AIMC Topic: Models, Neurological

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A Hybrid CMOS-Memristor Neuromorphic Synapse.

IEEE transactions on biomedical circuits and systems Dec 22, 2016
Although data processing technology continues to advance at an astonishing rate, computers with brain-like processing capabilities still elude us. It is envisioned that such computers may be achieved by the fusion of neuroscience and nano-electronics...
Synapses Neural Networks, Computer Animals Semiconductors Electronics Models, Neurological Neurons
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Decision making under uncertainty in a spiking neural network model of the basal ganglia.

Journal of integrative neuroscience Dec 21, 2016
The mechanisms of decision-making and action selection are generally thought to be under the control of parallel cortico-subcortical loops connecting back to distinct areas of cortex through the basal ganglia and processing motor, cognitive and limbi...
Neuronal Plasticity Models, Neurological Decision Making Neural Networks, Computer Animals Cerebral Cortex Motor Activity Uncertainty Basal Ganglia Neurons Reward Synapses Extinction, Psychological Reversal Learning Macaca
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Comparison of Classifier Architectures for Online Neural Spike Sorting.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 19, 2016
High-density, intracranial recordings from micro-electrode arrays need to undergo Spike Sorting in order to associate the recorded neuronal spikes to particular neurons. This involves spike detection, feature extraction, and classification. To reduce...
Online Systems Neurons Pattern Recognition, Automated Models, Neurological Nerve Net Humans Action Potentials Machine Learning Animals Reproducibility of Results Models, Statistical Computer Simulation Computer Systems Sensitivity and Specificity
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Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia.

Scientific reports Dec 12, 2016
Neuroimaging-based models contribute to increasing our understanding of schizophrenia pathophysiology and can reveal the underlying characteristics of this and other clinical conditions. However, the considerable variability in reported neuroimaging ...
Female Psychotic Disorders Adult Neuroimaging Male Support Vector Machine Models, Neurological Magnetic Resonance Imaging Area Under Curve Humans Middle Aged Schizophrenia Neural Networks, Computer ROC Curve Brain
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Revealing unobserved factors underlying cortical activity with a rectified latent variable model applied to neural population recordings.

Journal of neurophysiology Dec 7, 2016
The activity of sensory cortical neurons is not only driven by external stimuli but also shaped by other sources of input to the cortex. Unlike external stimuli, these other sources of input are challenging to experimentally control, or even observe,...
Neurons Neural Networks, Computer Cerebral Cortex Animals Mice Touch Perception Models, Neurological Somatosensory Cortex Data Interpretation, Statistical
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Exponentially Long Orbits in Hopfield Neural Networks.

Neural computation Nov 21, 2016
We show that Hopfield neural networks with synchronous dynamics and asymmetric weights admit stable orbits that form sequences of maximal length. For [Formula: see text] units, these sequences have length [Formula: see text]; that is, they cover the ...
Neural Networks, Computer Brain Learning Neurons Neural Pathways Animals Models, Neurological Humans
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Modeling the N400 ERP component as transient semantic over-activation within a neural network model of word comprehension.

Cognition Nov 18, 2016
The study of the N400 event-related brain potential has provided fundamental insights into the nature of real-time comprehension processes, and its amplitude is modulated by a wide variety of stimulus and context factors. It is generally thought to r...
Evoked Potentials Reading Semantics Cerebral Cortex Comprehension Humans Neural Networks, Computer Models, Neurological
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Prediction of blood-brain barrier permeability of organic compounds.

Doklady. Biochemistry and biophysics Nov 6, 2016
Using fragmental descriptors and artificial neural networks, a predictive model of the relationship between the structure of organic compounds and their blood-brain barrier permeability was constructed and the structural factors affecting the readine...
Drug Discovery Molecular Structure Neural Networks, Computer Models, Cardiovascular Organic Chemicals Models, Chemical Blood-Brain Barrier Models, Neurological Capillary Permeability Animals
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Anti-correlations in the degree distribution increase stimulus detection performance in noisy spiking neural networks.

Journal of computational neuroscience Nov 4, 2016
Neuronal circuits in the rodent barrel cortex are characterized by stable low firing rates. However, recent experiments show that short spike trains elicited by electrical stimulation in single neurons can induce behavioral responses. Hence, the unde...
Models, Neurological Action Potentials Neural Networks, Computer Neurons Learning Nerve Net Neuronal Plasticity
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Unsupervised Learning in an Ensemble of Spiking Neural Networks Mediated by ITDP.

PLoS computational biology Oct 19, 2016
We propose a biologically plausible architecture for unsupervised ensemble learning in a population of spiking neural network classifiers. A mixture of experts type organisation is shown to be effective, with the individual classifier outputs combine...
Neural Networks, Computer Computer Simulation Humans Action Potentials Unsupervised Machine Learning Biological Clocks Neurons Pattern Recognition, Automated Animals Nerve Net Neuronal Plasticity Pattern Recognition, Physiological Models, Neurological
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