Long-term stability of cortical population dynamics underlying consistent behavior
Juan A. Gallego*, Matthew G. Perich*, Raeed H. Chowdhury, Sara A. Solla, Lee E. Miller.
We show how the repeated execution of a given behaviour is associated with consistent “latent” neural population activity. This preserved activity allows building brain-computer interfaces that are stable for unprecedentedly long timespans –years, instead of weeks.
Neural manifolds for the control of movement
Juan A. Gallego, Matthew G. Perich, Lee E. Miller, Sara A. Solla.
In this perspective article, we propose that cortical computation is not based on the independent modulation of the activity of single neurons, but on specific population-wide activity patterns that span a neural manifold.
A neural population mechanism for rapid learning
Matthew G. Perich, Juan A. Gallego, Lee E. Miller.
We show that monkeys learn to counteract a force perturbation applied to their arm without changing the functional connectivity among neurons. Instead of drastic plastic changes in the motor cortices, learning is associated with an adapted motor plan represented by new activity patterns within a preserved neural manifold.
Cortical population activity within a preserved neural manifold underlies multiple motor behaviors.
Juan A. Gallego, Matthew G. Perich, Stéphanie N. Naufel, Christian Ethier, Sara A. Solla, Lee E. Miller
Previous studies had shown that the relationship between the activity of individual neurons and behaviour changes quite significantly across laboratory tasks. Here, we show that, in contrast, their associated neural manifolds and the neural population dynamics within them are relatively well preserved.
Brain-controlled neuromuscular stimulation to drive neural plasticity and functional recovery
Christian Ethier*, Juan A. Gallego*, Lee E. Miller.
We discuss how appropriately patterned stimulation of neural tissue —brain, muscle or nerves—, controlled based on the user’s intent, can be used to induce adaptive neural plasticity and lasting recovery after a neurological injury.
The phase difference between neural drives to muscles in essential tremor is associated with the relative strength of supraspinal and afferent input
Juan A. Gallego, Jakob L. Dideriksen, Ales Holobar, Jaime Ibáñez, Vojko Glaser, Juan P. Romero, Julián Benito-León, José L. Pons, Eduardo Rocon, Dario Farina
Using a combination of computational models and non-invasive motoneuron population recordings, we show that spinal afferent circuits play a very important role in determining the properties of tremor in people with essential tremor.
A neuroprosthesis for tremor management through the control of muscle co-contraction
Juan A. Gallego, Eduardo Rocon, Juan M. Belda-Lois, José L. Pons.
We present a neuroprosthetic that monitored a patient’s tremor to suppress it using controlled electrical stimulation of muscles. Preclinical validation showed a decrease in tremor amplitude of fifty percent in subjects with either Parkinson’s disease or essential tremor.
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