modelling

Two-compartment neuronal spiking model expressing brain-state specific apical-amplification,-isolation and-drive regimes
Experimental evidence suggests that brain-state-specific neural mechanisms play a crucial role in integrating past and contextual knowledge with current sensory information, operating across multiple spatial and temporal scales. A new two-compartment spiking neuron model has been developed to support brain-state-specific learning, incorporating features such as apical amplification and isolation, and utilizing a piece-wise linear transfer function to make it suitable for large-scale bio-inspired artificial intelligence systems.
Elena Pastorelli, Alper Yegenoglu, Nicole Kolodziej, Willem Wybo, Francesco Simula, Sandra Diaz, Johan Frederik Storm, Pier Stanislao Paolucci
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