Neural activity helps circuit connections mature into optimal signal transmitters

Nervous system functions, from motion to perception to cognition, depend on the active zones of neural circuit connections ...
IEEE

FPGA Implementation of Fractional-Order Hopfield Neural Network With Multi-Activation Functions

Abstract: To enable accurate and resource-efficient hardware implementation of fractional-order neural networks for neuromorphic computing, an optimized hardware architecture for field programmable ...
Frontiers

HyReti-Net: hybrid retinal diseases classification and diagnosis network using optical coherence tomography

Background: With optical coherence tomography (OCT), doctors are able to see cross-sections of the retinal layers and diagnose retinal diseases. Computer-aided diagnosis algorithms such as ...
IEEE

Geometry-Informed Neural Operator with Learnable Activation Functions for Electric Field Integral Equations of 3-D PEC Targets

Abstract: In this article, a geometry-informed neural operator with learnable activation functions is proposed. It incorporates a data-driven approach for solving the electric field integral equation ...

Penny Liang: Understanding Large Models for Humanities Students (1.0)

Penny Liang's book, "Understanding Large Models for Humanities Students (1.0)," explains the core technologies of large models from a simplified perspective. It breaks down complex concepts from the ...