3 papers
cs.NE2026
General Self-Prediction Enhancement for Spiking Neurons
Zihan Huang, Zijie Xu, Yihan Huang +7
Spiking Neural Networks (SNNs) are highly energy-efficient due to event-driven, sparse computation, but their training is challenged by spike non-differentiability and trade-offs a…
q-bio.NC2024
Implementing feature binding through dendritic networks of a single neuron
Yuanhong Tang, Shanshan Jia, Tiejun Huang +2
A single neuron receives an extensive array of synaptic inputs through its dendrites, raising the fundamental question of how these inputs undergo integration and summation, culmin…
q-bio.NC2024
Deep Learning for Visual Neuroprosthesis
Peter Beech, Shanshan Jia, Zhaofei Yu +1
The visual pathway involves complex networks of cells and regions which contribute to the encoding and processing of visual information. While some aspects of visual perception are…