ModelDB: Models that contain Reservoir Computing

Model Concept: Reservoir Computing

"Reservoir computing is a framework for computation like a neural network. Typically an input signal is fed into a fixed (random) dynamical system called reservoir and the dynamics of the reservoir map the input to a higher dimension... " (Wikipedia)

Basis for temporal filters in the cerebellar granular layer (Roessert et al. 2015)

Top authors for Reservoir Computing:

Rössert C (1)
Dean P (1)
Porrill J (1)

Top concepts studied with Reservoir Computing:

Rate-coding model neurons (1)

Top references cited by these models:

Koch C, Rapp M, Segev I. (1996). A brief history of time (constants). Cerebral cortex (New York, N.Y. : 1991). 6 (1)
Suarez H, Koch C, Douglas R. (1995). Modeling direction selectivity of simple cells in striate visual cortex within the framework of the canonical microcircuit. The Journal of neuroscience : the official journal of the Society for Neuroscience. 15 (1)
Marr D. (1969). A theory of cerebellar cortex. The Journal of physiology. 202 (1)
Mauk MD, Donegan NH. (1997). A model of Pavlovian eyelid conditioning based on the synaptic organization of the cerebellum. Learning & memory (Cold Spring Harbor, N.Y.). 4 (1)
Buonomano DV, Mauk MD. (1994). Neural network model of the cerebellum: temporal discrimination and the timing of motor responses Neural Comput. 6 (1)

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