AIMC Topic: Macaca mulatta

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A cryptography-based approach for movement decoding.

Nature biomedical engineering Dec 12, 2017
Brain decoders use neural recordings to infer the activity or intent of a user. To train a decoder, one generally needs to infer the measured variables of interest (covariates) from simultaneously measured neural activity. However, there are cases fo...
Machine Learning Brain-Computer Interfaces Movement Algorithms Motor Cortex Macaca mulatta Animals Models, Neurological Data Interpretation, Statistical Neurons
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Statistics of Visual Responses to Image Object Stimuli from Primate AIT Neurons to DNN Neurons.

Neural computation Nov 21, 2017
Under the goal-driven paradigm, Yamins et al. ( 2014 ; Yamins & DiCarlo, 2016 ) have shown that by optimizing only the final eight-way categorization performance of a four-layer hierarchical network, not only can its top output layer quantitatively p...
Neural Networks, Computer Animals Image Processing, Computer-Assisted Macaca mulatta Models, Neurological Pattern Recognition, Automated Action Potentials Cerebral Cortex Neurons Statistics as Topic Visual Perception
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Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons.

Journal of computational neuroscience Nov 15, 2017
Voltage-sensitive dye imaging (VSDi) has revealed fundamental properties of neocortical processing at macroscopic scales. Since for each pixel VSDi signals report the average membrane potential over hundreds of neurons, it seems natural to use a mean...
Membrane Potentials Voltage-Sensitive Dye Imaging Cerebral Cortex Nerve Net Photic Stimulation Macaca mulatta Neural Networks, Computer Animals Male Models, Neurological Neurons Nonlinear Dynamics Synapses
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Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex.

The Journal of neuroscience : the official journal of the Society for Neuroscience Oct 6, 2017
Complex cognitive behaviors, such as context-switching and rule-following, are thought to be supported by the prefrontal cortex (PFC). Neural activity in the PFC must thus be specialized to specific tasks while retaining flexibility. Nonlinear "mixed...
Female Animals Male Prefrontal Cortex Algorithms Computer Simulation Learning Macaca mulatta Cognition Cluster Analysis Models, Neurological Neurons Neural Networks, Computer Machine Learning
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Identifying Future Drinkers: Behavioral Analysis of Monkeys Initiating Drinking to Intoxication is Predictive of Future Drinking Classification.

Alcoholism, clinical and experimental research Feb 16, 2017
BACKGROUND: The Monkey Alcohol Tissue Research Resource (MATRR) is a repository and analytics platform for detailed data derived from well-documented nonhuman primate (NHP) alcohol self-administration studies. This macaque model has demonstrated cate...
Ethanol Motivation Haplorhini Alcoholic Intoxication Self Administration Macaca mulatta Forecasting Female Animals Male Machine Learning
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EXiO-A Brain-Controlled Lower Limb Exoskeleton for Rhesus Macaques.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 26, 2017
Recent advances in the field of brain-machine interfaces (BMIs) have demonstrated enormous potential to shape the future of rehabilitation and prosthetic devices. Here, a lower-limb exoskeleton controlled by the intracortical activity of an awake beh...
Exoskeleton Device Macaca mulatta Animals Robotics Equipment Design Gait Artificial Limbs Brain-Computer Interfaces Task Performance and Analysis Equipment Failure Analysis Female Reproducibility of Results Sensitivity and Specificity
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Control of Redundant Kinematic Degrees of Freedom in a Closed-Loop Brain-Machine Interface.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 21, 2016
Brain-machine interface (BMI) systems use signals acquired from the brain to directly control the movement of an actuator, such as a computer cursor or a robotic arm, with the goal of restoring motor function lost due to injury or disease of the nerv...
Male Robotics Electroencephalography Biofeedback, Psychology Artificial Limbs Models, Biological Brain-Computer Interfaces Task Performance and Analysis Feedback, Physiological Computer Simulation Animals Joints Exoskeleton Device Man-Machine Systems Macaca mulatta
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Demixed principal component analysis of neural population data.

eLife Apr 12, 2016
Neurons in higher cortical areas, such as the prefrontal cortex, are often tuned to a variety of sensory and motor variables, and are therefore said to display mixed selectivity. This complexity of single neuron responses can obscure what information...
Sensory Receptor Cells Motor Neurons Multifactor Dimensionality Reduction Animals Reward Rats Macaca mulatta Datasets as Topic Prefrontal Cortex Decision Making Spatial Navigation Task Performance and Analysis Principal Component Analysis Olfactory Perception Memory, Short-Term
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Implicit Value Updating Explains Transitive Inference Performance: The Betasort Model.

PLoS computational biology Sep 25, 2015
Transitive inference (the ability to infer that B > D given that B > C and C > D) is a widespread characteristic of serial learning, observed in dozens of species. Despite these robust behavioral effects, reinforcement learning models reliant on rewa...
Models, Neurological Learning Humans Models, Statistical Animals Reward Male Macaca mulatta Machine Learning Computational Biology Algorithms
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A tree-like Bayesian structure learning algorithm for small-sample datasets from complex biological model systems.

BMC systems biology Aug 28, 2015
BACKGROUND: There are increasing efforts to bring high-throughput systems biology techniques to bear on complex animal model systems, often with a goal of learning about underlying regulatory network structures (e.g., gene regulatory networks). Howev...
Transcription, Genetic Macaca mulatta Machine Learning Systems Biology Algorithms Bayes Theorem Animals Malaria Gene Expression Profiling
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