Competition: Predicting Single-Neuron Behavior
Here is our competition for predicting
single-neuron behavior.
Challenge
- Is it possible to predict the timing of every spike that a neuron emits
with a precision of 2ms?
- Is it possible to predict the subthreshold membrane potential
with a precision of 2mV for arbitrary input?
A first set of annotated training
data and test stimuli have been published
by March 16 2007 and the results of the first round of submissions
was available
for the workshop on
Quantitative Neuron Modeling, June 25/26 in Lausanne on the Campus of the
EPFL .
A new data set for challenges A and B will become available
by October 2007.
Important dates (challenge of spring 2007)
- First data set available by March 16, 2007.
- Participants must submit their prediction by June 1st, 2007.
- Winner announced around June 10 .
- Winning results will be presented at the
workshop June 25/26, 2007
Competition and Prizes
The competition is run in several categories, called
A,B,C,D. Participants may run in one or several categories
- 1st prize : given to participants
having scored best in at least two categories, for example,
category A and C. Winner receives
- 2nd prize: given to participants having
scored best in one of the categories, for example, category D.
Note that there may be 0,1, or 2 first prizes.
Workshop and Competition participation
Results of the workshop will be presented at the
Quantitative Neuron Modeling workshop June 25/26, 2007 .
However, everybody is welcome to participate in the competition
without enrolling in the workshop. The competition is
an invitation to compare your results and methods
with those of other people in the field.
Poster presentation at the workshop,
requires submission of results to the competition
in at least one category. Workshop registration
is mandatory for those wishing to present a poster.
Data format
Data sets will become available by March 15 2007
Data will be available for parameter optimization (training data, input and
output given)
and prediction (test data, only input given).
We expect to have at least 4 categories:
- A: Single-electrode data from cortical neurons under
random current injection.
Stimulation is done with currents of
different means and fluctation amplitudes.
For each inpu, 4 repetitions of the same stimulus
are available so as to estimate the intrinsic reliability of neurons.
Several stimulation sets are set apart for the prediction.
Details of Challenge A
Link to
Data for Challenge A
Please submit challenge A results to renaud.jolivet@epfl.ch
matlab code for coincidence factor Gamma
- B: Single-electrode data from cortical neurons under
various current injection paradimgs.
Stimulation is done with current steps of different
amplitudes and duration.
Several input samples (step of different duration
and amplitude as well as repeated short current pulses)
will given as training data
together
with the electrophysiological measurements.
Several stimulation sets with different current
step profiles are set apart for the prediction
as well as a slow ramp stimulus. For these
the input is given, but not the measured
voltage trace.
Details of Challenge B
Link to
Data for Challenge B
Please submit challenge B results to renaud.jolivet@epfl.ch
- C: Two electrode data from cortical neurons
under random current injection at soma and dendrite.
Stimulation is done with currents of different means and fluctuation amplitudes. Some traces (input current plus measured voltage)
are given for training.
Several stimulation sets are set apart for the prediction.
Details of Challenge C .
Link to
Data for Challenge C (version 1.1/March 27)
Please submit challenge C results to arnd.roth@ucl.ac.uk
- D: More multi-electrode data
with a focus on subthreshold stimulation.
The membrane potential of a layer V pyramida neuron
was always simultaneously recorded at three locations: the soma (S1), a
distal dendritic location (D1) and a proximal dendritic location (D2).
Challenge D has opened on
April 3.
More on the data
Details of Challenge D
Link to
Data for Challenge D (version 1.0/April 3)
Please submit challenge D results to arnd.roth@ucl.ac.uk