Team

Staff Profiles

Yazan N. Billeh, Ph.D.

Scientist II

Yazan Billeh joined the Allen Institute for Brain Science in 2016 in the Modeling, Analysis, and Theory department. He received his Bachelors and Masters degrees in Biomedical Engineering from Imperial College London and the University of Michigan - Ann Arbor, respectively. After working on VLSI, photoacoustic microscopy, and nanosensors, Yazan discovered his passion for neuroscience and pursued a PhD at the California Institute of Technology in the Computation and Neural Systems program working for Christof Koch. During his PhD, he worked on analyzing dynamical brain circuits at multiple levels of resolution using modeling and analytical approaches.

Research

Research Interests

What are the computational principles of the mammalian cortex? In aiming to answer this question, Yazan works in the team developing biophysically detailed models of the primary visual cortex. He is interested in developing models that are sufficiently accurate to allow predictions of how visual processing is done in normal and abnormal conditions. A major feature of biophysically detailed models is that they are able to bridge our understanding from the microscale level (such as ion channels) to observe effects on the mesoscale (for instance, firing rates) and macroscale (such as local field potentials) and hence may enable answering a multitude of questions.

Expertise

  • Computational neuroscience
  • Neural networks

Research Programs

  • Modeling, Analysis and Theory

Selected Publications View on PUBMED

BioNet: A Python interface to NEURON for modeling large-scale networks

PLOS | ONE
August 2, 2018

Gratiy SL, Billeh YN, Dai K, Mitelut C, Feng D, Gouwens NW, Cain N, Koch C, Anastassiou CA, Arkhipov A

Visual physiology of the Layer 4 cortical circuit in silico

PLoS Computational Biology
November 12, 2018

Arkhipov A, Gouwens NW, Billeh YN, Gratiy S, Iyer R, Wei Z, Xu Z, Berg J, Buice M, Cain N, da Costa N, de Vries S, Denman D, Durand S, Feng D, Jarsky T, Lecoq J, Lee B, Li L, Mihalas S, Ocker GK, Olsen SR, Reid RC, Soler-LLavina G, Sorensen SA, Wang Q, Waters J, Scanziani M, Koch C

Flow-Based Network Analysis of the Caenorhabditis elegans Connectome

PLoS Computational Biology
August 5, 2016

Bacik K, Schaub MT, Beguerisse-Diaz M, Billeh YN, Barahona M

Effects of chronic sleep restriction during early adolescence on the adult pattern of connectivity of mouse secondary motor cortex

eNeuro
April 22, 2016

Billeh YN, Rodriguez AV, Bellesi B, Bernard A, de Vivo L, Funk CM, Harris J, Honjoh S, Mihalas S, Ng L, Koch C, Cirelli C, Tononi G

Emergence of Slow-Switching Assemblies in Structured Neuronal Networks

PLoS Computational Biology
July 15, 2015

Schaub MT, Billeh YN, Anastassiou CA, Koch C, Barahona M

Revealing cell assemblies at multiple levels of granularity

Journal of Neuroscience Methods
October 30, 2014

Billeh YN, Schaub MT, Anastassiou CA, Barahona M, Koch C