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Homeostatic plasticity for single node delay-coupled reservoir computing (2015)
Journal Article
Toutounji, H., Schumacher, J., & Pipa, G. (2015). Homeostatic plasticity for single node delay-coupled reservoir computing. Neural Computation, 27(6), 1159-1185. https://doi.org/10.1162/NECO_a_00737

© 2015 Massachusetts Institute of Technology. Supplementing a differential equation with delays results in an infinitedimensional dynamical system. This property provides the basis for a reservoir computing architecture, where the recurrent neural ne... Read More about Homeostatic plasticity for single node delay-coupled reservoir computing.

Modular deconstruction reveals the dynamical and physical building blocks of a locomotion motor program (2015)
Journal Article
Bruno, A., Frost, W., & Humphries, M. (2015). Modular deconstruction reveals the dynamical and physical building blocks of a locomotion motor program. Neuron, 86(1), (304-318). doi:10.1016/j.neuron.2015.03.005. ISSN 0896-6273

The neural substrates of motor programs are only well understood for small, dedicated circuits. Here we investigate how a motor program is constructed within a large network. We imaged populations of neurons in the Aplysia pedal ganglion during execu... Read More about Modular deconstruction reveals the dynamical and physical building blocks of a locomotion motor program.

A new framework for cortico-striatal plasticity: behavioural theory meets In vitro data at the reinforcement-action interface (2015)
Journal Article
Gurney, K. N., Humphries, M. D., & Redgrave, P. (2015). A new framework for cortico-striatal plasticity: behavioural theory meets In vitro data at the reinforcement-action interface. PLoS Biology, 13(1), doi:10.1371/journal.pbio.1002034. ISSN 1544-9173

Operant learning requires that reinforcement signals interact with action representations at a suitable neural interface. Much evidence suggests that this occurs when phasic dopamine, acting as a reinforcement prediction error, gates plasticity at co... Read More about A new framework for cortico-striatal plasticity: behavioural theory meets In vitro data at the reinforcement-action interface.