Donald
Katz and
József
Fiser presently use multielectrode arrays to record
from many neurons at once in behaving rodents.Not surprisingly,
these studies illustrate that many of the simplest models
of sensory encoding need to be significantly revised in
light of data from awake animals. The analysis of data
from multielectrode arrays in behaving animals requires
knowledge of high level statistical tools, spike sorting
and classification methods. Most of the newer algorithms
now applied to these kinds of signals have been written
and implemented by physicists and engineers, and IGERT
trainees are ideally suited to handle the quantitatively
intensive features of the statistics of neural spike trains.
