Estimating nonlinear neural response functions using GP priors and Kronecker methods

C. Savin, G. Tkacik, in:, Neural Information Processing Systems, 2016, pp. 3610–3618.

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Conference Paper | Published | English
Department
Series Title
Advances in Neural Information Processing Systems
Abstract
Jointly characterizing neural responses in terms of several external variables promises novel insights into circuit function, but remains computationally prohibitive in practice. Here we use gaussian process (GP) priors and exploit recent advances in fast GP inference and learning based on Kronecker methods, to efficiently estimate multidimensional nonlinear tuning functions. Our estimator require considerably less data than traditional methods and further provides principled uncertainty estimates. We apply these tools to hippocampal recordings during open field exploration and use them to characterize the joint dependence of CA1 responses on the position of the animal and several other variables, including the animal\'s speed, direction of motion, and network oscillations.Our results provide an unprecedentedly detailed quantification of the tuning of hippocampal neurons. The model\'s generality suggests that our approach can be used to estimate neural response properties in other brain regions.
Publishing Year
Date Published
2016-12-01
Acknowledgement
We thank Jozsef Csicsvari for kindly sharing the CA1 data. This work was supported by the People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme(FP7/2007-2013) under REA grant agreement no. 291734.
Volume
29
Page
3610-3618
Conference
NIPS: Neural Information Processing Systems
Conference Location
Barcelona; Spain
Conference Date
2016-12-05 – 2016-12-10
IST-REx-ID

Cite this

Savin C, Tkacik G. Estimating nonlinear neural response functions using GP priors and Kronecker methods. In: Vol 29. Neural Information Processing Systems; 2016:3610-3618.
Savin, C., & Tkacik, G. (2016). Estimating nonlinear neural response functions using GP priors and Kronecker methods (Vol. 29, pp. 3610–3618). Presented at the NIPS: Neural Information Processing Systems, Barcelona; Spain: Neural Information Processing Systems.
Savin, Cristina, and Gasper Tkacik. “Estimating Nonlinear Neural Response Functions Using GP Priors and Kronecker Methods,” 29:3610–18. Neural Information Processing Systems, 2016.
C. Savin and G. Tkacik, “Estimating nonlinear neural response functions using GP priors and Kronecker methods,” presented at the NIPS: Neural Information Processing Systems, Barcelona; Spain, 2016, vol. 29, pp. 3610–3618.
Savin C, Tkacik G. 2016. Estimating nonlinear neural response functions using GP priors and Kronecker methods. NIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 29. 3610–3618.
Savin, Cristina, and Gasper Tkacik. Estimating Nonlinear Neural Response Functions Using GP Priors and Kronecker Methods. Vol. 29, Neural Information Processing Systems, 2016, pp. 3610–18.

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