Results 61 to 70 of about 1,932,979 (312)
A Supervised STDP-based Training Algorithm for Living Neural Networks
Neural networks have shown great potential in many applications like speech recognition, drug discovery, image classification, and object detection.
Berdichevsky, Yevgeny +6 more
core +1 more source
Mitochondrial fatty acid oxidation is stimulated by red light irradiation
Light at different wavelengths has distinct effects on keratinocyte viability and metabolism. UVA light abrogates metabolic fluxes. Blue and green light have no effect on metabolic fluxes, while red light enhanced oxidative phosphorylation by promoting fatty acid oxidation. Keratinocytes are the primary constituents of sunlight‐exposed epidermis.
Manuel Alejandro Herrera +4 more
wiley +1 more source
Implementing artificial neural networks through bionic construction.
It is evident through biology research that, biological neural network could be implemented through two means: by congenital heredity, or by posteriority learning.
Hu He +9 more
doaj +1 more source
Simple Summary Pessoa postulates that bran anatomy associated with the processing and expression of emotion-laden content, such as the amygdala and limbic cortices, is resource capacity-limited.
K. Clark
semanticscholar +1 more source
Emergence of Synchronous Oscillations in Neural Networks Excited by Noise
The presence of noise in non linear dynamical systems can play a constructive role, increasing the degree of order and coherence or evoking improvements in the performance of the system. An example of this positive influence in a biological system is the
FitzHugh +17 more
core +1 more source
The role of fibroblast growth factors in cell and cancer metabolism
Fibroblast growth factor (FGF) signaling regulates crucial signaling cascades that promote cell proliferation, survival, and metabolism. Therefore, FGFs and their receptors are often dysregulated in human diseases, including cancer, to sustain proliferation and rewire metabolism.
Jessica Price, Chiara Francavilla
wiley +1 more source
Most brain-computer interfaces (BCIs) focus on detecting single aspects of user states (e.g., motor imagery) in the electroencephalogram (EEG) in order to use these aspects as control input for external systems.
Sebastian Grissmann +10 more
doaj +1 more source
A Cre‐dependent lentiviral vector for neuron subtype‐specific expression of large proteins
We designed a versatile and modular lentivector comprising a Cre‐dependent switch and self‐cleaving 2A peptide and tested it for co‐expression of GFP and a 2.8 kb gene of interest (GOI) in mouse cortical parvalbumin (PV+) interneurons and midbrain dopamine (TH+) neurons.
Weixuan Xue +6 more
wiley +1 more source
Bio-inspired Neural Network with Visual Invariant Response to Moving Pedestrian [PDF]
Visual invariance is a cardinal neural tuning response for the cognitive function in biological vision-brain systems,but no computational model has been reported for one such issue to the moving pedestrian vision perception.To fill this gap,a bio ...
YU Shihai, HU Bin
doaj +1 more source
Spiking Neural Networks (SNNs) are considered as the third generation of artificial neural networks, which are more closely with information processing in biological brains.
Dongcheng Zhao +4 more
semanticscholar +1 more source

