Research

A list of my work about neuroscience, data analysis, machine learning, or open source development.

Presentations

  • Interactive data visualizations with AlgebraOfGraphics, JuliaCon 2020 - Video
  • A cross-species accumulation of evidence under uncertainty, Cosyne 2018 - Video
  • JuliaDBMeta: tools to work with tabular data, JuliaCon 2018 - Video, Slides
  • Open source tools for data analysis and visualization, lab meeting 2019 - Slides
  • Multicolored persistence, Bologna 2019 - Slides
  • Reticular networks, Seville 2019 - Slides

Publications

  • Dependent optics (arXiv, 2022) - PDF
  • Machines of finite depth: towards a formalization of neural networks (arXiv, 2022) - PDF
  • Beyond topological persistence: Starting from networks (Mathematics, 2021) - FULL TEXT
  • Parametric machines: a fresh approach to architecture search (arXiv, 2020) - PDF
  • Inference based decisions in a hidden state foraging task: differential contributions of prefrontal cortical areas (Neuron, 2020) - PDF
  • Rank-based persistence (Theory and Applications of Categories, 2020) - PDF
  • Learning to represent signals spike by spike (Plos Computational Biology, 2020) - PDF
  • Activation of serotonin neurons promotes active persistence in a probabilistic foraging task (Nature Communications, 2018) - PDF
  • Unsupervised learning of an efficient short-term memory network (NIPS, 2014) - PDF