Spiking Neuronal networks

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 …
PDF Cite Code Project Project Project Journal
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 …
PDF Cite Project Project Project Journal
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 …
PDF Cite Project Journal
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 …
PDF Cite Code Journal
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 …
PDF Cite Code Journal
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 …
PDF Cite Journal
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 …
PDF Cite Journal
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 …
PDF Cite Journal
Context separability mediated by the granular layer in a spiking cerebellum model for robot control
In this paper, we study how a biologically-plausible cerebellum architecture can store and retrieve different robotic-arm internal …
PDF Cite Journal
Event and time driven hybrid simulation of spiking neural networks
Emerging research areas in neuroscience are requiring simulation of large and detailed spiking neural networks. Although eventdriven …
PDF Cite