Princeton scientists uncover how brain cells coordinate decisions, offering insight into mental health and cognitive function.

Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like telling a leaf apart from a rock. But they have struggled to build ...

Those experiments are underway." More information: An organ-chip model of sporadic ALS using iPSC-derived spinal cord motor neurons and an integrated blood brain-like barrier, Cell Stem Cell (2025).

A new approach to unsupervised learning in a single-layer neural network is discussed. An algorithm for unsupervised learning based upon the Hebbian learning rule is presented. A simple neuron model ...

Large Language Models (LLMs) have transformed Artificial Intelligence (AI) by generating human-like text and solving complex ...

Ultimately, the big takeaway for ML researchers is that before proclaiming an AI milestone—or obituary—make sure the test itself isn’t flawed ...

A new paper from Apple has reported some worrying results for the future of do-it-all artificial intelligence, showing that the accuracy of even advanced modern AI models absolutely craters in ...

In short, getting stumped by simple children's games isn't exactly what you'd expect from AI models being sold as the next breakthrough in problem-solving and a step toward artificial general ...

Most dynamical models introduced in the past were linear, which means that they assumed that changes in neural activity would follow a simple structure. While linear models tend to be easier to ...

Spiking neuron models are inspired by biological neurons. They can simulate the neuronal activities of the mammalian brains, such as spiking (integrator) and periodic oscillation (resonator). A ...

Reprint: R0711C Many executives are surprised when previously successful leadership approaches fail in new situations, but different contexts call for different kinds of responses. Before ...