Link to CV

Studies

  • 2019 - 2023: ENS (Paris, France). PhD in computational neuroscience.
  • 2017 - 2019: EPFL (Lausanne, Switzerland). MSc in computer science. Minor in snowboard and hiking.
  • 2014 - 2017: École Polytechnique (Palaiseau, France). Studies in maths & computer science.

Publications

  • Extracting computational mechanisms from neural data using low-rank RNNs, Valente A., Pillow J., Ostojic S., Neurips 2022. openReview, poster
  • Probing the relationship between linear dynamical systems and low-rank recurrent neural network models, Valente, Ostojic, Pillow, Neural Computation, 34(9), p.1871-1892 journal,arXiv.
  • The role of population structure in computations through neural dynamics, Dubreuil*, Valente*, Beiran, Mastrogiuseppe, Ostojic, Nature Neuroscience, 25, p.783–794 (2022). biorXiv, editor’s pdf.
  • Shaping dynamics with multiple populations in low-rank recurrent networks, Beiran*, Dubreuil, Valente, Mastrogiuseppe, Ostojic, Neural Computation, 33(6), 1572-1615 (2021). (arXiv link)

Poster presentations

  • Inferring low-rank network models from neural activity, Adrian Valente, Jonathan Pillow, Srdjan Ostojic, Bernstein conference 2021 (heavily reworked), poster
  • Extracting computational mechanisms from neural activity with low-rank networks, Adrian Valente, Jonathan Pillow, Srdjan Ostojic, FENS 2022, poster
  • Inferring low-rank network models from neural activity, Adrian Valente, Jonathan Pillow, Srdjan Ostojic, Bernstein conference 2021, poster
  • Disentangling the roles of dimensionality and cell populations in neural computations, Alexis Dubreuil, Adrian Valente, Francesca Mastrogiuseppe, Srdjan Ostojic, Cosyne 2020 poster
  • Disentangling the roles of dimensionality and cell populations in neural computations, Adrian Valente, Alexis Dubreuil, Francesca Mastrogiuseppe, Srdjan Ostojic, Neurips 2019 Workshop “Real Neurons and Hidden Units” poster
  • Processing information stored in working memory through modulations of effective connectivity, Adrian Valente, Alexis Dubreuil, Srdjan Ostojic, Neural Coding, Computations and Dynamics 2019 poster

PhD Thesis

  • Low-rank network models of neural computations, under the supervision of Srdjan Ostojic. Jury members: Devika Narain, Henning Sprekeler, Tatiana Engel, Jonathan Pillow, Peter Neri. Link to pdf

Other

  • Reverse-engineering low-rank recurrent neural networks, Master Thesis, Sept. 2019. pdf