A Scale-Invariant Internal Representation of Time

DOI10.1162/NECO_A_00212zbMath1237.92020WikidataQ47786744 ScholiaQ47786744MaRDI QIDQ2885087

Marc W. Howard, Karthik H. Shankar

Publication date: 21 May 2012

Published in: Neural Computation (Search for Journal in Brave)

Mathematics Subject Classification ID

Neural biology (92C20) Cognitive psychology (91E10) Psychophysics and psychophysiology; perception (91E30)

Related Items (5)

Mathematical learning theory through time ⋮ Generation of scale-invariant sequential activity in linear recurrent networks ⋮ Neural Mechanism to Simulate a Scale-Invariant Future ⋮ Estimating Scale-Invariant Future in Continuous Time ⋮ Improving Spiking Dynamical Networks: Accurate Delays, Higher-Order Synapses, and Time Cells

Cites Work

• Scaling behavior in the temporal context model
• A distributed representation of temporal context
• Sequential learning using temporal context
• Toward a Universal Law of Generalization for Psychological Science

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