Translating image sequences into spike patterns for cortical neuro-stimulation

FJ Pelayo, S Romero, CA Morillas, A Martı́nez, E Ros… - Neurocomputing, 2004 - Elsevier
FJ Pelayo, S Romero, CA Morillas, A Martı́nez, E Ros, E Fernández
Neurocomputing, 2004Elsevier
This paper describes a bioinspired preprocessing and coding system devised for producing
optimal multi-electrode stimulation at the cortical level, starting from image sequences and
working at video rates. A hybrid platform with software and reconfigurable hardware delivers
a continuously varying stream of pulses or spike patterns. The main objective of this work is
to build a portable system for a visual neuro-prosthesis to stimulate efficiently an array of
intra-cortical implanted microelectrodes. A set of parameters can be adjusted in the …
This paper describes a bioinspired preprocessing and coding system devised for producing optimal multi-electrode stimulation at the cortical level, starting from image sequences and working at video rates. A hybrid platform with software and reconfigurable hardware delivers a continuously varying stream of pulses or spike patterns. The main objective of this work is to build a portable system for a visual neuro-prosthesis to stimulate efficiently an array of intra-cortical implanted microelectrodes. A set of parameters can be adjusted in the processing and spike-coding modules to trade-off their technology constraints with the biological plausibility of their functional features.
Elsevier