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  Low Dimensional Dynamical Models of Neural Populations with Common Input

Archer, E. W., Pillow, J., & Macke, J. (2014). Low Dimensional Dynamical Models of Neural Populations with Common Input. Poster presented at 15th Conference of Junior Neuroscientists of Tübingen (NeNa 2014): The Changing Face of Publishing and Scientific Evaluation, Schramberg, Germany.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-322C-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0001-3488-B
Genre: Poster

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 Creators:
Archer, Evan W1, 2, Author              
Pillow, J, Author
Macke, J1, 2, Author              
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Former Research Group Neural Computation and Behaviour, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528699              

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 Abstract: Modern experimental technologies enable simultaneous recording of large neural populations. These high-dimensional data present a challenge for analysis. Recent work has focused on extracting low-dimensional dynamical trajectories that may underly such responses. Such methods enable visualization and may also provide insight into neural computations. Previous work focuses on modeling a population’s dynamics without conditioning on external stimuli. Our proposed technique integrates linear dimensionality reduction with a latent dynamical system model of neural activity. Under our model, population response is governed by a low-dimensional dynamical system with quadratic input. In this framework the number of parameters in grows linearly with population (size given fixed latent dimensionality). Hence it is computationally fast for large populations, unlike fully-connected models. Our method captures both noise correlations and low-dimensional stimulus selectivity through the simultaneous modeling of dynamics and stimulus dependence. This approach is particularly well-suited for studying the population activity of sensory cortices, where neurons often have substantial receptive field overlap.

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 Dates: 2014-10
 Publication Status: Published in print
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 Identifiers: BibTex Citekey: ArcherPM2014_3
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Title: 15th Conference of Junior Neuroscientists of Tübingen (NeNa 2014): The Changing Face of Publishing and Scientific Evaluation
Place of Event: Schramberg, Germany
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Title: 15th Conference of Junior Neuroscientists of Tübingen (NeNa 2014): The Changing Face of Publishing and Scientific Evaluation
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 22 - 22 Identifier: -