Interlinked switch circuits of biological intelligence

• Published in: Trends in biochemical sciences (Amsterdam. Regular ed.) Vol. 49; no. 4; pp. 286 - 289
• Main Authors: Mukherjee, Raktim, Sinha, Saptarshi, Luker, Gary D., Ghosh, Pradipta
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01-04-2024
• Subjects: biological feedback; epidermal growth factor receptor (EGFR); guanine nucleotide-exchange modulators (GEMs); Ras superfamily GTPase switches; reinforcement learning; trimeric GTPase switches; trimeric GTPase switches; biological feedback; Ras superfamily GTPase switches; guanine nucleotide-exchange modulators (GEMs); epidermal growth factor receptor (EGFR); reinforcement learning
• ISSN: 0968-0004
• DOI: 10.1016/j.tibs.2024.01.006

Eukaryotic cells learn and adapt via unknown network architectures. Recent work demonstrated a circuit of two GTPases used by cells to overcome growth factor scarcity, encouraging our view that artificial and biological intelligence share strikingly similar design principles and that cells function as deep reinforcement learning (RL) agents in uncertain environments.
Eukaryotic cells learn and adapt via unknown network architectures. Recent work demonstrated a circuit of two GTPases used by cells to overcome growth factor scarcity, encouraging our view that artificial and biological intelligence share strikingly similar design principles and that cells function as deep reinforcement learning (RL) agents in uncertain environments.