Jonathan William Pillow

Psychology

Former affiliations

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

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2 Finished

The Application of Generalized Linear Models to Calcium Imaging Data for Optimal High-Dimensional Receptive Field Estimation and Identification of Latent Network Dynamics
Pillow, J. W.
NIH NIMH
10/1/17 → 9/27/20
Project: Research project
CAREER: Unlocking the Neural Code with Spikes, Currents and Conductances
Pillow, J. W.
NSF - National Science Foundation
6/1/15 → 8/31/17
Project: Research project

3414 Citations
26 h-Index
42 Article
20 Conference article
10 Conference contribution
3 Chapter
More

Extracting the dynamics of behavior in sensory decision-making experiments
The International Brain Laboratory, Feb 17 2021, In: Neuron. 109, 4, p. 597-610.e6
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
A simple linear readout of MT supports motion direction-discrimination performance
Yates, J. L., Katz, L. N., Levi, A. J., Pillow, J. W. & Huk, A. C., Feb 2020, In: Journal of neurophysiology. 123, 2, p. 682-694 13 p.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Author Correction: Unsupervised identification of the internal states that shape natural behavior (Nature Neuroscience, (2019), 22, 12, (2040-2049), 10.1038/s41593-019-0533-x)
Calhoun, A. J., Pillow, J. W. & Murthy, M., Feb 1 2020, In: Nature neuroscience. 23, 2, p. 293 1 p.
Research output: Contribution to journal › Comment/debate › peer-review

Open Access
1 Scopus citations
Modeling statistical dependencies in multi-region spike train data
Keeley, S. L., Zoltowski, D. M., Aoi, M. C. & Pillow, J. W., Dec 2020, In: Current Opinion in Neurobiology. 65, p. 194-202 9 p.
Research output: Contribution to journal › Review article › peer-review
Poisson balanced spiking networks
Rullán Buxó, C. E. & Pillow, J. W., Nov 20 2020, In: PLoS computational biology. 16, 11, e1008261.
Research output: Contribution to journal › Article › peer-review

Open Access

The Application of Generalized Linear Models to Calcium Imaging Data for Optimal High-Dimensional Receptive Field Estimation and Identification of Latent Network Dynamics

CAREER: Unlocking the Neural Code with Spikes, Currents and Conductances

Extracting the dynamics of behavior in sensory decision-making experiments

A simple linear readout of MT supports motion direction-discrimination performance

Author Correction: Unsupervised identification of the internal states that shape natural behavior (Nature Neuroscience, (2019), 22, 12, (2040-2049), 10.1038/s41593-019-0533-x)

Modeling statistical dependencies in multi-region spike train data

Poisson balanced spiking networks