The neuron-as-controller model was inspired by what scientists do understand about large-scale circuits in the brain made up of many neurons.

In our basic version of the model, we assume that a pair of primary neurons with spatially overlapping receptive fields provides input to the same multisensory neuron.

IN A NUTSHELL This model when inserted in neuromorphic AI networks for different applications such as data processing and automation, leads far more efficient and accurate results.

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 ...

Nearly all the neural networks that power modern artificial intelligence tools such as ChatGPT are based on a 1960s-era computational model of a living neuron. A new model developed at the Flatiron ...

Neuron models provide a non-invasive way to investigate the brain, but most existing models are either computationally intensive or cannot model complex neuronal responses.

Memristor that forgets makes a good model neuron New device mimics how neurons alter behavior once they're activated.

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 ...

As reported in Neuron on May 21, Marder's lab has built a new theoretical model to understand how cells monitor and self-regulate their properties in the face of continual turnover of cellular ...