Linear Decoder Analysis Applied to Multineuronal Records of Retinal Ganglion Cells

SOLETTA J; FARFÁN FD; ALBARRACIN, AL; FELICE CJ

International Journal of Engineering Research & Technology (IJERT)

ESRSA Publications Pvt. Ltd.

Año: 2016 vol. 5

Achieving a thorough understanding about theneural code is one of the neuroscientists? greatest challenges. Oneway to evaluate our current knowledge about the neural code istrying to reconstruct sensorial stimuli from neuronal responses.In spite of nowadays there are several types of decodingtechniques, few of them have been used and analyzed in actualmulti neuronal records of retinal ganglion cells. In this work, wehad employed and analyzed a linear decoder to reconstructdifferent visual stimulus, white noise scramble and naturalimage, from multi neuronal records of retinal ganglion cells. Theefficiency of the reconstruction depends on two factors: one theone hand, the type of visual stimulus, if parameters used werecalculated since white noise, scramble or natural image , and onthe other hand, the numbers of cells employed in thereconstruction.