Dr. Jonathan Pillow

Professor

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Biography

Jonathan Pillow is a Professor at the Princeton Neuroscience Institute, where he operates at the intersection of computational neuroscience and statistical machine learning. His research focuses on developing statistical tools for interpreting high-dimensional neural datasets. Pillow's collaborative work with experimentalists delves into neural encoding and decoding, aiming to understand how neurons process and transmit information through spike trains. He is also invested in uncovering the theoretical principles that govern the brain's design and its sensory systems. Pillow's contributions to the field include significant publications that address topics such as the dynamics of spiking responses in neurons, model-based approaches to dimensionality reduction in neuronal population data, and the analysis of neural variability. Through his research, he seeks to deepen the understanding of the brain's learning and decision-making processes.

Research Interests

Requirements for Princeton University

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE General
TOEFL
Speaking
Required:27
IELTS
Speaking
Required:8
Prerequisites
Bachelor's degree in engineering or science Strong background in mathematics, materials, physics, or related engineering
Application Checklist
  • Academic Statement of Purpose
  • Personal Statement
  • Resume/CV
  • Three Letters of Recommendation
  • Transcripts
  • Application Fee
Specialization Notes

GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.