AIMC Topic: Neural Pathways
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Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?
International journal of neural systems
Jul 26, 2018
Spatial and intensity normalizations are nowadays a prerequisite for neuroimaging analysis. Influenced by voxel-wise and other univariate comparisons, where these corrections are key, they are commonly applied to any type of analysis and imaging moda...
Diagnostic model for attention-deficit hyperactivity disorder based on interregional morphological connectivity.
Neuroscience letters
Jul 19, 2018
Previous brain morphology-related diagnostic models for attention-deficit hyperactivity disorder (ADHD) were based on regional features. However, building a model of individual interregional morphological connectivity is a challenging task. This stud...
Spiking networks as efficient distributed controllers.
Biological cybernetics
Jun 27, 2018
In the brain, networks of neurons produce activity that is decoded into perceptions and actions. How the dynamics of neural networks support this decoding is a major scientific question. That is, while we understand the basic mechanisms by which neur...
Disrupted functional connectivity within the default mode network and salience network in unmedicated bipolar II disorder.
Progress in neuro-psychopharmacology & biological psychiatry
Jun 26, 2018
BACKGROUND: Recent studies demonstrate that functional disruption in resting-state networks contributes to cognitive and affective symptoms of bipolar disorder (BD), however, the functional connectivity (FC) pattern underlying BD II depression within...
Interhemispheric dominance switching in a neural network model for birdsong.
Journal of neurophysiology
Jun 20, 2018
Male zebra finches produce a sequence-invariant set of syllables, separated by short inspiratory gaps. These songs are learned from an adult tutor and maintained throughout life, making them a tractable model system for learned, sequentially ordered ...
Assessing functional connectivity across 3D tissue engineered axonal tracts using calcium fluorescence imaging.
Journal of neural engineering
Jun 1, 2018
OBJECTIVE: Micro-tissue engineered neural networks (micro-TENNs) are anatomically-inspired constructs designed to structurally and functionally emulate white matter pathways in the brain. These 3D neural networks feature long axonal tracts spanning d...
Structured networks support sparse traveling waves in rodent somatosensory cortex.
Proceedings of the National Academy of Sciences of the United States of America
Apr 30, 2018
Neurons responding to different whiskers are spatially intermixed in the superficial layer 2/3 (L2/3) of the rodent barrel cortex, where a single whisker deflection activates a sparse, distributed neuronal population that spans multiple cortical colu...
Transferring and generalizing deep-learning-based neural encoding models across subjects.
NeuroImage
Apr 27, 2018
Recent studies have shown the value of using deep learning models for mapping and characterizing how the brain represents and organizes information for natural vision. However, modeling the relationship between deep learning models and the brain (or ...
The role of phase shifts of sensory inputs in walking revealed by means of phase reduction.
Journal of computational neuroscience
Mar 27, 2018
Detailed neural network models of animal locomotion are important means to understand the underlying mechanisms that control the coordinated movement of individual limbs. Daun-Gruhn and Tóth, Journal of Computational Neuroscience 31(2), 43-60 (2011) ...
Resting-state functional connectivity predicts the ability to adapt arm reaching in a robot-mediated force field.
NeuroImage
Mar 26, 2018
Motor deficits are common outcomes of neurological conditions such as stroke. In order to design personalised motor rehabilitation programmes such as robot-assisted therapy, it would be advantageous to predict how a patient might respond to such trea...
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