AIMC Topic: Models, Neurological

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A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data.

Neural computation May 14, 2015
Neural network models of early sensory processing typically reduce the dimensionality of streaming input data. Such networks learn the principal subspace, in the sense of principal component analysis, by adjusting synaptic weights according to activi...
Neural Networks, Computer Principal Component Analysis Neurons Linear Models Algorithms Learning Models, Neurological
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An Asynchronous Recurrent Network of Cellular Automaton-Based Neurons and Its Reproduction of Spiking Neural Network Activities.

IEEE transactions on neural networks and learning systems May 13, 2015
Modeling and implementation approaches for the reproduction of input-output relationships in biological nervous tissues contribute to the development of engineering and clinical applications. However, because of high nonlinearity, the traditional mod...
Hippocampus Nerve Net Action Potentials Neurons Humans Computer Simulation Synapses Animals Neural Networks, Computer Models, Neurological
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Diagnostic Accuracy Comparison of Artificial Immune Algorithms for Primary Headaches.

Computational and mathematical methods in medicine May 4, 2015
The present study evaluated the diagnostic accuracy of immune system algorithms with the aim of classifying the primary types of headache that are not related to any organic etiology. They are divided into four types: migraine, tension, cluster, and ...
Headache Disorders, Primary Male Algorithms Diagnosis, Computer-Assisted Humans Computational Biology Artificial Intelligence Female Reproducibility of Results Models, Neurological Expert Systems Immune System
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A realistic bi-hemispheric model of the cerebellum uncovers the purpose of the abundant granule cells during motor control.

Frontiers in neural circuits May 1, 2015
The cerebellar granule cells (GCs) have been proposed to perform lossless, adaptive spatio-temporal coding of incoming sensory/motor information required by downstream cerebellar circuits to support motor learning, motor coordination, and cognition. ...
Animals Models, Neurological Robotics Humans Neurons Neural Networks, Computer Cerebellum Motor Activity
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Eigenspectrum bounds for semirandom matrices with modular and spatial structure for neural networks.

Physical review. E, Statistical, nonlinear, and soft matter physics Apr 24, 2015
The eigenvalue spectrum of the matrix of directed weights defining a neural network model is informative of several stability and dynamical properties of network activity. Existing results for eigenspectra of sparse asymmetric random matrices neglect...
Stochastic Processes Neocortex Neural Networks, Computer Animals Models, Neurological
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A network model comprising 4 segmental, interconnected ganglia, and its application to simulate multi-legged locomotion in crustaceans.

Journal of computational neuroscience Apr 23, 2015
Inter-segmental coordination is crucial for the locomotion of animals. Arthropods show high variability of leg numbers, from 6 in insects up to 750 legs in millipedes. Despite this fact, the anatomical and functional organization of their nervous sys...
Neural Networks, Computer Computer Simulation Insecta Synapses Sensation Animals Models, Neurological Walking Ganglia, Invertebrate Neural Pathways Feedback, Physiological Locomotion Central Pattern Generators Crustacea
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Turn Down That Noise: Synaptic Encoding of Afferent SNR in a Single Spiking Neuron.

IEEE transactions on biomedical circuits and systems Apr 22, 2015
We have added a simplified neuromorphic model of Spike Time Dependent Plasticity (STDP) to the previously described Synapto-dendritic Kernel Adapting Neuron (SKAN), a hardware efficient neuron model capable of learning spatio-temporal spike patterns....
Synaptic Transmission Neurons Synapses Signal-To-Noise Ratio Humans Neural Networks, Computer Models, Neurological Equipment Design
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Analysis of connectivity in NeuCube spiking neural network models trained on EEG data for the understanding of functional changes in the brain: A case study on opiate dependence treatment.

Neural networks : the official journal of the International Neural Network Society Apr 20, 2015
The paper presents a methodology for the analysis of functional changes in brain activity across different conditions and different groups of subjects. This analysis is based on the recently proposed NeuCube spiking neural network (SNN) framework and...
Narcotics Opiate Substitution Treatment Models, Neurological Brain Mapping Electroencephalography Artificial Intelligence Methadone Humans Brain Opioid-Related Disorders Neural Networks, Computer Adult Nerve Net
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Memory dynamics in attractor networks.

Computational intelligence and neuroscience Apr 19, 2015
As can be represented by neurons and their synaptic connections, attractor networks are widely believed to underlie biological memory systems and have been used extensively in recent years to model the storage and retrieval process of memory. In this...
Neurons Nonlinear Dynamics Humans Memory Neural Networks, Computer Computer Simulation Animals Models, Neurological
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A priori data-driven multi-clustered reservoir generation algorithm for echo state network.

PloS one Apr 13, 2015
Echo state networks (ESNs) with multi-clustered reservoir topology perform better in reservoir computing and robustness than those with random reservoir topology. However, these ESNs have a complex reservoir topology, which leads to difficulties in r...
Neural Networks, Computer Algorithms Databases, Factual Computer Simulation Cluster Analysis Models, Neurological Database Management Systems
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