The study shows the Izhikevich neuron model allows the simulation of both periodic and quasi-periodic responses in neurons at lower computational cost. Studying how brain cells respond to signals from ...

A collaboration between SISSA's Physics and Neuroscience groups has taken a step forward in understanding how memories are ...

Weill Cornell Medicine scientists have developed an innovative human neuron model that robustly simulates the spread of tau protein aggregates in the brain - a process that drives cognitive decline in ...

Weill Cornell Medicine scientists have developed an innovative human neuron model that robustly simulates the spread of tau protein aggregates in the brain—a process that drives cognitive decline in ...

In a previous article, we explored the Strong Artificial Intelligence Hypothesis, first presenting a low-level description based on the notion of a neural network (bottom-up framework). In this work, ...

A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural network.

The new model developed by Flatiron Institute researchers proposes that biological neurons have more control over their surroundings than previously thought, something that could be replicated in the ...

The spread of tau protein aggregates in the brain—a process that drives cognitive decline in Alzheimer’s disease and frontotemporal dementia—has been studied with a model that incorporates human ...

Our mushy brains seem a far cry from the solid silicon chips in computer processors, but scientists have a long history of comparing the two. As Alan Turing put it in 1952: “We are not interested in ...