Maximum entropy models as a tool for building precise neural controls

C. Savin, G. Tkacik, Current Opinion in Neurobiology 46 (2017) 120–126.

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Journal Article | Published | English
Department
Abstract
Neural responses are highly structured, with population activity restricted to a small subset of the astronomical range of possible activity patterns. Characterizing these statistical regularities is important for understanding circuit computation, but challenging in practice. Here we review recent approaches based on the maximum entropy principle used for quantifying collective behavior in neural activity. We highlight recent models that capture population-level statistics of neural data, yielding insights into the organization of the neural code and its biological substrate. Furthermore, the MaxEnt framework provides a general recipe for constructing surrogate ensembles that preserve aspects of the data, but are otherwise maximally unstructured. This idea can be used to generate a hierarchy of controls against which rigorous statistical tests are possible.
Publishing Year
Date Published
2017-10-01
Journal Title
Current Opinion in Neurobiology
Volume
46
Page
120 - 126
ISSN
IST-REx-ID

Cite this

Savin C, Tkacik G. Maximum entropy models as a tool for building precise neural controls. Current Opinion in Neurobiology. 2017;46:120-126. doi:10.1016/j.conb.2017.08.001
Savin, C., & Tkacik, G. (2017). Maximum entropy models as a tool for building precise neural controls. Current Opinion in Neurobiology, 46, 120–126. https://doi.org/10.1016/j.conb.2017.08.001
Savin, Cristina, and Gasper Tkacik. “Maximum Entropy Models as a Tool for Building Precise Neural Controls.” Current Opinion in Neurobiology 46 (2017): 120–26. https://doi.org/10.1016/j.conb.2017.08.001.
C. Savin and G. Tkacik, “Maximum entropy models as a tool for building precise neural controls,” Current Opinion in Neurobiology, vol. 46, pp. 120–126, 2017.
Savin C, Tkacik G. 2017. Maximum entropy models as a tool for building precise neural controls. Current Opinion in Neurobiology. 46, 120–126.
Savin, Cristina, and Gasper Tkacik. “Maximum Entropy Models as a Tool for Building Precise Neural Controls.” Current Opinion in Neurobiology, vol. 46, Elsevier, 2017, pp. 120–26, doi:10.1016/j.conb.2017.08.001.

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