Epileptiform fast-slow compound waves in neural networks: Mechanisms of dendritic oscillations and non-synaptic recruitment
Neurocomputing 697, 134260 (2026)
Read paper ↗COMPUTATIONAL NEUROSCIENCE · NONLINEAR DYNAMICS
Feng Zhang
张丰
PhD student · Tianjin University
School of Automation
Understanding complex brain rhythms through multiscale neuronal dynamics.
My research uses mathematical modeling and dynamical systems analysis to connect microscopic, mesoscopic and macroscopic scales: from single-neuron dynamics, through neural network propagation, to EEG modeling. I study multi-timescale oscillations in pyramidal neurons and ephaptic coupling in neural networks, and explore how neural mass models relate to epileptiform EEG activity. Parameter identification is an ongoing exploratory direction for connecting biophysical mechanisms with observed brain signals.
Publications
Journal & conference papersComputational Modeling of Dendritic-Somatic Interactions Driven by Electric Field Polarization in Pyramidal Neurons
2025 12th International IEEE/EMBS Conference on Neural Engineering (NER) 228–233 (2025)
Read paper ↗Computational Modeling of Planar Epileptic Waves Under Ephaptic Coupling for Closed-Loop Stimulation
2025 12th International IEEE/EMBS Conference on Neural Engineering (NER) 393–398 (2025)
Read paper ↗Multi-timescale compound oscillations in pyramidal neurons: insights from a three-compartment model
Nonlinear Dynamics 113(2), 1685–1712 (2025)
Read paper ↗A multi-frame network model based on time-frequency analysis for epilepsy prediction
2024 43rd Chinese Control Conference (CCC) 8262–8267 (2024)
Read paper ↗Review of Application of Neural Networks in Epileptic Seizure Prediction
Journal of Frontiers of Computer Science & Technology 17(11), 2543–2556 (2023)
Read paper ↗A multi-frame network model for predicting seizure based on sEEG and iEEG data
Frontiers in Computational Neuroscience 16, 1059565 (2022)
Joint first authors: Liangfu Lu and Feng Zhang.
Read paper ↗Education
2023.09 — Present
Tianjin University
PhD student in Control Science and Engineering
School of Automation
Research: Computational neuroscience
School of Automation
Research: Computational neuroscience
2020.09 — 2023.06
Tianjin University
MSc in Mathematics
2016.09 — 2020.06
Shanxi University
BSc in Mathematics and Applied Mathematics