Results 101 to 110 of about 126,855 (275)
Generic decoding of seen and imagined objects using hierarchical visual features
Nature Communications, 2017 Machine learning algorithms can decode objects that people see or imagine from their brain activity. Here the authors present a predictive decoder combined with deep neural network representations that generalizes beyond the training set and correctly ...
Tomoyasu Horikawa, Yukiyasu Kamitani
doaj +1 more source
F1000Research, 2017 The detailed biophysical mechanisms through which transcranial magnetic stimulation (TMS) activates cortical circuits are still not fully understood. Here we present a multi-scale computational model to describe and explain the activation of different ...
Hyeon Seo +3 more
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Computational Neuroscience Ontology: a new tool to provide semantic meaning to your models [PDF]
The diversity of modeling approaches in computational neuroscience makes model sharing, retrieval, reuse and reproducibility difficult and even sometimes impossible.
Larson, Stephen D +9 more
core
Advanced Science, EarlyView.We uncover a large variety of putative inhibitory ligand‐gated ion channels (LGICs) in the phylum Cnidaria, the sister group to all bilaterian animals. Phylogenetic analysis suggests a complex evolutionary history of inhibitory LGICs with diverse neurotransmitter ligands.
Abhilasha Ojha +13 more
wiley +1 more source
Structural plasticity controlled by calcium based correlation detection
Frontiers in Computational Neuroscience, 2008 Hebbian learning in cortical networks during development and adulthood relies on the presence of a mechanism to detect correlation between the presynaptic and the postsynaptic spiking activity.
Moritz Helias +8 more
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Autism spectrum disorder is a complex and diverse neurobiological condition. Understanding the mechanisms and causes of the disorder requires an in-depth study and modeling of the immune, mitochondrial, and neurological systems.
Pantelis Pergantis +3 more
core +1 more source
The 9th annual computational and systems neuroscience (cosyne) meeting [PDF]
, 2012 The 9th annual Computational and Systems Neuroscience meeting (Cosyne) was held 23-26 February in Salt Lake City, Utah. Cosyne meeting is the forum for exchange of experimental and theoretical/computational approaches to studying systems ...
Grabska-Barwińska, A +3 more
core +1 more source
Adipocyte‐Derived Leptolin Enhances Energy Expenditure and Prevents Obesity
Advanced Science, EarlyView.We identified a novel adipokine, which we named leptolin. In humans, leptolin levels in white adipose tissue were positively correlated with exercise and negatively associated with body mass index. We observed elevated leptolin in serum from athletes and lower leptolin in serum from obese individuals.
Jiarui Liu +17 more
wiley +1 more source
F1000Research, 2016 Neuronal activity in the central nervous system varies strongly in time and across neuronal populations. It is a longstanding proposal that such fluctuations generically arise from chaotic network dynamics.
Rainer Engelken +4 more
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Personalized Network‐Guided Neuromodulation Enhances Human Working Memory
Advanced Science, EarlyView.A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan +13 more
wiley +1 more source