AIMC Topic: Nerve Net
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Random walks on B distributed resting-state functional connectivity to identify Alzheimer's disease and Mild Cognitive Impairment.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Aug 16, 2021
OBJECTIVE: Resting-state functional connectivity reveals a promising way for the early detection of dementia. This study proposes a novel method to accurately classify Healthy Controls, Early Mild Cognitive Impairment, Late Mild Cognitive Impairment,...
A strategy for mapping biophysical to abstract neuronal network models applied to primary visual cortex.
PLoS computational biology
Aug 16, 2021
A fundamental challenge for the theoretical study of neuronal networks is to make the link between complex biophysical models based directly on experimental data, to progressively simpler mathematical models that allow the derivation of general opera...
Identifying resting state differences salient for resilience to chronic pain based on machine learning multivariate pattern analysis.
Psychophysiology
Aug 12, 2021
Studies have documented behavior differences between more versus less resilient adults with chronic pain (CP), but the presence and nature of underlying neurophysiological differences have received scant attention. In this study, we attempted to iden...
Structured patterns of activity in pulse-coupled oscillator networks with varied connectivity.
PloS one
Aug 11, 2021
Identifying coordinated activity within complex systems is essential to linking their structure and function. We study collective activity in networks of pulse-coupled oscillators that have variable network connectivity and integrate-and-fire dynamic...
Dendritic normalisation improves learning in sparsely connected artificial neural networks.
PLoS computational biology
Aug 9, 2021
Artificial neural networks, taking inspiration from biological neurons, have become an invaluable tool for machine learning applications. Recent studies have developed techniques to effectively tune the connectivity of sparsely-connected artificial n...
Long-Tailed Characteristic of Spiking Pattern Alternation Induced by Log-Normal Excitatory Synaptic Distribution.
IEEE transactions on neural networks and learning systems
Aug 3, 2021
Studies of structural connectivity at the synaptic level show that in synaptic connections of the cerebral cortex, the excitatory postsynaptic potential (EPSP) in most synapses exhibits sub-mV values, while a small number of synapses exhibit large EP...
Organization of areal connectivity in the monkey frontoparietal network.
NeuroImage
Jul 20, 2021
Activity observed in biological neural networks is determined by anatomical connectivity between cortical areas. The monkey frontoparietal network facilitates cognitive functions, but the organization of its connectivity is unknown. Here, a new conne...
Deep learning for sex classification in resting-state and task functional brain networks from the UK Biobank.
NeuroImage
Jul 20, 2021
Classification of whole-brain functional connectivity MRI data with convolutional neural networks (CNNs) has shown promise, but the complexity of these models impedes understanding of which aspects of brain activity contribute to classification. Whil...
Partial information decomposition reveals that synergistic neural integration is greater downstream of recurrent information flow in organotypic cortical cultures.
PLoS computational biology
Jul 12, 2021
The directionality of network information flow dictates how networks process information. A central component of information processing in both biological and artificial neural networks is their ability to perform synergistic integration-a type of co...
Maturity of gray matter structures and white matter connectomes, and their relationship with psychiatric symptoms in youth.
Human brain mapping
Jul 9, 2021
Brain predicted age difference, or BrainPAD, compares chronological age to an age estimate derived by applying machine learning (ML) to MRI brain data. BrainPAD studies in youth have been relatively limited, often using only a single MRI modality or ...
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