Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.

Figure 1: Delay-period activity recorded in the prefrontal cortex (PFC) in vivo. Activity may be maintained in a neural network through recurrent excitation. This idea underlies the Hopfield model 27 ...

Researchers studying how large AI models such as ChatGPT learn and remember information have discovered that their memory and ...

A new project led by the UC Davis Center for Neuroscience will use brain imaging data to build a computer model of complex memory formation. Brain images by Charan Ranganath, Center for Neuroscience.

Alzheimer's disease (AD), the leading cause of dementia, affects nearly 40 million individuals globally, resulting in a ...

What if a model could forget without losing its mind?” That question now has a technical foothold, thanks to new research ...

The rapid advancement of artificial intelligence (AI) is driving unprecedented demand for high-performance memory solutions.

Recognition memory research encompasses a diverse range of models and decision processes that characterise how individuals differentiate between previously encountered stimuli and novel items. At the ...

Most electronics systems use memory components either for storing executable software or for storing data, and therefore the availability of accurate memory models is fundamental to most functional ...

The five senses. Credit: Modified by Nicolas Posunko/Skoltech from image generated by Deep Style (Abstract) model on Deep Dream Generator. Photo/Supplied. Skoltech scientists have devised a ...

The agentic AI revolution—or age of reasoning—demands memory architectures match persistent, contextual collaboration.

Down syndrome is the most common genetic cause of intellectual disability, and currently there is no effective treatment. Memory deficits are a hallmark of this condition and a study published today ...