Imagen de Portada

Self-Attention-Based Contextual Modulation Improves Neural System Identification

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lin, Isaac, Wang, Tianye, Gao, Shang, Tang, Shiming, Lee, Tai Sing
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Neurons and Cognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Integrative characterization of the topography of V4 neural codes using deep learning approaches
por: Bian, Yingjue, et al.
Publicado: (2025)

A Few-Shot Metric Learning Method with Dual-Channel Attention for Cross-Modal Same-Neuron Identification
por: Li, Wenwei, et al.
Publicado: (2025)

Foveated Retinotopy Improves Classification and Localization in Convolutional Neural Networks
por: Jérémie, Jean-Nicolas, et al.
Publicado: (2024)

SIMON: Saliency-aware Integrative Multi-view Object-centric Neural Decoding
por: Lin, YuSheng, et al.
Publicado: (2026)

Time Series Analysis of Spiking Neural Systems via Transfer Entropy and Directed Persistent Homology
por: Peek, Dylan, et al.
Publicado: (2025)

Reliable Object Tracking by Multimodal Hybrid Feature Extraction and Transformer-Based Fusion
por: Sun, Hongze, et al.
Publicado: (2024)

Unraveling the geometry of visual relational reasoning
por: Shang, Jiaqi, et al.
Publicado: (2025)

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment
por: Hu, Yang, et al.
Publicado: (2025)

Gamma2Patterns: Deep Cognitive Attention Region Identification and Gamma-Alpha Pattern Analysis
por: Jahan, Sobhana, et al.
Publicado: (2026)

Primary visual cortex contributes to color constancy by predicting rather than discounting the illuminant: evidence from a computational study
por: Gao, Shaobing, et al.
Publicado: (2024)

Explicitly Modeling Subcortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness
por: Piper, Lucas, et al.
Publicado: (2025)

Correcting Biased Centered Kernel Alignment Measures in Biological and Artificial Neural Networks
por: Murphy, Alex, et al.
Publicado: (2024)

Explicitly Modeling Pre-Cortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness
por: Piper, Lucas, et al.
Publicado: (2024)

Stimulus Motion Perception Studies Imply Specific Neural Computations in Human Visual Stabilization
por: Arathorn, David W, et al.
Publicado: (2025)

Simple Models, Rich Representations: Visual Decoding from Primate Intracortical Neural Signals
por: Ciferri, Matteo, et al.
Publicado: (2026)

Higher-Order Convolution Improves Neural Predictivity in the Retina
por: Azeglio, Simone, et al.
Publicado: (2025)

Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function
por: Grim, Anna, et al.
Publicado: (2025)

Utilizing Computer Vision for Continuous Monitoring of Vaccine Side Effects in Experimental Mice
por: Li, Chuang, et al.
Publicado: (2024)

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

BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification
por: Xu, Jiaxing, et al.
Publicado: (2025)

Language learning shapes visual category-selectivity in deep neural networks
por: Lu, Zitong, et al.
Publicado: (2025)

Rest2Visual: Predicting Visually Evoked fMRI from Resting-State Scans
por: Zhou, Chuyang, et al.
Publicado: (2025)

Manifold Transform by Recurrent Cortical Circuit Enhances Robust Encoding of Familiar Stimuli
por: Wang, Weifan, et al.
Publicado: (2024)

Aligned with LLM: a new multi-modal training paradigm for encoding fMRI activity in visual cortex
por: Ma, Shuxiao, et al.
Publicado: (2024)

IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks with Iterative Reverse Concatenations and Recurrent Modules
por: Li, Min, et al.
Publicado: (2024)

Brain-DiT: A Universal Multi-state fMRI Foundation Model with Metadata-Conditioned Pretraining
por: Xia, Junfeng, et al.
Publicado: (2026)

Skeletonization of neuronal processes using Discrete Morse techniques from computational topology
por: Banerjee, Samik, et al.
Publicado: (2025)

Early Autism Diagnosis based on Path Signature and Siamese Unsupervised Feature Compressor
por: Yin, Zhuowen, et al.
Publicado: (2023)

SLIM-Brain: A Data- and Training-Efficient Foundation Model for fMRI Data Analysis
por: Wang, Mo, et al.
Publicado: (2025)

Animal behavioral analysis and neural encoding with transformer-based self-supervised pretraining
por: Wang, Yanchen, et al.
Publicado: (2025)

Hierarchical Mesh Transformers with Topology-Guided Pretraining for Morphometric Analysis of Brain Structures
por: Xiong, Yujian, et al.
Publicado: (2026)

Pixel-Based Similarities as an Alternative to Neural Data for Improving Convolutional Neural Network Adversarial Robustness
por: Attias, Elie, et al.
Publicado: (2024)

Modeling Spatiotemporal Neural Frames for High Resolution Brain Dynamic
por: Qu, Wanying, et al.
Publicado: (2026)

Coupling a Recurrent Neural Network to SPAD TCSPC Systems for Real-time Fluorescence Lifetime Imaging
por: Lin, Yang, et al.
Publicado: (2023)

Insights from the Algonauts 2025 Winners
por: Scotti, Paul S., et al.
Publicado: (2025)

Error correction in multiclass image classification of facial emotion on unbalanced samples
por: Lebedev, Andrey A., et al.
Publicado: (2025)

Model-Guided Microstimulation Steers Primate Visual Behavior
por: Mehrer, Johannes, et al.
Publicado: (2025)

Bitbox: Behavioral Imaging Toolbox for Computational Analysis of Behavior from Videos
por: Sariyanidi, Evangelos, et al.
Publicado: (2025)

Micro-DualNet: Dual-Path Spatio-Temporal Network for Micro-Action Recognition
por: Chappa, Naga VS Raviteja, et al.
Publicado: (2026)

Relationships between the degrees of freedom in the affine Gaussian derivative model for visual receptive fields and 2-D affine image transformations, with application to covariance properties of simple cells in the primary visual cortex
por: Lindeberg, Tony
Publicado: (2024)