Yet Lindsay also cautions that the new work is still only comparing a model to a model. Unfortunately, it’s currently impossible for neuroscientists to record the full input-output function of a real ...

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 ...

While neural networks solve all kinds of calculations, what can a single neuron do? Models in use for over fifty years estimate that its capabilities remain limited, and it's on this model that ...

Cerebellar granule cell and its response to a pair of 50-Hz stimuli. (A) Biological neuron. (B) Computational model used for simulation. (C) Simulated neuron. (D) Electronic neuron. The biological ...

Computational neuroscientists use an input-output function to model the relationship between the inputs received by a biological neuron’s long treelike branches, called dendrites, and the neuron ...

First, they built a model of a biological neuron (in this case, a pyramidal neuron from a rat’s cortex). The model used some 10,000 differential equations to simulate how and when the neuron would ...

In theory, of course, it should be possible to build models that capture all of a neuron's behaviors, but given the variability across individuals, this may require constructing a model for each ...

(Phys.org)—Researchers have built a new type of "neuron transistor"—a transistor that behaves like a neuron in a living brain. These devices could form the building blocks of neuromorphic ...

Scientists taught an artificial neural network to imitate a biological neuron. The result offers a new way to think about the complexity of brain cells. Skip to main content.