Analysis of the Stabilized Supralinear Network

• Published in: Neural computation Vol. 25; no. 8; pp. 1994 - 2037
• Main Authors: Ahmadian, Yashar, Rubin, Daniel B., Miller, Kenneth D.
• Format: Journal Article
• Language: English
• Published: One Rogers Street, Cambridge, MA 02142-1209, USA MIT Press 01.08.2013; MIT Press Journals, The
• Subjects: Brain; Comparative analysis; Dynamics; Feedback, Physiological; Humans; Models, Neurological; Nerve Net - physiology; Neural Inhibition - physiology; Neural networks; Neural Networks (Computer); Neurons; Neurons - physiology; Nonlinear Dynamics; Visual Cortex - cytology; Visual Cortex - physiology

We study a rate-model neural network composed of excitatory and inhibitory neurons in which neuronal input-output functions are power laws with a power greater than 1, as observed in primary visual cortex. This supralinear input-output function leads to supralinear summation of network responses to...