Spiking Neural Networks (SNNs) offer a biologically inspired computational paradigm that emulates neuronal activity through discrete spike-based processing. Despite their advantages, training SNNs ...

In the present study, a modified Leaky-Integrate and Fire (LIF) neuron model termed a Hybrid Spiking Neuron (HSN) is proposed and introduced as a physics-based meta-learning solver for applications in ...

The growing energy use of AI has gotten a lot of people working on ways to make it less power hungry. One option is to develop processors that are a better match to the sort of computational needs of ...

The two-chip system includes a 16-channel photonic neuromorphic chip with 272 trainable parameters, giving it the ability to process multiple streams of optical signals at once and adjust many ...

Researchers at the Baylor College of Medicine and the Jan and Dan Duncan Neurological Research Institute at the Texas Children’s Hospital have uncovered a new cell type in the human brain. The team ...

Researchers developed a laser-based artificial neuron that fully emulates the functions, dynamics and information processing of a biological graded neuron, which could lead to new breakthroughs in ...

Based on the DA mediation, some sophisticated neuronal functions, including integration-and-firing, synaptic facilitation-induced spike broadening and DA-tunable spiking number and width, were ...

Researchers discover that disrupted neuronal microexons cause a permanent spike in cAMP signaling, driving severe hyperarousal, insomnia, and hyperactivity.