The Sigmoid Nonlinearity in Prepyriform Cortex
–Neural Information Processing Systems
This relationship takes the form of a sigmoid curve, that describes normalized pulse-output for normalized wave input. The curve is fitted using nonlinear regression and is described by its slope and maximum value. Measurements were made for both excitatory and inhibitory neurons in the cortex. These neurons are known to form a monosynaptic negative feedback loop. Both classes of cells can be described by the same parameters. The sigmoid curve is asymmetric in that the region of maximal slope is displaced toward the excitatory side.
Neural Information Processing Systems
Dec-31-1988
- Country:
- North America > United States > California > Alameda County > Berkeley (0.14)
- Genre:
- Research Report > Experimental Study > Negative Result (0.47)
- Technology: