--------Ongoing
Studies--------------------
Q: how to characterize IT neurons ?
A: 3 steps:
1) Experiment: Measure IT Neuron responses:
Single cell acute recordings
2) Computational Work: Neuron model =
Image Fragment Model response computed by non-linear correlation techniques
3) Find best fragment with an extensive search through a large set of fragments (~100,000) to
find the image fragment that best explains the neural response.
Q: Does the method work well ?
A: Work in progress: developing the algorithm, in particular the non-linear correlation techniques. However, successfully tested in pilot V1 experiments.
E. An Image Fragment Approach for the Characterization
of Inferotemporal Neurons.
Michel Vidal-Naquet, Shimon Ullman
Q: how to characterize IT neurons ?
A: 3 steps:
1) Experiment: Measure IT Neuron responses:
Single cell acute recordings
2) Computational Work: Neuron model =
Image Fragment Model response computed by non-linear correlation techniques
3) Find best fragment with an extensive search through a large set of fragments (~100,000) to
find the image fragment that best explains the neural response.
Q: Does the method work well ?
A: Work in progress: developing the algorithm, in particular the non-linear correlation techniques. However, successfully tested in pilot V1 experiments.
