Uncertainty, Neuromodulation, and Attention

Cited by (1,008)

Items 1,001–1,008 of 1,008

  1. Rethinking Predictive Processing
    Furutachi, Shohei, Hofer, Sonja B. · 2026 · Annual Review of Neuroscience
  2. Evidence and implications of abnormal predictive coding in dementia
    Kocagoncu, Ece, Klimovich-Gray, Anastasia, Hughes, Laura E, Rowe, James B · 2021 · Brain
  3. Activity in human dorsal raphe nucleus signals changes in behavioural policy
    Priestley, Luke, Mahmoodi, Ali, Reith, William D., Khalighinejad, Nima, Rushworth, Matthew F. S. · 2026 · Nature Communications
  4. Reward magnitude determines reinforcement learning efficiency
    Gong, Sheng, Martell, Alyssa, Dudman, Joshua T., Coddington, Luke T. · 2026 · Science
  5. Two prefrontal-subcortical circuits estimate controllability and reflect its impact on learning
    Liu, Yanhe, Spiering, Lisa, Luo, Shuyi, Kingston, Naomi, Grohn, Jan, Rushworth, Matthew F.S. · 2026 · Neuron
  6. Interpretable abstractions of artificial neural networks predict behavior and neural activity during human information gathering
    D’Ambrogio, Simone, Grohn, Jan, Khalighinejad, Nima, Mattar, Marcelo G., Hunt, Laurence, Rushworth, Matthew F. S. · 2026 · Nature Neuroscience
  7. Infraslow histaminergic dynamics govern priming states to gate moment-to-moment memory accessibility
    Morishita, Yoshikazu, Takamura, Yuki, Nishimura, Kyoka, Yokoi, Yuto, Ishihama, Yuya, Idutsu, Rentaro, Ono, Misato, Matsumoto, Reika, Hitora-Imamura, Natsuko, Minami, Masabumi et al. · 2026 · Neuron
  8. Deep active inference agents using Monte-Carlo methods
    Fountas, Zafeirios, Sajid, Noor, Mediano, Pedro A. M., Friston, Karl · 2020 · arXiv