Ulises Pereira Obilinovic


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About me

I am a PhD candidate at the Department of Statistics at the University of Chicago, advised by Nicolas Brunel. My research uses a combination of mechanistic modeling and normative approaches from optimization principles for building theories of brain organization and function. I put special emphasis on constraining such theories by experimental data.

On January 2019, I will be starting a postdoctoral position at the Xiao-Jing Wang's Lab at the Center of Neural Since at New York University. I will be embarking on a research program of tackling the challenge of understanding large-scale brain circuits.

You will find more about my academic background on my CV.


  1. Pereira U, Aljadeff J, Brunel N. Chaos with Associative Memory Properties in Attractor Neural Networks. In preparation.
  2. Pereira U and Brunel N. Unsupervised Learning of Persistent and Sequential Activity. Under review. [bioRxiv][code]
  3. Vera J, Pereira U, Reynaert B, Bacigalupo J and Sanhueza M. Neuronal resonance in the theta (4-10 Hz) frequency range is modulated by dynamic changes in the input resistance. Under review. [bioRxiv]
  4. Pereira U and Brunel N. Attractor dynamics in networks with learning rules inferred from in vivo data. Neuron. 2018 Jun 14; 99(1), 227-238. [paper][code]
  5. Pereira U, Coullet P, Tirapegui E. The Bogdanov–Takens Normal Form: A Minimal Model for Single Neuron Dynamics. Entropy. 2015 Nov 30;17(12):7859-74. [paper]
  6. Vera J, Pezzoli M, Pereira U, Bacigalupo J, Sanhueza M. Electrical resonance in the θ frequency range in olfactory amygdala neurons. PLoS One. 2014 Jan 21;9(1):e85826. [paper]
  7. Contreras D, Pereira U, Hernandez VC, Reynaert B, Letelier JC. A loop conjecture for metabolic closure. InECAL 2011 (pp. 176-183). [paper]


You can contact me writing to myname[at]uchicago.edu.