NeuralDiffuser: Neuroscience-inspired Diffusion Guidance for fMRI Visual Reconstruction
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Haoyu, Wu, Hao, Chen, Badong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World
by: Yao, Xingting, et al.
Published: (2023)
by: Yao, Xingting, et al.
Published: (2023)
SNN-PAR: Energy Efficient Pedestrian Attribute Recognition via Spiking Neural Networks
by: Wang, Haiyang, et al.
Published: (2024)
by: Wang, Haiyang, et al.
Published: (2024)
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models
by: Kynkäänniemi, Tuomas, et al.
Published: (2024)
by: Kynkäänniemi, Tuomas, et al.
Published: (2024)
Structure-Guided Diffusion Model for EEG-Based Visual Cognition Reconstruction
by: Lian, Yongxiang, et al.
Published: (2026)
by: Lian, Yongxiang, et al.
Published: (2026)
Neural Architecture Search with Mixed Bio-inspired Learning Rules
by: Hamzaoui, Imane, et al.
Published: (2025)
by: Hamzaoui, Imane, et al.
Published: (2025)
SoftReMish: A Novel Activation Function for Enhanced Convolutional Neural Networks for Visual Recognition Performance
by: Gücen, Mustafa Bayram
Published: (2025)
by: Gücen, Mustafa Bayram
Published: (2025)
Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks
by: Du, Guodong, et al.
Published: (2024)
by: Du, Guodong, et al.
Published: (2024)
XOResNet: Exclusive-OR Meta-Residuals Facilitate Deep Spiking Neural Networks Learning
by: Wu, Jianfang, et al.
Published: (2026)
by: Wu, Jianfang, et al.
Published: (2026)
VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognition
by: Chen, Lan, et al.
Published: (2024)
by: Chen, Lan, et al.
Published: (2024)
Temporal-adaptive Weight Quantization for Spiking Neural Networks
by: Zhang, Han, et al.
Published: (2025)
by: Zhang, Han, et al.
Published: (2025)
CCSRP: Robust Pruning of Spiking Neural Networks through Cooperative Coevolution
by: Song, Zichen, et al.
Published: (2024)
by: Song, Zichen, et al.
Published: (2024)
EPRBench: A High-Quality Benchmark Dataset for Event Stream Based Visual Place Recognition
by: Wang, Xiao, et al.
Published: (2026)
by: Wang, Xiao, et al.
Published: (2026)
Long-Term Visual Object Tracking with Event Cameras: An Associative Memory Augmented Tracker and A Benchmark Dataset
by: Wang, Xiao, et al.
Published: (2024)
by: Wang, Xiao, et al.
Published: (2024)
Visual Enumeration Remains Challenging for Multimodal Generative AI
by: Testolin, Alberto, et al.
Published: (2024)
by: Testolin, Alberto, et al.
Published: (2024)
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks
by: Wang, Ziming, et al.
Published: (2024)
by: Wang, Ziming, et al.
Published: (2024)
CADE: Cosine Annealing Differential Evolution for Spiking Neural Network
by: Jiang, Runhua, et al.
Published: (2024)
by: Jiang, Runhua, et al.
Published: (2024)
MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds
by: Wang, Xiaoting, et al.
Published: (2023)
by: Wang, Xiaoting, et al.
Published: (2023)
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields
by: Babaiee, Zahra, et al.
Published: (2024)
by: Babaiee, Zahra, et al.
Published: (2024)
DTA: Dual Temporal-channel-wise Attention for Spiking Neural Networks
by: Kim, Minje, et al.
Published: (2025)
by: Kim, Minje, et al.
Published: (2025)
Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation
by: Hao, Zecheng, et al.
Published: (2024)
by: Hao, Zecheng, et al.
Published: (2024)
Ge$^\text{2}$mS-T: Multi-Dimensional Grouping for Ultra-High Energy Efficiency in Spiking Transformer
by: Hao, Zecheng, et al.
Published: (2026)
by: Hao, Zecheng, et al.
Published: (2026)
Analyzing and Improving the Training Dynamics of Diffusion Models
by: Karras, Tero, et al.
Published: (2023)
by: Karras, Tero, et al.
Published: (2023)
Connective Viewpoints of Signal-to-Noise Diffusion Models
by: Doan, Khanh, et al.
Published: (2024)
by: Doan, Khanh, et al.
Published: (2024)
Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion Models!
by: Kotyan, Shashank, et al.
Published: (2024)
by: Kotyan, Shashank, et al.
Published: (2024)
SpikingRTNH: Spiking Neural Network for 4D Radar Object Detection
by: Paek, Dong-Hee, et al.
Published: (2025)
by: Paek, Dong-Hee, et al.
Published: (2025)
From Neural Activity to Computation: Biological Reservoirs for Pattern Recognition in Digit Classification
by: Iannello, Ludovico, et al.
Published: (2025)
by: Iannello, Ludovico, et al.
Published: (2025)
Motion Illusions Generated Using Predictive Neural Networks Also Fool Humans
by: Sinapayen, Lana, et al.
Published: (2021)
by: Sinapayen, Lana, et al.
Published: (2021)
Accuracy-Robustness Trade Off via Spiking Neural Network Gradient Sparsity Trail
by: Nhan, Luu Trong, et al.
Published: (2025)
by: Nhan, Luu Trong, et al.
Published: (2025)
Energy-Aware Spike Budgeting for Continual Learning in Spiking Neural Networks for Neuromorphic Vision
by: Meem, Anika Tabassum, et al.
Published: (2026)
by: Meem, Anika Tabassum, et al.
Published: (2026)
Multistep Distillation of Diffusion Models via Moment Matching
by: Salimans, Tim, et al.
Published: (2024)
by: Salimans, Tim, et al.
Published: (2024)
Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions
by: He, Huaxu
Published: (2024)
by: He, Huaxu
Published: (2024)
NeuRN: Neuro-inspired Domain Generalization for Image Classification
by: Jalil, Hamd, et al.
Published: (2025)
by: Jalil, Hamd, et al.
Published: (2025)
VFM-Det: Towards High-Performance Vehicle Detection via Large Foundation Models
by: Wu, Wentao, et al.
Published: (2024)
by: Wu, Wentao, et al.
Published: (2024)
Guiding a Diffusion Model with a Bad Version of Itself
by: Karras, Tero, et al.
Published: (2024)
by: Karras, Tero, et al.
Published: (2024)
Spiking Diffusion Models
by: Cao, Jiahang, et al.
Published: (2024)
by: Cao, Jiahang, et al.
Published: (2024)
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model
by: Hao, Zecheng, et al.
Published: (2024)
by: Hao, Zecheng, et al.
Published: (2024)
AR-LIF: Adaptive reset leaky integrate-and-fire neuron for spiking neural networks
by: Huang, Zeyu, et al.
Published: (2025)
by: Huang, Zeyu, et al.
Published: (2025)
Mice to Machines: Neural Representations from Visual Cortex for Domain Generalization
by: Qazi, Ahmed, et al.
Published: (2025)
by: Qazi, Ahmed, et al.
Published: (2025)
Neural Dynamics Model of Visual Decision-Making: Learning from Human Experts
by: Su, Jie, et al.
Published: (2024)
by: Su, Jie, et al.
Published: (2024)
Structure Abstraction and Generalization in a Hippocampal-Entorhinal Inspired World Model
by: Zhang, Tianqiu, et al.
Published: (2026)
by: Zhang, Tianqiu, et al.
Published: (2026)
Similar Items
-
SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World
by: Yao, Xingting, et al.
Published: (2023) -
SNN-PAR: Energy Efficient Pedestrian Attribute Recognition via Spiking Neural Networks
by: Wang, Haiyang, et al.
Published: (2024) -
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models
by: Kynkäänniemi, Tuomas, et al.
Published: (2024) -
Structure-Guided Diffusion Model for EEG-Based Visual Cognition Reconstruction
by: Lian, Yongxiang, et al.
Published: (2026) -
Neural Architecture Search with Mixed Bio-inspired Learning Rules
by: Hamzaoui, Imane, et al.
Published: (2025)