Ulises Pereira Obilinovic

I am a Scientist at the Allen Institute for Neural Dynamics. I build simple theories for big neurobiological data. I am also a dilettante in Statistical Physics.

• Ph.D. in Statistics, The University of Chicago, 2018
• MS in Physics, Universidad de Chile, 2013

Publications & Preprints

1. K. Mohan, U. Pereira-Obilinovic, S. Srednyak, Y. Amit, N. Brunel, D. Freedman. Visual image familiarity learning at multiple timescales in the primate inferotemporal cortex. bioRxiv. [preprint]
2. X.-J. Wang, J. Jiang, U. Pereira-Obilinovic. Bifurcation in space: How does functional modularity arise in the cortex made with repeats of a canonical local circuit?. bioRxiv. [preprint]
3. U. Pereira-Obilinovic, H. Hou, K. Svoboda, X.-J. Wang. Brain mechanism of foraging: Reward-dependent synaptic plasticity versus neural integration of values. PNAS, 121 (14) e2318521121, 2024. [paper][code]
4. U. Pereira-Obilinovic, J. Aljadeff, and N. Brunel. Forgetting leads to chaos in attractor networks. Physical Review X, 13(1), p.011009, 2023. [paper][code][featured]
5. S. Recanatesi*, U. Pereira-Obilinovic*, M. Murakami, Z. Mainen^✝, L. Mazzucato^✝. Metastable attractors explain the variable timing of stable behavioral action sequences. Neuron, 110(1):139–153, 2022. [paper][code][featured]
6. J. Aljadeff, M. Gillett, U. Pereira-Obilinovic, and N. Brunel. From synapse to network: models of informationstorage and retrieval in neural circuits. Current Opinion in Neurobiology, 2021 [paper]
7. X.-J. Wang, U. Pereira, M.G.P. Rosa, and H. Kennedy. Brain connectomes come of age. Current Opinion in Neurobiology, 2020 [paper]
8. M. Gillett, U. Pereira and N. Brunel. Characteristics of sequential activity in networks with temporally asymmetric Hebbian learning. PNAS, 2020 [paper][code]
9. U. Pereira and N. Brunel. Unsupervised learning of persistent and sequential activity. Frontiers in computational neuroscience, 13:97, 2020 [paper][code]
10. J. Vera, U. Pereira, B. Reynaert, J. Bacigalupo, and M. Sanhueza. Modulation of frequency preference in heterogeneous populations of theta-resonant neurons. Neuroscience, 426:13–32, 2020 [paper]
11. U. Pereira and N. Brunel. Attractor dynamics in networks with learning rules inferred from in vivo data. Neuron, 99(1):227–238, 2018 [paper][code]
12. U. Pereira, P. Coullet, and E. Tirapegui. The bogdanov–takens normal form: A minimal model for single neuron dynamics. Entropy, 17(12):7859–7874, 2015 [paper]
13. J. Vera, M. Pezzoli, U. Pereira, J. Bacigalupo, and M. Sanhueza. Electricalresonance in the θ frequency range in olfactory amygdala neurons. PLoS One, 9(1):e85826, 2014 [paper]