Researchers have developed a new kind of artificial neuron—called infomorphic neurons—that can independently learn and ...

The proposed propositions regarding literature studies are explained. The proposed propositions aim at establishing a successful business model taking into account neuron structure and synapsis ...

The proposed propositions regarding literature studies are explained. The proposed propositions aim at establishing a successful business model taking into account neuron structure and synapsis ...

Unfortunately, this memory structure does not work well with general purpose solvers which typically expect a contiguous state vector. NEURON gets around this problem with gather operations that ...

The brain is one of the most powerful organs in the human body, responsible for memory, decision-making, learning, and ...

Neuron-inspired processing is used by living computers to create more rapid, smarter, and more environmentally friendly ...

The brain's ability to process information is known to be supported by intricate connections between different neuron populations. A key objective of neuroscience research has been to delineate the ...

The Hodgkin-Huxley (HH) spiking neuron model reproduces the dynamic characteristics of the neuron by mimicking the action potential, ionic channels, and spiking behaviors. The memristor is a nonlinear ...

In an effort to understand how brain cells exchange chemical messages, scientists say they have successfully used a highly ...