An integrated spiking artificial neuron, with rich neuron functionality, single-transistor footprints, and low energy consumption for neuromorphic computing systems, can be created by stacking one diffusive memristor and one resistor on top of a transistor. The photograph on the cover shows the chip of an array of these integrated neurons, which are fabricated in the university’s cleanroom and have an active region of around 4 μm2 for each neuron. Credit: The Yang Lab at USC
Researchers at the USC Viterbi School of Engineering and School of Advanced Computing have developed artificial neurons that replicate the complex electrochemical behavior of biological brain cells.
The innovation, documented in Nature Electronics, is a leap forward in neuromorphic computing technology...
The top half of this image depicts the proposed artificial synapse made using dye-sensitized solar cells. The plot shows the bipolar voltage response of the synapse depending on the wavelength of light used, which mimics how our eyes perceive the world and enables logic operations. The bottom half of the image shows an experiment in which the proposed system was used to capture and classify various human movements. Credit: Associate Professor Takashi Ikuno from Tokyo University of Science, adapted from Scientific Reports (2025). DOI: 10.1038/s41598-025-00693-0
As artificial intelligence and smart devices continue to evolve, machine vision is taking an increasingly pivotal role as a key enabler of modern technologies...
Creating brain-like computers with minimal energy requirements, known as neuromorphic computing, would revolutionize nearly every aspect of modern life. (cr: iStock)
We often believe computers are more efficient than humans. After all, computers can complete a complex math equation in a moment and can also recall the name of that one actor we keep forgetting. However, human brains can process complicated layers of information quickly, accurately, and with almost no energy input: recognizing a face after only seeing it once or instantly knowing the difference between a mountain and the ocean. These simple human tasks require enormous processing and energy input from computers, and even then, with varying degrees of accuracy.
Creating brain-like computers with minimal energy requireme...
First artificial synapse that reproduces learning during sleep. Universitat Autònoma de Barcelona researchers have developed a magnetic material capable of imitating the way the brain stores information. The material makes it possible to emulate the synapses of neurons and mimic, for the first time, the learning that occurs during deep sleep.
Neuromorphic computing is a new computing paradigm in which the behavior of the brain is emulated by mimicking the main synaptic functions of neurons. Among these functions is neuronal plasticity: the ability to store information or forget it depending on the duration and repetition of the electrical impulses that stimulate neurons, a plasticity that would be linked to learning and memory.
Among the materials that mimic neuron synapses, me...
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