Patent Application: Deep brain stimulation

Weerasinghe G

Scientific Abstract

There is provided a method of generating deep brain stimulation signals, the method comprising receiving a plurality of sensor signals from a corresponding plurality of sensors on or in a subject, and using the received sensor signals to generate a plurality of stimulation signals for application at a corresponding plurality of target sites in the brain of the subject. There is further provided a method of generating stimulation signals, the method comprising receiving a plurality of sensor signals from a corresponding plurality of sensors on or in a subject, and using the received sensor signals to generate a plurality of stimulation signals for application at a corresponding plurality of target sites on or in the subject using a model of the response of neurons in the subject to the stimulation signals that models neural tissue as a plurality of coupled populations of neurons.

Similar content

Preprint
Liebana Garcia S, Laffere A, Toschi C, Schilling L, Podlaski J, Fritsche M, Zatka-Haas P, Li Y, Bogacz R, Saxe A, Lak A

Striatal dopamine reflects individual long-term learning trajectories

Preprint
Pinchetti L, Qi C, Lokshyn O, Oliviers G, Emde C, Tang M, M'Charrak A, Frieder S, Menzat B, Bogacz R, Lukasiewicz T, Salvatori T

Benchmarking Predictive Coding Networks -- Made Simple

Patent Application: Deep brain stimulation

Weerasinghe G

Scientific Abstract

There is provided a method of generating deep brain stimulation signals, the method comprising receiving a plurality of sensor signals from a corresponding plurality of sensors on or in a subject, and using the received sensor signals to generate a plurality of stimulation signals for application at a corresponding plurality of target sites in the brain of the subject. There is further provided a method of generating stimulation signals, the method comprising receiving a plurality of sensor signals from a corresponding plurality of sensors on or in a subject, and using the received sensor signals to generate a plurality of stimulation signals for application at a corresponding plurality of target sites on or in the subject using a model of the response of neurons in the subject to the stimulation signals that models neural tissue as a plurality of coupled populations of neurons.

Citation

2022. WO/2022/029445

Downloads

View PDF (4MB)

Similar content

Preprint
Liebana Garcia S, Laffere A, Toschi C, Schilling L, Podlaski J, Fritsche M, Zatka-Haas P, Li Y, Bogacz R, Saxe A, Lak A

Striatal dopamine reflects individual long-term learning trajectories

Preprint
Pinchetti L, Qi C, Lokshyn O, Oliviers G, Emde C, Tang M, M'Charrak A, Frieder S, Menzat B, Bogacz R, Lukasiewicz T, Salvatori T

Benchmarking Predictive Coding Networks -- Made Simple