Neuron models serve as a foundational tool in neuroscience, artificial intelligence, and various scientific disciplines. They facilitate our understanding of neural processes and inspire computational models. This work studies neuron model with spiking patterns and its synchronization. Our investigation shows equilibrium, chaos, multi-stability, and spiking of the model. Synchronization is introduced for controlling the state of neuron, which is enlarged for promised applications.
Dynamics and Synchronization of a Neuron Model with Spiking Patterns
Grassi G.;Colella R.
2024-01-01
Abstract
Neuron models serve as a foundational tool in neuroscience, artificial intelligence, and various scientific disciplines. They facilitate our understanding of neural processes and inspire computational models. This work studies neuron model with spiking patterns and its synchronization. Our investigation shows equilibrium, chaos, multi-stability, and spiking of the model. Synchronization is introduced for controlling the state of neuron, which is enlarged for promised applications.File in questo prodotto:
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