Renato Duarte
Renato Duarte
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Signal denoising through topographic modularity of neural circuits
Information from the sensory periphery is conveyed to the cortex via structured projection pathways that spatially segregate stimulus …
Barna Zajzon
,
David Dahmenn
,
Abigail Morrison
,
Renato Duarte
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Towards reproducible models of sequence learning: replication and analysis of a modular spiking network with reward-based learning
To acquire statistical regularities from the world, the brain must reliably process, and learn from, spatiotemporally structured …
Barna Zajzon
,
Renato Duarte
,
Abigail Morrison
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Unsupervised learning and clustered connectivity enhance reinforcement learning in spiking neural networks
Reinforcement learning is a learning paradigm that can account for how organisms learn to adapt their behavior in complex environments …
Philipp Weidel
,
Renato Duarte
,
Abigail Morrison
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Closed loop interactions between spiking neural network and robotic simulators based on MUSIC and ROS
In order to properly assess the function and computational properties of simulated neural systems, it is necessary to account for the …
Philipp Weidel
,
Mikael Djurfeldt
,
Renato Duarte
,
Abigail Morrison
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