ENHANCING REINFORCEMENT LEARNING MODELS BY INCLUDING DIRECT AND INDIRECT PATHWAYS IMPROVES PERFORMANCE ON STRIATAL DEPENDENT TASKS.

Enhancing reinforcement learning models by including direct and indirect pathways improves performance on striatal dependent tasks.

A major advance in understanding learning behavior stems from experiments showing that reward learning requires dopamine inputs to striatal neurons and arises from synaptic plasticity of cortico-striatal synapses.Numerous reinforcement learning models mimic this dopamine-dependent synaptic plasticity by using the reward prediction error, which rese

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Optimal Dispatch of Wind Power, Photovoltaic Power, Concentrating Solar Power, and Thermal Power in Case of Uncertain Output

The LED Lamp integration of large-scale wind and photovoltaic power into modern power grids leads to an imbalance between the supply and demand for resources of the system, where this threatens the safety and stable operation of the grid.The traditional mode of grid dispatch and the capability of regulation of conventional thermal power units canno

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Solutions for non-web OAuth 2.0 authorisation at CERN

The need for Single Sign-On solutions in command line interfaces is not new to CERN.Different technologies have been introduced and internal solutions have been implemented to allow users to authenticate to remote servers or applications from their console interfaces.In the case of web services, the most common approach was to use cookie-based auth

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