Where does information about brightness reside in these waveforms?
How well does such information transfer from photoreceptor graded potentials to optic nerve spike potentials?
These are the kinds of questions we study. Recently, we have been looking at the statistical properties of these neural signals to characterize decisions objectively. To do this, we need to put the two types of neural signals in a comparable form. The next figure shows how the frequency of a spike train is represented by a graded waveform whose amplitude is determined by the reciprocals of the intervals between spikes.
Now we can ask: How well do different features of these responses represent information about the light flashes that evoke them?
Password: your e-mail address
ftp> cd pub/neuroprose
ftp> get wasserman.mult_mean.ps.Z
%lpr -s wasserman.mult_mean.ps
If the printer for this job resides on a remote machine, this large
(i.e., graphics-intensive) file may require that an operator issue the
print command directly from the remote console.