Jonathan William Pillow

Research activity per year

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Dive into the research topics where Jonathan William Pillow is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

2 Finished
3 Active

Circuit reconstruction of functionally-identified neurons in deep brain regions: application to grid cells
Pillow, J. W.
NIH NINDS
4/1/23 → 3/31/27
Princeton University
Project: Research project
A latent variable model for quantifying social behavior in rodents
Pillow, J. W.
NIH NIMH
9/17/22 → 12/16/24
Princeton University
Project: Research project
Adaptive statistical algorithms for learning and control of neural dynamics
Pillow, J. W.
NIH NIDA
9/15/22 → 9/14/25
Princeton University
Project: Research project
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 → 9/1/20
Princeton University
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
Princeton University
Project: Research project

55 Article
23 Conference article
16 Conference contribution
3 Chapter
More

Active Learning for Discrete Latent Variable Models
Jha, A., Ashwood, Z. C. & Pillow, J. W., Mar 2024, In: Neural Computation. 36, 3, p. 437-474 38 p.
Princeton University
Research output: Contribution to journal › Letter › peer-review
Efficient Decoding of Large-Scale Neural Population ResponsesWith Gaussian-Process Multiclass Regression
Greenidge, C. D., Scholl, B., Yates, J. L. & Pillow, J. W., Jan 18 2024, In: Neural Computation. 36, 2, p. 175-226 52 p.
Princeton University
Research output: Contribution to journal › Article › peer-review

Open Access
A general framework for inferring Bayesian ideal observer models from psychophysical data
Manning, T. S., Naecker, B. N., McLean, I. R., Rokers, B., Pillow, J. W. & Cooper, E. A., Jan 2023, In: eNeuro. 10, 1
Princeton University
Research output: Contribution to journal › Article › peer-review

Open Access
A modular architecture for organizing, processing and sharing neurophysiology data
The International Brain Laboratory, Mar 2023, In: Nature Methods. 20, 3, p. 403-407 5 p.
Princeton University
Research output: Contribution to journal › Article › peer-review

Open Access
Scalable Variational Inference for Low-Rank Spatiotemporal Receptive Fields
Duncker, L., Ruda, K. M., Field, G. D. & Pillow, J. W., Jun 2023, In: Neural Computation. 35, 6, p. 995-1027 33 p.
Princeton University
Research output: Contribution to journal › Article › peer-review

Open Access

Jonathan William Pillow

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Collaborations and top research areas from the last five years

Dive into details

Circuit reconstruction of functionally-identified neurons in deep brain regions: application to grid cells

A latent variable model for quantifying social behavior in rodents

Adaptive statistical algorithms for learning and control of neural dynamics

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

Active Learning for Discrete Latent Variable Models

Efficient Decoding of Large-Scale Neural Population ResponsesWith Gaussian-Process Multiclass Regression

A general framework for inferring Bayesian ideal observer models from psychophysical data

A modular architecture for organizing, processing and sharing neurophysiology data

Scalable Variational Inference for Low-Rank Spatiotemporal Receptive Fields

Jonathan William Pillow

Fingerprint

Collaborations and top research areas from the last five years

Projects

Research output