Decoding neural signals for the control of movement
by
Sara Solla(Northwestern University, USA)
→
Europe/Stockholm
RB35
RB35
Description
Neurons in primary motor cortex provide the signals that control the execution
of movements. In order to investigate the code used by this neural ensemble, we
analyze data obtained for an awake behaving monkey through an implanted
multielectrode array that records the activity of about one hundred neurons
during the execution of a sequence of reaches to nearby targets. Ensemble
activity is represented in a high-dimensional space in which each axis
represents the activity of a single neuron, but the observed correlations among
neurons whose activity is detectably modulated by the task suggest that the
population activity defines a low-dimensional space within the high-dimensional
space of independent firing activities. We have used linear and nonlinear
methods for dimensionality reduction to find the low-dimensional structure that
captures the data. The use of multidimensional scaling in conjunction with an
empirical measure of geodesic distances yields a low-dimensional manifold whose
intrinsic coordinates capture the geometry of the task in the external physical
space while reflecting the functional conectivity of the ensemble.