AIMC Topic: Neural Pathways

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New insights into olivo-cerebellar circuits for learning from a small training sample.

Current opinion in neurobiology Aug 19, 2017
Artificial intelligence such as deep neural networks exhibited remarkable performance in simulated video games and 'Go'. In contrast, most humanoid robots in the DARPA Robotics Challenge fell down to ground. The dramatic contrast in performance is ma...
Cerebellum Neural Pathways Olivary Nucleus Neural Networks, Computer Machine Learning Animals Humans
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Multi-Connection Pattern Analysis: Decoding the representational content of neural communication.

NeuroImage Aug 13, 2017
The lack of multivariate methods for decoding the representational content of interregional neural communication has left it difficult to know what information is represented in distributed brain circuit interactions. Here we present Multi-Connection...
Brain Computer Simulation Magnetic Resonance Imaging Models, Neurological Humans Machine Learning Algorithms Nerve Net Brain Mapping Pattern Recognition, Automated Neural Pathways
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Leg-local neural mechanisms for searching and learning enhance robotic locomotion.

Biological cybernetics Aug 7, 2017
Adapting motor output based on environmental forces is critical for successful locomotion in the real world. Arthropods use at least two neural mechanisms to adjust muscle activation while walking based on detected forces. Mechanism 1 uses negative f...
Biomechanical Phenomena Animals Models, Neurological Learning Robotics Feedback, Sensory Locomotion Neurons Neural Pathways Hindlimb Central Pattern Generators
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Deep learning with convolutional neural networks for EEG decoding and visualization.

Human brain mapping Aug 7, 2017
Deep learning with convolutional neural networks (deep ConvNets) has revolutionized computer vision through end-to-end learning, that is, learning from the raw data. There is increasing interest in using deep ConvNets for end-to-end EEG analysis, but...
Space Perception Brain Humans Imagination Language Neural Pathways Machine Learning Brain Mapping Electroencephalography Motor Activity Brain-Computer Interfaces
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Machine Learning of Functional Magnetic Resonance Imaging Network Connectivity Predicts Substance Abuse Treatment Completion.

Biological psychiatry. Cognitive neuroscience and neuroimaging Aug 1, 2017
BACKGROUND: Successfully treating illicit drug use has become paramount, yet elusive. Devising specialized treatment interventions could increase positive outcomes, but it is necessary to identify risk factors of poor long-term outcomes to develop sp...
Neural Pathways Magnetic Resonance Imaging Adult Central Nervous System Stimulants Substance-Related Disorders Humans Male Corpus Striatum Cerebral Cortex Machine Learning Middle Aged Gyrus Cinguli Female
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Phenomenological network models: Lessons for epilepsy surgery.

Epilepsia Jul 26, 2017
The current opinion in epilepsy surgery is that successful surgery is about removing pathological cortex in the anatomic sense. This contrasts with recent developments in epilepsy research, where epilepsy is seen as a network disease. Computational m...
Humans Neural Networks, Computer Neural Pathways Electroencephalography Epilepsy
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Abnormal regional homogeneity as a potential imaging biomarker for adolescent-onset schizophrenia: A resting-state fMRI study and support vector machine analysis.

Schizophrenia research Jun 3, 2017
OBJECTIVE: Structural and functional abnormalities have been reported in the brain of patients with adolescent-onset schizophrenia (AOS). The brain regional functional synchronization in patients with AOS remains unclear.
Neural Pathways Brain Mapping ROC Curve Humans Schizophrenia Support Vector Machine Rest Brain Magnetic Resonance Imaging Case-Control Studies Adolescent Female Male
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Familiarity Detection is an Intrinsic Property of Cortical Microcircuits with Bidirectional Synaptic Plasticity.

eNeuro May 22, 2017
Humans instantly recognize a previously seen face as "familiar." To deepen our understanding of familiarity-novelty detection, we simulated biologically plausible neural network models of generic cortical microcircuits consisting of spiking neurons w...
Neural Networks, Computer Computer Simulation Learning Unsupervised Machine Learning Discriminant Analysis Neuronal Plasticity Action Potentials Humans Recognition, Psychology Cerebral Cortex Neurons Neural Pathways Calcium Facial Recognition Receptors, N-Methyl-D-Aspartate
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Mapping brain structure and function: cellular resolution, global perspective.

Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology Mar 24, 2017
A comprehensive understanding of the brain requires analysis, although from a global perspective, with cellular, and even subcellular, resolution. An important step towards this goal involves the establishment of three-dimensional high-resolution bra...
Medical Illustration History, Ancient Brain Mapping Neuroimaging Neural Pathways Humans Brain Neural Networks, Computer Animals
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Cracking the barcode of fullerene-like cortical microcolumns.

Neuroscience letters Feb 24, 2017
Artificial neural systems and nervous graph theoretical analysis rely upon the stance that the neural code is embodied in logic circuits, e.g., spatio-temporal sequences of ON/OFF spiking neurons. Nevertheless, this assumption does not fully explain ...
Brain Animals Models, Neurological Neurons Humans Neural Pathways Neural Networks, Computer Fullerenes
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