Name
Title | ||
|---|---|---|
Inferring neural population dynamics from multiple partial recordings of the same neural circuit. |
Abstract | ||
|---|---|---|
Simultaneous recordings of the activity of large neural populations are extremely valuable as they can be used to infer the dynamics and interactions of neurons in a local circuit, shedding light on the computations performed. It is now possible to measure the activity of hundreds of neurons using 2-photon calcium imaging. However, many computations are thought to involve circuits consisting of thousands of neurons, such as cortical barrels in rodent somatosensory cortex. Here we contribute a statistical method for stitching" together sequentially imaged sets of neurons into one model by phrasing the problem as fitting a latent dynamical system with missing observations. This method allows us to substantially expand the population-sizes for which population dynamics can be characterized---beyond the number of simultaneously imaged neurons. In particular, we demonstrate using recordings in mouse somatosensory cortex that this method makes it possible to predict noise correlations between non-simultaneously recorded neuron pairs." |
Year | Venue | Field |
|---|---|---|
2013 | NIPS | Population,Image stitching,Computer science,Calcium imaging,Artificial intelligence,Somatosensory system,Electronic circuit,Neuron,Machine learning,Dynamical system,Computation |
DocType | Citations | PageRank |
Conference | 8 | 0.57 |
References | Authors | |
8 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Srinivas C. Turaga | 1 | 127 | 23.75 |
| Lars Buesing | 2 | 248 | 16.50 |
| Packer, Adam M. | 3 | 20 | 2.02 |
| Dalgleish, Henry | 4 | 19 | 1.65 |
| Pettit, Noah | 5 | 19 | 1.65 |
| Michael Häusser | 6 | 84 | 7.99 |
| Jakob H Macke | 7 | 158 | 14.15 |