25 results for “Neural Networks”. Showing 25 of 39,449.
25th Annual Computational Neuroscience Meeting: CNS-2016.
Neural network as a scale-free network: the role of a hub B. Kahng
The Ventral Visual Pathway Represents Animal Appearance over Animacy, Unlike Human Behavior and Deep Neural Networks.
neural networks. Here, we show that neural networks can predict
Adaptation supports short-term memory in a visual change detection task
neural network, either a recurrent neural network (RNN) or a feedforward
Adaptation supports short-term memory in a visual change detection task
neural network, either a recurrent neural network (RNN) or a feedforward
A synthetic protein-level neural network in mammalian cells.
neural networks provide a powerful paradigm for nonbiological information processing
Genome-wide association neural networks identify genes linked to family history of Alzheimer's disease.
neural networks (GWANN)" a novel approach that uses neural networks
Artificial intelligence in ophthalmology.
neural networks, AAO = American Academy of Ophthalmology, CNN = convolutional neural
Generalized Recurrent Neural Network accommodating Dynamic Causal Modeling for functional MRI analysis.
Neural Networks (RNNs), a major family of deep learning techniques
Effects of local reduction of endogenous α-synuclein using antisense oligonucleotides on the fibril-induced propagation of pathology through the neural network in wild-type mice.
neural network. Here, we used the local injection of antisense
Recurrence analysis on prostate cancer patients with Gleason score 7 using integrated histopathology whole-slide images and genomic data through deep neural networks.
neural networks to identify a set of computational biomarkers. Using
Transition to chaos separates learning regimes and relates to measure of consciousness in recurrent neural networks
neural networks exhibit chaotic dynamics when the variance in their
Methods in neuronal modeling: From synapses to networks
networks to large scale neural networks in the mammalian nervous
Linking α-synuclein-induced synaptopathy and neural network dysfunction in early Parkinson's disease.
neural network activity. However, the relationships between synaptic defects and network
Central Mechanisms for Thermoregulation.
neural network. This orchestrates a complex behavioral and autonomic repertoire
Reconstructing Floorplans from Point Clouds Using GAN.
Neural Networks (DNN) can improve the efficiency of data processing
Comparison of 18F-FDG avidity at PET of benign and malignant pure ground-glass opacities: a paradox? Part II: artificial neural network integration of the PET/CT characteristics of ground-glass opacities to predict their likelihood of malignancy.
neural networks (ANNs) to predict the likelihood of malignancy of pure
An Image Analysis Algorithm for Dendritic Spines
neural networks. Dendrites, spines, and their dynamics are shaped by genetic
Imaging the Neural Symphony.
neural networks in an intact brain has become one of the holy
Predicting mRNA Abundance Directly from Genomic Sequence Using Deep Convolutional Neural Networks
neural networks toward that goal. Surprisingly, a model that includes
Predicting mRNA abundance directly from genomic sequence using deep convolutional neural networks
neural networks towards this goal. Surprisingly, a model that includes
Inhibitory Neural Network's Impairments at Hippocampal CA1 LTP in an Aged Transgenic Mouse Model of Alzheimer's Disease.
neural networks underlying hippocampal long-term potentiation (LTP) in 5xFAD
Somatosensory neuron types and their neural networks as revealed via single-cell transcriptomics.
somatosensory system at the molecular, cellular, and neural network levels.
PHTNet: Characterization and Deep Mining of Involuntary Pathological Hand Tremor using Recurrent Neural Network Models.
neural networks. The PHTNet is developed over a hand motion
Effective deep convolutional neural network with attention mechanism for Alzheimer disease classification.
Neural Network (Deep-CNN) with Attention mechanism is proposed to augment
Biophysics of Computation
Neural network research often builds on the fiction that neurons