AIMC Topic: Neuronal Plasticity

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Behavioral plasticity through the modulation of switch neurons.

Neural networks : the official journal of the International Neural Network Society Nov 12, 2015
A central question in artificial intelligence is how to design agents capable of switching between different behaviors in response to environmental changes. Taking inspiration from neuroscience, we address this problem by utilizing artificial neural ...
Neuronal Plasticity Signal Processing, Computer-Assisted Neurons Algorithms Computer Simulation Behavior Neural Networks, Computer Reinforcement, Psychology Artificial Intelligence Neurosciences Machine Learning Synapses Maze Learning Problem Solving
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Novel plasticity rule can explain the development of sensorimotor intelligence.

Proceedings of the National Academy of Sciences of the United States of America Oct 26, 2015
Grounding autonomous behavior in the nervous system is a fundamental challenge for neuroscience. In particular, self-organized behavioral development provides more questions than answers. Are there special functional units for curiosity, motivation, ...
Nervous System Physiological Phenomena Creativity Behavior Exploratory Behavior Humans Computer Simulation Neuronal Plasticity Models, Neurological Robotics Motivation
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Learning Spatiotemporally Encoded Pattern Transformations in Structured Spiking Neural Networks.

Neural computation Oct 23, 2015
Information encoding in the nervous system is supported through the precise spike timings of neurons; however, an understanding of the underlying processes by which such representations are formed in the first place remains an open question. Here we ...
Neural Networks, Computer Supervised Machine Learning Neurons Learning Neuronal Plasticity Action Potentials
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Enhancement of Spike-Timing-Dependent Plasticity in Spiking Neural Systems with Noise.

International journal of neural systems Oct 9, 2015
Synaptic plasticity is widely recognized to support adaptable information processing in the brain. Spike-timing-dependent plasticity, one subtype of plasticity, can lead to synchronous spike propagation with temporal spiking coding information. Recen...
Neurons Cerebral Cortex Stochastic Processes Models, Neurological Action Potentials Humans Neural Networks, Computer Animals Neuronal Plasticity
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Spiking Neural Network With Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms.

IEEE transactions on bio-medical engineering Oct 1, 2015
GOAL: In this study, we defined a realistic cerebellar model through the use of artificial spiking neural networks, testing it in computational simulations that reproduce associative motor tasks in multiple sessions of acquisition and extinction.
Humans Action Potentials Cerebellum Blinking Computer Simulation Neuronal Plasticity Models, Neurological Neural Networks, Computer Algorithms
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Spinal plasticity in robot-mediated therapy for the lower limbs.

Journal of neuroengineering and rehabilitation Sep 17, 2015
Robot-mediated therapy can help improve walking ability in patients following injuries to the central nervous system. However, the efficacy of this treatment varies between patients, and evidence for the mechanisms underlying functional improvements ...
Spinal Cord Injuries Lower Extremity Brain Injuries Robotics Humans Neuronal Plasticity
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Rich spectrum of neural field dynamics in the presence of short-term synaptic depression.

Physical review. E, Statistical, nonlinear, and soft matter physics Sep 14, 2015
In continuous attractor neural networks (CANNs), spatially continuous information such as orientation, head direction, and spatial location is represented by Gaussian-like tuning curves that can be displaced continuously in the space of the preferred...
Action Potentials Neurons Neural Networks, Computer Nonlinear Dynamics Neuronal Plasticity Models, Neurological
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Networks that learn the precise timing of event sequences.

Journal of computational neuroscience Sep 3, 2015
Neuronal circuits can learn and replay firing patterns evoked by sequences of sensory stimuli. After training, a brief cue can trigger a spatiotemporal pattern of neural activity similar to that evoked by a learned stimulus sequence. Network models s...
Humans Neural Networks, Computer Machine Learning Computer Simulation Learning Pyramidal Cells Time Perception Synapses Neuronal Plasticity Nerve Net Models, Neurological Time
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Robotic Therapy and the Paradox of the Diminishing Number of Degrees of Freedom.

Physical medicine and rehabilitation clinics of North America Aug 21, 2015
There has been remarkable growth in the development and application of robotics to ameliorate or remediate impairment. This growth is associated with a) the understanding that plasticity is a fundamental property of the adult human brain and might be...
Upper Extremity Recovery of Function Humans Stroke Rehabilitation Robotics Neuronal Plasticity Stroke
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Neuromorphic implementations of neurobiological learning algorithms for spiking neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 18, 2015
The application of biologically inspired methods in design and control has a long tradition in robotics. Unlike previous approaches in this direction, the emerging field of neurorobotics not only mimics biological mechanisms at a relatively high leve...
Learning Humans Neuronal Plasticity Neural Networks, Computer Models, Neurological Software Algorithms Brain
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