PROJECT TITLE :

Real-Time Emulator for Reproducing Graded Potentials in Vertebrate Retina

ABSTRACT:

In most elements of the retina, neuronal circuits process visual signals represented by slowly changing membrane potentials, or therefore-referred to as graded potentials. A possible approach to invest regarding the purposeful roles of retinal neuronal circuits is to reproduce the graded potentials of retinal neurons in response to natural scenes. In this study, we developed a simulation platform for reproducing graded potentials with the following features: real-time reproduction of retinal neural activities in response to natural scenes, a configurable model structure, and compact hardware. The spatio-temporal properties of neurons were emulated efficiently by a mixed analog-digital design that consisted of analog resistive networks and a field-programmable gate array. The neural activities on sustained and transient pathways were emulated from 128 × 128 inputs at two hundred frames per second.


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