Publications

Articles

  • Ramírez-Ruiz, J., Grytskyy, D., Mastrogiuseppe, C., Habib, Y. & Moreno-Bote, R. (2024). “Complex behavior from intrinsic motivation to occupy future action-state path space.” Nature Communications, 15(1), p.6368.
  • Ramírez-Ruiz, J. & Ebitz, B. (2024). “Value” emerges from imperfect memory. bioRxiv preprint.
  • Grytskyy, D., Ramírez-Ruiz, J., & Moreno-Bote, R. (2023). A general Markov decision process formalism for action-state entropy-regularized reward maximization. arXiv preprint arXiv:2302.01098.
  • Ramírez-Ruiz, J., & Moreno-Bote, R. (2022). “Optimal allocation of finite sampling capacity in accumulator models of multi-alternative decision making.” Cognitive Science, 46(5), e13143.
  • Moreno-Bote, R., Ramírez-Ruiz, J., Drugowitsch, J., & Hayden, B. Y. (2020). “Heuristics and optimal solutions to the breadth–depth dilemma.” PNAS, 117(33), 19799-19808.

In my past Physics life:

  • Ramírez-Ruiz, J., Boutin, S., & Garate, I. (2017). “NMR in an electric field: A bulk probe of the hidden spin and orbital polarizations.” Physical Review B, 96(23), 235201. Editors’ suggestion.
  • Boutin, S., Ramírez-Ruiz, J., & Garate, I. (2016). “Tight-binding theory of NMR shifts in topological insulators Bi2Se3 and Bi2Te3.” Physical Review B, 94(11), 115204.

Conference & workshops

  • Moreno-Bote, R. & Ramírez-Ruiz, J. “Empowerment, Free Energy Principle and Maximum Occupancy Principle Compared”. NeurIPS 2023 workshop: Information- Theoretic Principles in Cognitive Systems, New Orleans, USA.
  • Ramírez-Ruiz, Grytskyy, D., Moreno-Bote, R. (2022) “Seeking entropy: Complex behavior from intrinsic motivation to occupy action-state path space.” Deep Learning Barcelona conference. PDF.
  • Ramírez-Ruiz, J., Anzai, A., Drugowitsch, J., DeAngelis, G. and Moreno-Bote R. (2021) “Behavioral mechanisms underlying visually-guided control of steering”. Conference for the Spanish Neuroscience Society (SENC). PDF.
  • Ramírez-Ruiz, J., Mastrogiuseppe, C. and Moreno-Bote, R. (2021) “Magic number five: The breadth–depth dilemma in accumulator and tree-like models of decision making.” Barcelona Cognitive, Computational and Systems Neuroscience conference. PDF.
  • Ramírez-Ruiz, J. and Moreno-Bote, R. (2021) “Optimal allocation of finite sampling capacity in accumulator models of multi-alternative decision making”. Cosyne Conference. Click to view.