The challenges of lifelong learning in biological and artificial systems

Sashank Pisupati, Yael Niv

Research output: Contribution to journalShort surveypeer-review

4 Scopus citations


How do biological systems learn continuously throughout their lifespans, adapting to change while retaining old knowledge, and how can these principles be applied to artificial learning systems? In this Forum article we outline challenges and strategies of ‘lifelong learning’ in biological and artificial systems, and argue that a collaborative study of each system's failure modes can benefit both.

Original languageEnglish (US)
Pages (from-to)1051-1053
Number of pages3
JournalTrends in Cognitive Sciences
Issue number12
StatePublished - Dec 2022

All Science Journal Classification (ASJC) codes

  • Neuropsychology and Physiological Psychology
  • Experimental and Cognitive Psychology
  • Cognitive Neuroscience


  • Bayesian inference
  • continual learning
  • forgetting
  • inductive biases
  • lifelong learning
  • reinforcement learning


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