Spiking Neuronal Networks

Reinforcement learning in a spiking neural model of striatum plasticity
The basal ganglia (BG), and more specifically the striatum, have long been proposed to play an essential role in action-selection based …
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Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity
The basal ganglia (BG) is a brain structure that has long been proposed to play an essential role in action selection, and theoretical …
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A Basal Ganglia Computational Model to Explain the Paradoxical Sensorial Improvement in the Presence of Huntington’s Disease
The basal ganglia (BG) represent a critical center of the nervous system for sensorial discrimination. Although it is known that …
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Simulation, visualization and analysis tools for pattern recognition assessment with spiking neuronal networks
Computational modeling is becoming a widely used methodology in modern neuroscience. However, as the complexity of the phenomena under …
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Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks
The majority of operations carried out by the brain require learning complex signal patterns for future recognition, retrieval and …
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Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation
The cerebellum is known to play a critical role in learning relevant patterns of activity for adaptive motor control, but the …
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Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation
Adaptable gain regulation is at the core of the forward controller operation performed by the cerebro-cerebellar loops and it allows …
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From sensors to spikes: evolving receptive fields to enhance sensorimotor information in a robot-arm
In biological systems, instead of actual encoders at different joints, proprioception signals are acquired through distributed …
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Adaptive cerebellar spiking model embedded in the control loop: context switching and robustness against noise
This work evaluates the capability of a spiking cerebellar model embedded in different loop architectures (recurrent, forward, and …
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Cerebellar input configuration toward object model abstraction in manipulation tasks
It is widely assumed that the cerebellum is one of the main nervous centers involved in correcting and refining planned movement and …
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