Imagen de Portada

Self-supervised learning of video representations from a child's perspective

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Orhan, A. Emin, Wang, Wentao, Wang, Alex N., Ren, Mengye, Lake, Brenden M.
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Machine Learning Neural and Evolutionary Computing Neurons and Cognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

HVM-1: Large-scale video models pretrained with nearly 5000 hours of human-like video data
por: Orhan, A. Emin
Publicado: (2024)

Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representations
por: Xie, Yudi, et al.
Publicado: (2024)

A Spatial-channel-temporal-fused Attention for Spiking Neural Networks
por: Cai, Wuque, et al.
Publicado: (2022)

ST-FlowNet: An Efficient Spiking Neural Network for Event-Based Optical Flow Estimation
por: Sun, Hongze, et al.
Publicado: (2025)

Noninvasive precision modulation of high-level neural population activity via natural vision perturbations
por: Gaziv, Guy, et al.
Publicado: (2025)

Object recognition in primates: What can early visual areas contribute?
por: Quaia, Christian, et al.
Publicado: (2024)

Asynchronous Bioplausible Neuron for SNN for Event Vision
por: Kachole, Sanket, et al.
Publicado: (2023)

FOVI: A biologically-inspired foveated interface for deep vision models
por: Blauch, Nicholas M., et al.
Publicado: (2026)

Modeling of Self-sustained Neuron Population without External Stimulus
por: Karakaş, İhsan Ertuğrul, et al.
Publicado: (2026)

Spiking representation learning for associative memories
por: Ravichandran, Naresh, et al.
Publicado: (2024)

Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks
por: Ravichandran, Naresh, et al.
Publicado: (2024)

Achieving More Human Brain-Like Vision via Human EEG Representational Alignment
por: Lu, Zitong, et al.
Publicado: (2024)

Neural Dynamics Model of Visual Decision-Making: Learning from Human Experts
por: Su, Jie, et al.
Publicado: (2024)

"What" x "When" working memory representations using Laplace Neural Manifolds
por: Sarkar, Aakash, et al.
Publicado: (2024)

An Artificial Neural Network for Image Classification Inspired by Aversive Olfactory Learning Circuits in Caenorhabditis Elegans
por: Wang, Xuebin, et al.
Publicado: (2024)

Self-supervised local learning rules learn the hidden hierarchical structure of high-dimensional data
por: Delrocq, Ariane, et al.
Publicado: (2026)

Improving Liver Disease Diagnosis with SNNDeep: A Custom Spiking Neural Network Using Diverse Learning Algorithms
por: Rudnicka, Zofia, et al.
Publicado: (2025)

Perceptual Reality Transformer: Neural Architectures for Simulating Neurological Perception Conditions
por: Lin, Baihan
Publicado: (2025)

What if Eye...? Computationally Recreating Vision Evolution
por: Tiwary, Kushagra, et al.
Publicado: (2025)

Considering a generative mechanism of consciousness from the perspective of inter-level causation
por: Ohmura, Yoshiyuki, et al.
Publicado: (2025)

Computational models of learning and synaptic plasticity
por: Tyulmankov, Danil
Publicado: (2024)

A Computational Framework for Modeling Emergence of Color Vision in the Human Brain
por: Kotani, Atsunobu, et al.
Publicado: (2024)

Evolution imposes an inductive bias that alters and accelerates learning dynamics
por: Midler, Benjamin, et al.
Publicado: (2025)

One-shot learning of paired association navigation with biologically plausible schemas
por: Kumar, M Ganesh, et al.
Publicado: (2021)

Elucidating the theoretical underpinnings of surrogate gradient learning in spiking neural networks
por: Gygax, Julia, et al.
Publicado: (2024)

Evolving choice hysteresis in reinforcement learning: comparing the adaptive value of positivity bias and gradual perseveration
por: Hoxha, Isabelle, et al.
Publicado: (2024)

Self-motion as a structural prior for coherent and robust formation of cognitive maps
por: Yu, Yingchao, et al.
Publicado: (2025)

How the Stroop Effect Arises from Optimal Response Times in Laterally Connected Self-Organizing Maps
por: Prabhakaran, Divya, et al.
Publicado: (2025)

RECAP: Local Hebbian Prototype Learning as a Self-Organizing Readout for Reservoir Dynamics
por: Zhang, Heng
Publicado: (2026)

Biologically-Plausible Topology Improved Spiking Actor Network for Efficient Deep Reinforcement Learning
por: Zhang, Duzhen, et al.
Publicado: (2024)

Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems
por: Shankar, Sohan, et al.
Publicado: (2025)

Active Predictive Coding: A Unified Neural Framework for Learning Hierarchical World Models for Perception and Planning
por: Rao, Rajesh P. N., et al.
Publicado: (2022)

Implementing engrams from a machine learning perspective: XOR as a basic motif
por: de Lucas, Jesus Marco, et al.
Publicado: (2024)

Teaching signal synchronization in deep neural networks with prospective neurons
por: Zucchet, Nicoas, et al.
Publicado: (2025)

On Broken Symmetry in Cognition
por: Li, Xin
Publicado: (2023)

Building functional and mechanistic models of cortical computation based on canonical cell type connectivity
por: Granier, Arno, et al.
Publicado: (2025)

Analysis of a Spatialized Brain-Body-Environment System
por: Pak, Denizhan, et al.
Publicado: (2025)

The generalized Hierarchical Gaussian Filter
por: Weber, Lilian Aline, et al.
Publicado: (2023)

Exploring the role of structure in a time constrained decision task
por: Chaix-Eichel, Naomi, et al.
Publicado: (2024)

Von Economo neurons enable reliable social skill acquisition in recurrent spiking neural networks: a computational account with clinical predictions
por: Keskin, Esila
Publicado: (2026)