Plasticity at the Brain-Computer Interface
Description
Next generation recurrent Brain-Computer Interfaces will not only extract signals from cortical activity but also deliver feedback to the nervous system via electrical stimulation. For example, stimulation of cervical spinal segments can produce functional arm and hand movements such as reaching and grasping. We are developing new technologies including chronic electrodes and implantable electronic circuitry to control stimulation from cortical recordings, constituting an artificial corticospinal connection which could replace injured motor pathways. I will present evidence that the motor system can readily acquire the novel neuromotor transformations required to incorporate these connections into motor system function. In separate experiments we have shown that operation of artificial connections can potentiate new motor pathways via activity-dependent plasticity mechanisms. Together, these results suggest that recurrent BCIs have application not only as prostheses to replace function, but also as tools for manipulating plastic reorganisation to restore nervous system function following injury.
| Slides | |
| 0:00 | Plasticity at the Brain-Computer Interface |
| 0:01 | Classes of Brain-Machine Interface |
| 0:38 | A Recurrent BCI for Spinal Cord Injury |
| 1:12 | Cervical intraspinal microstimulation (cISMS) (1) |
| 2:31 | Cervical intraspinal microstimulation (cISMS) (2) |
| 3:08 | cISMS – Effect of stimulus intensity |
| 4:28 | cISMS – Effect of stimulus frequency |
| 5:36 | Modeling spinal input-output transformations (1) |
| 6:23 | Modeling spinal input-output transformations (2) |
| 6:56 | cISMS – Documenting motor output |
| 7:30 | Sinusoidal grip force produced by cISMS |
| 8:09 | ‘Twin peaks’ |
| 8:33 | Sinusoidal arm movements produced by cISMS |
| 9:05 | Two channel cISMS – Reach and grasp |
| 9:42 | Towards a chronic cISMS implant – flexible electrodes: (1) |
| 10:01 | Towards a chronic cISMS implant – flexible electrodes: (2) |
| 10:32 | A Recurrent BCI for Spinal Cord Injury |
| 10:46 | Two approaches to Brain-Computer Interfaces… |
| 13:03 | Myoelectric control of a computer cursor (1) |
| 13:23 | Myoelectric control of a computer cursor (2) |
| 13:55 | Myoelectric control of a computer cursor (3) |
| 16:06 | Learning unnatural motor patterns |
| 16:40 | Tuning functions for distal and proximal muscles |
| 17:35 | Correlations between muscles during MCI learning |
| 18:49 | Examples of successful human-device interfaces: |
| 20:06 | Neural control of FES (1) |
| 21:07 | Neural control of FES (2) |
| 22:27 | A Recurrent BCI for Spinal Cord Injury |
| 22:45 | Activity-dependent plasticity and R-BCIs |
| 24:06 | The Neurochip: a recurrent Brain-Computer Interface |
| 24:33 | Neural and EMG recording with a Neurochip |
| 24:41 | Various time-scales of Neurochip recording |
| 25:16 | Long-term motor plasticity induced by a cortical R-BCI (1) |
| 26:36 | Long-term motor plasticity induced by a cortical R-BCI (2) |
| 26:57 | Conclusions |
| 27:38 | A dual mechanism for motor rehabilitation with R-BCIs? |
| 28:57 | Acknowledgements: |
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