Author

Tie-Jun Huang

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Sep 2026

A Dendritic Voltage Surrogate-Based Synaptic Learning Framework for Biophysically Detailed Neurons and Networks.

A key challenge in biophysically detailed modeling is determining functionally effective synaptic weights. Here, we introduce a dendritic voltage surrogate that couples passive dendritic transfer impedances with the exact active currents computed from the original model, yielding explicit, differentiable approximations...

Gan He, Meng-Di Zhao, Kai Du et al. · Neural Computation · 0 citations

Sep 2026

Dual-Constraint Optimization of Mouse V1 Modeling: Integrating Sparsity and Excitation-Inhibition Balance for Improved Representational Similarity With DNNs.

The optimized MV1M is evaluated by comparing it with 32 ImageNet-1K pretrained deep neural networks (DNNs) across architectural families using layerwise representational similarity analysis (RSA), showing that the optimized MV1M achieves stronger representational alignment with DNNs than both randomly initialized and o...

Luntian Mou, Siqi Zhen, Peize Li et al. · IEEE Transactions on Neural... · 0 citations