Using persistent homology to reveal hidden information in neural data
Event details
| Date | 16.10.2015 |
| Hour | 14:00 › 15:00 |
| Speaker | Gard Spreeman (NTNU) |
| Location |
Campus Biotech, Building B1, 6th floor
|
| Category | Conferences - Seminars |
Mammalian navigation is aided by place cells, which are neurons that
fire preferentially when the animal is in certain regions of space. It
is known that the firing activities of these and related neurons are
not governed solely by spatial position, but also by head direction,
theta wave phase, sensory stimuli, etc., and probably also by further
unknown influences. Such covariates are thought of as being reflected
in the animal's "state space", and knowledge of its topological
properties can reveal hidden information about a priori unknown
covariates.
We propose a method wherein an approximation of such a state space is
built from spike train recordings of neurons. Persistent homology is
then used to reveal properties of the space. Through an inference
process, we remove the contributions of known covariates to the spike
trains, and thus to the reconstructed stace space. After all known
covariates have been accounted for, persistent homology reveals
properties of any potential remaining unknown ones.
fire preferentially when the animal is in certain regions of space. It
is known that the firing activities of these and related neurons are
not governed solely by spatial position, but also by head direction,
theta wave phase, sensory stimuli, etc., and probably also by further
unknown influences. Such covariates are thought of as being reflected
in the animal's "state space", and knowledge of its topological
properties can reveal hidden information about a priori unknown
covariates.
We propose a method wherein an approximation of such a state space is
built from spike train recordings of neurons. Persistent homology is
then used to reveal properties of the space. Through an inference
process, we remove the contributions of known covariates to the spike
trains, and thus to the reconstructed stace space. After all known
covariates have been accounted for, persistent homology reveals
properties of any potential remaining unknown ones.
Practical information
- Informed public
- Free
Organizer
- Kathryn Hess