The dynamics of memory retrieval in hierarchical networks

DOI10.1007/S10827-016-0595-7zbMath1382.92059OpenAlexW2291391937WikidataQ38395374 ScholiaQ38395374MaRDI QIDQ1704979

Yifan Gu, Pu-Lin Gong

Publication date: 14 March 2018

Published in: Journal of Computational Neuroscience (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10827-016-0595-7

zbMATH Keywords

hierarchical networksexcitation-inhibition balancememory retrievalspiking neural circuits

Mathematics Subject Classification ID

Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• The Fokker-Planck equation. Methods of solution and applications
• Estimating the dimension of a model
• Dynamics of the Firing Probability of Noisy Integrate-and-Fire Neurons
• `` Direct Search Solution of Numerical and Statistical Problems
• Introduction to Theoretical Neurobiology
• Some bifurcation problems of stability
• Firing Rate of the Noisy Quadratic Integrate-and-Fire Neuron
• Effective neural response function for collective population states
• Mean Field and Capacity in Realistic Networks of Spiking Neurons Storing Sparsely Coded Random Memories
• Bayes Factors
• Neural networks and physical systems with emergent collective computational abilities.
• Scaling Laws of Associative Memory Retrieval
• Synaptic Shot Noise and Conductance Fluctuations Affect the Membrane Voltage with Equal Significance
• Stochastic Problems in Physics and Astronomy

This page was built for publication: The dynamics of memory retrieval in hierarchical networks