3 papers
cs.NE2025
From Propagator to Oscillator: The Dual Role of Symmetric Differential Equations in Neural Systems
Kun Jiang
In our previous work, we proposed a novel neuron model based on symmetric differential equations and demonstrated its potential as an efficient signal propagator. Building upon tha…
q-bio.NC2025
Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems
Sohan Shankar, Yi Pan, Hanqi Jiang +43
This position and survey paper identifies the emerging convergence of neuroscience, artificial general intelligence (AGI), and neuromorphic computing toward a unified research para…
cs.NE2025
A Neural Network Training Method Based on Neuron Connection Coefficient Adjustments
Kun Jiang
In previous studies, we introduced a neural network framework based on symmetric differential equations, along with one of its training methods. In this article, we present another…