AIMC Topic: Neuronal Plasticity

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Indirect and direct training of spiking neural networks for end-to-end control of a lane-keeping vehicle.

Neural networks : the official journal of the International Neural Network Society Jul 9, 2019
Building spiking neural networks (SNNs) based on biological synaptic plasticities holds a promising potential for accomplishing fast and energy-efficient computing, which is beneficial to mobile robotic applications. However, the implementations of S...
Robotics Neurons Reinforcement, Psychology Neural Networks, Computer Algorithms Neuronal Plasticity
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A diversity of interneurons and Hebbian plasticity facilitate rapid compressible learning in the hippocampus.

Nature neuroscience Jun 24, 2019
The hippocampus is able to rapidly learn incoming information, even if that information is only observed once. Furthermore, this information can be replayed in a compressed format in either forward or reverse modes during sharp wave-ripples (SPW-Rs)....
Time Factors Neuronal Plasticity Memory Neural Networks, Computer Computer Simulation Learning Septal Nuclei CA3 Region, Hippocampal Interneurons
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A Probabilistic Synapse With Strained MTJs for Spiking Neural Networks.

IEEE transactions on neural networks and learning systems Jun 18, 2019
Spiking neural networks (SNNs) are of interest for applications for which conventional computing suffers from the nearly insurmountable memory-processor bottleneck. This paper presents a stochastic SNN architecture that is based on specialized logic-...
Machine Learning Neuronal Plasticity Action Potentials Probability Synapses Humans Neural Networks, Computer
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Short-term synaptic plasticity expands the operational range of long-term synaptic changes in neural networks.

Neural networks : the official journal of the International Neural Network Society Jun 18, 2019
The brain is highly plastic, with synaptic weights changing across a wide range of time scales, from hundreds of milliseconds to days. Changes occurring at different temporal scales are believed to serve different purposes, with long-term changes for...
Neuronal Plasticity Synapses Memory Learning Time Factors Humans Neural Networks, Computer Brain Computer Simulation
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Circuit mechanisms for the maintenance and manipulation of information in working memory.

Nature neuroscience Jun 10, 2019
Recently it has been proposed that information in working memory (WM) may not always be stored in persistent neuronal activity but can be maintained in 'activity-silent' hidden states, such as synaptic efficacies endowed with short-term synaptic plas...
Learning Neuronal Plasticity Memory, Short-Term Neural Networks, Computer Computer Simulation
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Spatiotemporal discrimination in attractor networks with short-term synaptic plasticity.

Journal of computational neuroscience May 27, 2019
We demonstrate that a randomly connected attractor network with dynamic synapses can discriminate between similar sequences containing multiple stimuli suggesting such networks provide a general basis for neural computations in the brain. The network...
Machine Learning Algorithms Computer Simulation Animals Cognition Humans Mental Recall Neural Networks, Computer Electrophysiological Phenomena Neurons Neuronal Plasticity Long-Term Synaptic Depression Synapses Decision Making Neural Pathways
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A Reservoir Computing Model of Reward-Modulated Motor Learning and Automaticity.

Neural computation May 21, 2019
Reservoir computing is a biologically inspired class of learning algorithms in which the intrinsic dynamics of a recurrent neural network are mined to produce target time series. Most existing reservoir computing algorithms rely on fully supervised l...
Reinforcement, Psychology Neurons Reward Nerve Net Neuronal Plasticity Models, Neurological Humans Neural Networks, Computer Computer Simulation
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Discrimination of Motion Direction in a Robot Using a Phenomenological Model of Synaptic Plasticity.

Computational intelligence and neuroscience May 2, 2019
Recognizing and tracking the direction of moving stimuli is crucial to the control of much animal behaviour. In this study, we examine whether a bio-inspired model of synaptic plasticity implemented in a robotic agent may allow the discrimination of ...
Evoked Potentials, Visual Visual Perception Robotics Visual Cortex Animals Neurons Motion Perception Motion Neuronal Plasticity Orientation
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Spatial Concept Learning: A Spiking Neural Network Implementation in Virtual and Physical Robots.

Computational intelligence and neuroscience Apr 1, 2019
This paper proposes an artificial spiking neural network (SNN) sustaining the cognitive abstract process of spatial concept learning, embedded in virtual and real robots. Based on an operant conditioning procedure, the robots learn the relationship o...
Artificial Intelligence Concept Formation Algorithms Neuronal Plasticity Learning Humans Models, Neurological Neural Networks, Computer Neurons
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Memristive Imitation of Synaptic Transmission and Plasticity.

IEEE transactions on neural networks and learning systems Feb 11, 2019
In this paper, a memristive artificial neural circuit imitating the excitatory chemical synaptic transmission of biological synapse is designed. The proposed memristor-based neural circuit exhibits synaptic plasticity, one of the important neurochemi...
Imitative Behavior Humans Neuronal Plasticity Neural Networks, Computer Synaptic Transmission
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