Nonlinear decoding of natural images from large-scale primate retinal ganglion recordings

Nonlinear decoding of natural images from large-scale primate retinal ganglion recordings

Decoding sensory stimuli from neural activity can provide insight into how the nervous system might interpret the physical environment, and facilitates the development of brain-machine interfaces. Nevertheless, the neural decoding problem remains a significant open challenge. Here, we present an eff...

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Bibliographic Details
Main Authors: Batty, E. (Author), Brackbill, N. (Author), Chichilnisky, E.J (Author), Kim, Y.J (Author), Lee, J. (Author), Mitelut, C. (Author), Paninski, L. (Author), Tong, W. (Author)
Format: Article
Language:English
Published: MIT Press Journals 2021
Subjects:
Aldehydes
animal
Animals
Brain
brain computer interface
Brain computer interface
Brain machine interface
Brain-Computer Interfaces
Decoding
Large population
Macaca
Neural Networks, Computer
Neurons
Nonlinear computations
Non-linear methods
Nonlinear techniques
Ophthalmology
Physical environments
retina
Retina
retina ganglion cell
Retinal ganglion cells
Retinal Ganglion Cells
Spatial features
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