Cover Image

Time Series Analysis of Spiking Neural Systems via Transfer Entropy and Directed Persistent Homology

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Peek, Dylan, Pritam, Siddharth, Skerritt, Matthew P., Chalup, Stephan
Format:	Preprint
Published:	2025
Subjects:	Neurons and Cognition Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Noise-Robust Topology Estimation of 2D Image Data via Neural Networks and Persistent Homology
by: Peek, Dylan, et al.
Published: (2025)

Challenges in 3D Data Synthesis for Training Neural Networks on Topological Features
by: Peek, Dylan, et al.
Published: (2025)

Analyzing Brain Tumor Connectomics using Graphs and Persistent Homology
by: Bhattacharya, Debanjali, et al.
Published: (2024)

Supervised Learning without Backpropagation using Spike-Timing-Dependent Plasticity for Image Recognition
by: Xie, Wei
Published: (2024)

sMRI-based Brain Age Estimation in MCI using Persistent Homology
by: Bhattacharya, Debanjali, et al.
Published: (2025)

Self-Attention-Based Contextual Modulation Improves Neural System Identification
by: Lin, Isaac, et al.
Published: (2024)

Synthesis and Perceptual Scaling of High Resolution Naturalistic Images Using Stable Diffusion
by: Pettini, Leonardo, et al.
Published: (2024)

Persistent Homology on a lattice of multigraphs
by: Boils, Joaquin Diaz
Published: (2025)

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

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

Allostatic Control of Persistent States in Spiking Neural Networks for perception and computation
by: Htet, Aung, et al.
Published: (2025)

Time-Integrated Spike-Timing-Dependent-Plasticity
by: Gebhardt, William, et al.
Published: (2024)

Predictive Coding with Spiking Neural Networks: a Survey
by: N'dri, Antony W., et al.
Published: (2024)

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

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

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

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

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

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

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

Consciousness Driven Spike Timing Dependent Plasticity
by: Yadav, Sushant, et al.
Published: (2024)

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

Visual Image Reconstruction from Brain Activity via Latent Representation
by: Kamitani, Yukiyasu, et al.
Published: (2025)

Probabilistic Neural Transfer Function Estimation with Bayesian System Identification
by: Wu, Nan, et al.
Published: (2023)

Revealing the core dimensions underlying representations in brains, behavior and AI
by: Mahner, Florian P., et al.
Published: (2026)

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

Power-Law Scaling in the Classification Performance of Small-Scale Spiking Neural Networks
by: Zhang, Zhengdi, et al.
Published: (2026)

Multi-Objective Optimisation with Oscillatory Dynamics in Spontaneous and Decision Spiking Neural Networks
by: Sethi, Divyansh, et al.
Published: (2026)

Working Memory in a Recurrent Spiking Neural Networks With Heterogeneous Synaptic Delays
by: Perrinet, Laurent U
Published: (2026)

Causal Spike Timing Dependent Plasticity Prevents Assembly Fusion in Recurrent Networks
by: Yang, Xinruo, et al.
Published: (2025)

Zigzag Persistence of Neural Responses to Time-Varying Stimuli
by: Gardinazzi, Yuri, et al.
Published: (2026)

Neural spikes as rare events
by: Kackar, Siddharth
Published: (2023)

The Homological Brain: Parity Principle and Amortized Inference
by: Li, Xin
Published: (2025)

Probing Human Visual Robustness with Neurally-Guided Deep Neural Networks
by: Shao, Zhenan, et al.
Published: (2024)

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

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

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

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

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

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