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 Posi-Clear RP Parts dopamine-dependent synaptic plasticity by using the reward predicti

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Frontal polymerization-triggered simultaneous ring-opening metathesis polymerization and cross metathesis affords anisotropic macroporous dicyclopentadiene cellulose nanocrystal foam

Polymeric solid foams have several beneficial properties such as their light weight, thermal Home insulation or shock absorbance, but it is still challenging to efficiently control the foam architecture.Here, the authors optimize the frontal polymerization of dicyclopentadiene with allyl-functionalized cellulose nanocrystals to rapidly achieve soli

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