Key role of neuronal diversity in structured reservoir computing

DOI10.1063/5.0111131MaRDI QIDQ6570815

Jean-Philippe Thivierge, Annie Théberge Charbonneau, Eloïse Giraud, Michael J. Lynn

Publication date: 10 July 2024

Published in: Chaos (Search for Journal in Brave)

Mathematics Subject Classification ID

Dynamical systems and ergodic theory (37-XX) Ordinary differential equations (34-XX)

Cites Work

• Estimating Fisher discriminant error in a linear integrator model of neural population activity
• Comprehensive characterization of oscillatory signatures in a model circuit with PV- and SOM-expressing interneurons
• Do reservoir computers work best at the edge of chaos?
• Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
• Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data
• Real-Time Computation at the Edge of Chaos in Recurrent Neural Networks
• Optimal Readout of Correlated Neural Activity in a Decision-Making Circuit

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