Researchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural ... with a multisection ...

Digging through IMS 2025’s technical sessions unearthed some insights into the microwave industry’s research inclinations, which in turn provide a look into the future.

Organizations’ critical need to take an integrated approach to their AI deployments With the ever-present hype and buzz ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

A biphasic structural plasticity rule interacts with homeostatic synaptic scaling to maintain firing rate homeostasis in neural networks.

A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN ...

This change is used as an output signal, so such structures work like artificial neurons in a neural network," said Alexey Kavokin. The architecture proposed by St. Petersburg State University ...

In a comprehensive Genomic Press Interview published in Brain Medicine, Dr. Michael C. Oldham shares his unconventional journey from advertising executive to computational neuroscientist and his ...