Control of a robotic prosthesis simulation by a closed-loop intracortical brain-machine interface

Closed-loop brain-machine interfaces may help restore the autonomy of amputees and tetraplegic patients. However, additional efforts are needed towards their real-world use with prostheses. Here we have interfaced a highly versatile closed-loop mouse BMI with an online model of a real-world prosthetic arm. We describe this setup and illustrate how it allows to explore the efficiency of different input and output coding strategies given a realistic modelling of the interactions between a commercial bidirectional prosthesis and its environment.

[1]  Kazuo Hiraki,et al.  Decrease in prefrontal hemoglobin oxygenation during reaching tasks with delayed visual feedback: a near-infrared spectroscopy study. , 2004, Brain research. Cognitive brain research.

[2]  Dorian Goueytes,et al.  A fast intracortical brain–machine interface with patterned optogenetic feedback , 2018, Journal of neural engineering.

[3]  Francis R. Willett,et al.  Restoration of reaching and grasping in a person with tetraplegia through brain-controlled muscle stimulation: a proof-of-concept demonstration , 2017, The Lancet.

[4]  Nicholas G Hatsopoulos,et al.  Improving brain–machine interface performance by decoding intended future movements , 2013, Journal of neural engineering.

[5]  Joseph E O'Doherty,et al.  A learning–based approach to artificial sensory feedback leads to optimal integration , 2014, Nature Neuroscience.

[6]  Allan R. Jones,et al.  A toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing , 2012, Nature Neuroscience.

[7]  R L Sainburg,et al.  Control of limb dynamics in normal subjects and patients without proprioception. , 1995, Journal of neurophysiology.

[8]  M. Jeannerod,et al.  Sense of body and sense of action both contribute to self-recognition , 2002, Cognition.

[9]  Sliman Bensmaia Biological and bionic hands: Natural neural coding and artificial perception , 2015, World Haptics.

[10]  Aaron C. Koralek,et al.  Volitional Modulation of Primary Visual Cortex Activity Requires the Basal Ganglia , 2018, Neuron.

[11]  Nicolas Y. Masse,et al.  Reach and grasp by people with tetraplegia using a neurally controlled robotic arm , 2012, Nature.

[12]  Surya P. N. Singh,et al.  V-REP: A versatile and scalable robot simulation framework , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.