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q-bio.NC2026

Front-end and Back-end Computational Modeling of 40-Hz Auditory Steady-State Response Abnormalities in Schizophrenia

Wenjun Xia, Yan Xu, Zhengdi Zhang

40-Hz ASSR is reduced in schizophrenia, but it is unclear if this reflects altered auditory input or cortical E/I dynamics. We hypothesized that similar group differences could ari…

q-bio.NC2026

Real-time fall detection based on vision for low-power edge platforms

Wenjun Xia, Zhicheng Peng, Haopeng Li +1

Falling detection is vital for elderly care and intelligent surveillance; however, prevailing vision-based approaches predominantly frame it as static pose classification or discre…

q-bio.NC2026

Single-Node Wilson--Cowan Model Accounts for Speech-Evoked -Band Deficits in Schizophrenia

Zhengdi Zhang, Yan Xu, Wenjun Xia

Cortical gamma ()-band activity reflects local excitation-inhibition (E/I) balance. In schizophrenia (SCZ), reduced task-evoked gamma suggests altered E/I dynamics, but it is un…

q-bio.NC2026

Audio Outperforms Text for Visual Decoding

Zhengdi Zhang, Hao Zhang, Wenjun Xia

Decoding visual semantic representations from human brain activity is a significant challenge. While recent zero-shot decoding approaches have improved performance by leveraging al…

q-bio.NC2026

Classification Accuracy of Minimal Spiking Neural Networks Follows a Log-Reciprocal Function

Zhengdi Zhang, Cong Han, Wenjun Xia

We investigate classification accuracy in minimal LIF-based spiking neural networks, examining its dependence on neuron count, stimulus nodes, and category number. Using an LLM to…