Cover Image

Interpreting V1 Population Activity via Image-Neural Latent Representation Alignment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Xin, Gao, Zhuangzhi, Qin, Hongyi, Wu, Zhongli, Zhou, Feixiang, Zhao, He
Format:	Preprint
Published:	2026
Subjects:	Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity
by: Huang, Liwei, et al.
Published: (2024)

BrainFLORA: Uncovering Brain Concept Representation via Multimodal Neural Embeddings
by: Li, Dongyang, et al.
Published: (2025)

Structural Equation-VAE: Disentangled Latent Representations for Tabular Data
by: Zhang, Ruiyu, et al.
Published: (2025)

Cascaded Large-Scale TSP Solving with Unified Neural Guidance: Bridging Local and Population-based Search
by: Lv, Haoze, et al.
Published: (2025)

Learning to Evolve for Optimization via Stability-Inducing Neural Unrolling
by: Gao, Jiaxin, et al.
Published: (2025)

Optimizing Spatio-Temporal Information Processing in Spiking Neural Networks via Unconstrained Leaky Integrate-and-Fire Neurons and Hybrid Coding
by: He, Huaxu
Published: (2024)

NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators
by: Farinati, Davide, et al.
Published: (2026)

PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
by: Duan, Qiqi, et al.
Published: (2022)

Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation
by: Feng, Linghao, et al.
Published: (2024)

Speeding Up the NSGA-II via Dynamic Population Sizes
by: Doerr, Benjamin, et al.
Published: (2025)

Representation Improvement in Latent Space for Search-Based Testing of Autonomous Robotic Systems
by: Humeniuk, Dmytro, et al.
Published: (2025)

Parallel Spiking Unit for Efficient Training of Spiking Neural Networks
by: Li, Yang, et al.
Published: (2024)

BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation
by: Guo, Zhengrui, et al.
Published: (2024)

A Novel Population Initialization Method via Adaptive Experience Transfer for General-Purpose Binary Evolutionary Optimization
by: Wang, Zhiyuan, et al.
Published: (2025)

Convolutional Spiking Neural Network for Image Classification
by: Kiselev, Mikhail, et al.
Published: (2025)

FiTS: Interpretable Spiking Neurons via Frequency Selectivity and Temporal Shaping
by: Choi, Jongmin, et al.
Published: (2026)

Dynamic Neural Field Modeling of Visual Contrast for Perceiving Incoherent Looming
by: Qin, Ziyan, et al.
Published: (2025)

A Brain-Inspired Perception-Decision Driving Model Based on Neural Pathway Anatomical Alignment
by: Wang, Haidong, et al.
Published: (2025)

Multi-compartment Neuron and Population Encoding Powered Spiking Neural Network for Deep Distributional Reinforcement Learning
by: Sun, Yinqian, et al.
Published: (2023)

Frequency Matching in Spiking Neural Networks for mmWave Sensing
by: Yu, Di, et al.
Published: (2026)

Population Dynamics in ARIEL Robotics Systems Featuring Embodied Evolution via Spatial Mating Mechanisms
by: Peterson, Victoria, et al.
Published: (2026)

BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation
by: Xu, Zekai, et al.
Published: (2024)

Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient
by: Li, Yang, et al.
Published: (2024)

Multi-Modal Learning meets Genetic Programming: Analyzing Alignment in Latent Space Optimization
by: Léger, Benjamin, et al.
Published: (2026)

Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligence
by: He, Xiang, et al.
Published: (2025)

Classifying Images with CoLaNET Spiking Neural Network -- the MNIST Example
by: Kiselev, Mikhail
Published: (2024)

A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks
by: Chen, Xinyi, et al.
Published: (2023)

Signal-to-Noise Ratio and Sample Size Govern Representational Alignment in Neural Networks
by: Umar, Ali Hussaini, et al.
Published: (2026)

Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks
by: Shen, Guobin, et al.
Published: (2023)

BioNIC: Biologically Inspired Neural Network for Image Classification Using Connectomics Principles
by: Prasanth, Diya, et al.
Published: (2026)

Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms
by: He, Jun, et al.
Published: (2023)

An Error Discovery and Correction for the Family of V-Shaped BPSO Algorithms
by: Zhao, Qing, et al.
Published: (2024)

3D UAV Trajectory Planning for IoT Data Collection via Matrix-Based Evolutionary Computation
by: Sun, Pei-Fa, et al.
Published: (2024)

Spiking Neural Networks with Consistent Mapping Relations Allow High-Accuracy Inference
by: Li, Yang, et al.
Published: (2024)

Fast Estimations of Hitting Time of Elitist Evolutionary Algorithms from Fitness Levels
by: He, Jun, et al.
Published: (2023)

Estimate Hitting Time by Hitting Probability for Elitist Evolutionary Algorithms
by: He, Jun, et al.
Published: (2025)

Enhancing Population-based Search with Active Inference
by: Dehouche, Nassim, et al.
Published: (2024)

Multiple Population Alternate Evolution Neural Architecture Search
by: Zou, Juan, et al.
Published: (2024)

Enabling Population-Based Architectures for Neural Combinatorial Optimization
by: Garmendia, Andoni Irazusta, et al.
Published: (2026)

Spatial-Temporal Search for Spiking Neural Networks
by: Che, Kaiwei, et al.
Published: (2024)