AIMC Topic: Models, Neurological

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Neural Network Spectral Robustness under Perturbations of the Underlying Graph.

Neural computation Nov 24, 2015
Recent studies have been using graph-theoretical approaches to model complex networks (such as social, infrastructural, or biological networks) and how their hardwired circuitry relates to their dynamic evolution in time. Understanding how configurat...
Humans Neural Networks, Computer Brain Models, Neurological Brain Mapping Nerve Net
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Efficient Associative Computation with Discrete Synapses.

Neural computation Nov 24, 2015
Neural associative networks are a promising computational paradigm for both modeling neural circuits of the brain and implementing associative memory and Hebbian cell assemblies in parallel VLSI or nanoscale hardware. Previous work has extensively in...
Animals Neuronal Plasticity Models, Neurological Humans Neural Networks, Computer Learning Synapses Memory
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Coherent and intermittent ensemble oscillations emerge from networks of irregular spiking neurons.

Journal of neurophysiology Nov 11, 2015
Local field potential (LFP) recordings from spatially distant cortical circuits reveal episodes of coherent gamma oscillations that are intermittent, and of variable peak frequency and duration. Concurrently, single neuron spiking remains largely irr...
Gamma Rhythm Neural Pathways Interneurons Neural Networks, Computer Humans Pyramidal Cells Animals Action Potentials Models, Neurological Neurons Cerebral Cortex
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Modeling the motor cortex: Optimality, recurrent neural networks, and spatial dynamics.

Neuroscience research Nov 10, 2015
Specialization of motor function in the frontal lobe was first discovered in the seminal experiments by Fritsch and Hitzig and subsequently by Ferrier in the 19th century. It is, however, ironical that the functional and computational role of the mot...
Neural Networks, Computer Animals Models, Neurological Humans Motor Cortex Psychomotor Performance Electrophysiological Phenomena Movement Visual Perception
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Learning to Estimate Dynamical State with Probabilistic Population Codes.

PLoS computational biology Nov 5, 2015
Tracking moving objects, including one's own body, is a fundamental ability of higher organisms, playing a central role in many perceptual and motor tasks. While it is unknown how the brain learns to follow and predict the dynamics of objects, it is ...
Humans Neural Networks, Computer Models, Neurological Algorithms Computer Simulation Models, Statistical Computational Biology Proprioception
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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, ...
Models, Neurological Robotics Motivation Behavior Exploratory Behavior Nervous System Physiological Phenomena Humans Computer Simulation Neuronal Plasticity Creativity
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Off-line simulation inspires insight: A neurodynamics approach to efficient robot task learning.

Neural networks : the official journal of the International Neural Network Society Oct 19, 2015
There is currently an increasing demand for robots able to acquire the sequential organization of tasks from social learning interactions with ordinary people. Interactive learning-by-demonstration and communication is a promising research topic in c...
Robotics Humans Knowledge Artificial Intelligence Learning Problem Solving Communication Models, Neurological
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Goal-oriented robot navigation learning using a multi-scale space representation.

Neural networks : the official journal of the International Neural Network Society Oct 19, 2015
There has been extensive research in recent years on the multi-scale nature of hippocampal place cells and entorhinal grid cells encoding which led to many speculations on their role in spatial cognition. In this paper we focus on the multi-scale nat...
Goals Reinforcement, Psychology Spatial Navigation Models, Neurological Robotics Hippocampus Humans Learning Cognition
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Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications.

Neural networks : the official journal of the International Neural Network Society Oct 17, 2015
The paper describes a new type of evolving connectionist systems (ECOS) called evolving spatio-temporal data machines based on neuromorphic, brain-like information processing principles (eSTDM). These are multi-modular computer systems designed to de...
Action Potentials Humans Brain Electroencephalography Neurosciences Neural Networks, Computer Time Factors Equipment Design Machine Learning Models, Neurological
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Spatially regularized machine learning for task and resting-state fMRI.

Journal of neuroscience methods Oct 16, 2015
BACKGROUND: Reliable mapping of brain function across sessions and/or subjects in task- and resting-state has been a critical challenge for quantitative fMRI studies although it has been intensively addressed in the past decades.
Motor Activity Visual Perception Mental Processes Fingers Neural Pathways Magnetic Resonance Imaging Neuropsychological Tests Models, Neurological Brain Mapping Datasets as Topic Linear Models Rest Computer Simulation Reproducibility of Results Humans Support Vector Machine Brain
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