AIMC Topic: Models, Neurological

Clear Filters Showing 781 to 790 of 1163 articles

Synchronised firing patterns in a random network of adaptive exponential integrate-and-fire neuron model.

Neural networks : the official journal of the International Neural Network Society Mar 16, 2017
We have studied neuronal synchronisation in a random network of adaptive exponential integrate-and-fire neurons. We study how spiking or bursting synchronous behaviour appears as a function of the coupling strength and the probability of connections,...
Neurons Probability Neural Networks, Computer Models, Neurological Action Potentials Humans
View on PubMed DOI

Recurring Functional Interactions Predict Network Architecture of Interictal and Ictal States in Neocortical Epilepsy.

eNeuro Mar 8, 2017
Human epilepsy patients suffer from spontaneous seizures, which originate in brain regions that also subserve normal function. Prior studies demonstrate focal, neocortical epilepsy is associated with dysfunction, several hours before seizures. How do...
Neocortex Cluster Analysis Models, Neurological Unsupervised Machine Learning Female Male Time Factors Drug Resistant Epilepsy Electrocorticography Electrodes, Implanted Brain Mapping Seizures Datasets as Topic Humans
View on PubMed DOI

Sparse and Specific Coding during Information Transmission between Co-cultured Dentate Gyrus and CA3 Hippocampal Networks.

Frontiers in neural circuits Mar 6, 2017
To better understand encoding and decoding of stimulus information in two specific hippocampal sub-regions, we isolated and co-cultured rat primary dentate gyrus (DG) and CA3 neurons within a two-chamber device with axonal connectivity via micro-tunn...
Nerve Net CA3 Region, Hippocampal Microelectrodes Evoked Potentials Dentate Gyrus Rats Models, Neurological Neurons Machine Learning Cells, Cultured Animals
View on PubMed DOI

HTM Spatial Pooler With Memristor Crossbar Circuits for Sparse Biometric Recognition.

IEEE transactions on biomedical circuits and systems Mar 1, 2017
Hierarchical Temporal Memory (HTM) is an online machine learning algorithm that emulates the neo-cortex. The development of a scalable on-chip HTM architecture is an open research area. The two core substructures of HTM are spatial pooler and tempora...
Humans Speech Recognition Software Biometry Speech Perception Facial Recognition Machine Learning Algorithms Models, Neurological
View on PubMed DOI

Feedback for reinforcement learning based brain-machine interfaces using confidence metrics.

Journal of neural engineering Feb 27, 2017
OBJECTIVE: For brain-machine interfaces (BMI) to be used in activities of daily living by paralyzed individuals, the BMI should be as autonomous as possible. One of the challenges is how the feedback is extracted and utilized in the BMI. Our long-ter...
Learning Models, Neurological Biofeedback, Psychology Man-Machine Systems Reinforcement, Psychology Brain-Computer Interfaces Task Performance and Analysis Humans Machine Learning Computer Simulation
View on PubMed DOI

Cracking the barcode of fullerene-like cortical microcolumns.

Neuroscience letters Feb 24, 2017
Artificial neural systems and nervous graph theoretical analysis rely upon the stance that the neural code is embodied in logic circuits, e.g., spatio-temporal sequences of ON/OFF spiking neurons. Nevertheless, this assumption does not fully explain ...
Humans Neural Networks, Computer Brain Animals Models, Neurological Neurons Neural Pathways Fullerenes
View on PubMed DOI

A mathematical model for the two-learners problem.

Journal of neural engineering Feb 22, 2017
OBJECTIVE: We present the first generic theoretical formulation of the co-adaptive learning problem and give a simple example of two interacting linear learning systems, a human and a machine.
Linear Models Man-Machine Systems Game Theory Learning Animals Models, Neurological Humans Machine Learning Computer Simulation
View on PubMed DOI

Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors.

Neural networks : the official journal of the International Neural Network Society Feb 20, 2017
Wearable devices, such as smart glasses and watches, allow for continuous recording of everyday life in a real world over an extended period of time or lifelong. This possibility helps better understand the cognitive behavior of humans in real life a...
Microcomputers Brain Cognition Models, Neurological Humans Neural Networks, Computer
View on PubMed DOI

Noise-robust unsupervised spike sorting based on discriminative subspace learning with outlier handling.

Journal of neural engineering Feb 15, 2017
OBJECTIVE: Spike sorting is a fundamental preprocessing step for many neuroscience studies which rely on the analysis of spike trains. Most of the feature extraction and dimensionality reduction techniques that have been used for spike sorting give a...
Models, Neurological Action Potentials Models, Statistical Computer Simulation Reproducibility of Results Sensitivity and Specificity Signal-To-Noise Ratio Discriminant Analysis Artifacts Pattern Recognition, Automated Humans Machine Learning Algorithms
View on PubMed DOI

Classifier transfer with data selection strategies for online support vector machine classification with class imbalance.

Journal of neural engineering Feb 13, 2017
OBJECTIVE: Classifier transfers usually come with dataset shifts. To overcome dataset shifts in practical applications, we consider the limitations in computational resources in this paper for the adaptation of batch learning algorithms, like the sup...
Humans Algorithms Electroencephalography Data Mining Pattern Recognition, Automated Brain-Computer Interfaces Online Systems Sensitivity and Specificity Support Vector Machine Models, Neurological Brain Computer Simulation Reproducibility of Results
View on PubMed DOI
Popular Topics
Recent Journals