract similar representations as human brain?
by: Chen, Peili, et al.
Published: (2023)
by: Chen, Peili, et al.
Published: (2023)
Economical representation of spatial networks
by: Fallani, Fabrizio De Vico, et al.
Published: (2024)
by: Fallani, Fabrizio De Vico, et al.
Published: (2024)
Habit learning is associated with efficiently controlled network dynamics in naive macaque monkeys
by: Brynildsen, Julia K., et al.
Published: (2025)
by: Brynildsen, Julia K., et al.
Published: (2025)
Semantic distance organizes social knowledge: Insights from semantic dementia and cross-modal conceptual space
by: Colón, Y. Ivette, et al.
Published: (2024)
by: Colón, Y. Ivette, et al.
Published: (2024)
Topological data analysis suggests human brain networks reconfiguration in the transition from a resting state to cognitive load
by: Ernston, Ilya, et al.
Published: (2023)
by: Ernston, Ilya, et al.
Published: (2023)
Universal scale-free representations in human visual cortex
by: Gauthaman, Raj Magesh, et al.
Published: (2024)
by: Gauthaman, Raj Magesh, et al.
Published: (2024)
Learning continually with representational drift
by: van der Veldt, Suzanne, et al.
Published: (2025)
by: van der Veldt, Suzanne, et al.
Published: (2025)
Synchronization and semantization in deep spiking networks
by: Oberste-Frielinghaus, Jonas, et al.
Published: (2025)
by: Oberste-Frielinghaus, Jonas, et al.
Published: (2025)
The mouth speaks as much as the eyes: Free-ranging dogs depend on inner facial features for human recognition
by: Sarkar, Rohan, et al.
Published: (2024)
by: Sarkar, Rohan, et al.
Published: (2024)
Clarifying the conceptual dimensions of representation in neuroscience
by: Pohl, Stephan, et al.
Published: (2024)
by: Pohl, Stephan, et al.
Published: (2024)
Somatosensory and motor contributions to emotion representation
by: Reddan, Marianne C., et al.
Published: (2024)
by: Reddan, Marianne C., et al.
Published: (2024)
Spike distance function as a learning objective for spike prediction
by: Doran, Kevin, et al.
Published: (2023)
by: Doran, Kevin, et al.
Published: (2023)
Prediction horizon shapes representations in predictive learning
by: Ratzon, Aviv, et al.
Published: (2025)
by: Ratzon, Aviv, et al.
Published: (2025)
Similar Items
-
Extended predictive coding framework as variational free-energy minimisation under exponential-family assumption
by: Kataoka, Asaki, et al.
Published: (2026) -
Gromov-Wasserstein unsupervised alignment reveals structural correspondences between the color similarity structures of humans and large language models
by: Kawakita, Genji, et al.
Published: (2023) -
Overcoming Output Dimension Collapse: When Sparsity Enables Zero-shot Brain-to-Image Reconstruction at Small Data Scales
by: Otsuka, Kenya, et al.
Published: (2025) -
Decomposing Thermodynamic Dissipation of Linear Langevin Systems via Oscillatory Modes and Its Application to Neural Dynamics
by: Sekizawa, Daiki, et al.
Published: (2023) -
Systematic review of self-supervised foundation models for brain network representation using electroencephalography
by: Portmann, Hannah, et al.
Published: (2026)