AIMC Topic: Macaca mulatta

Clear Filters Showing 41 to 50 of 71 articles

Evidence that recurrent circuits are critical to the ventral stream's execution of core object recognition behavior.

Nature neuroscience Apr 29, 2019
Non-recurrent deep convolutional neural networks (CNNs) are currently the best at modeling core object recognition, a behavior that is supported by the densely recurrent primate ventral stream, culminating in the inferior temporal (IT) cortex. If rec...
Recognition, Psychology Visual Perception Macaca mulatta Humans Temporal Lobe Neural Networks, Computer Animals
View on PubMed DOI

Deep convolutional models improve predictions of macaque V1 responses to natural images.

PLoS computational biology Apr 23, 2019
Despite great efforts over several decades, our best models of primary visual cortex (V1) still predict spiking activity quite poorly when probed with natural stimuli, highlighting our limited understanding of the nonlinear computations in V1. Recent...
Macaca mulatta Visual Cortex Models, Neurological Neurons Visual Perception Neural Networks, Computer Algorithms Animals Male Computational Biology
View on PubMed DOI

Decoding Movements from Cortical Ensemble Activity Using a Long Short-Term Memory Recurrent Network.

Neural computation Apr 12, 2019
Although many real-time neural decoding algorithms have been proposed for brain-machine interface (BMI) applications over the years, an optimal, consensual approach remains elusive. Recent advances in deep learning algorithms provide new opportunitie...
Neural Networks, Computer Motor Cortex Macaca mulatta Somatosensory Cortex Animals Brain-Computer Interfaces Movement
View on PubMed DOI

'Artiphysiology' reveals V4-like shape tuning in a deep network trained for image classification.

eLife Dec 20, 2018
Deep networks provide a potentially rich interconnection between neuroscientific and artificial approaches to understanding visual intelligence, but the relationship between artificial and neural representations of complex visual form has not been el...
Photic Stimulation Macaca mulatta Animals Image Processing, Computer-Assisted Neurons Neural Networks, Computer Computer Simulation
View on PubMed DOI

Human-level saccade detection performance using deep neural networks.

Journal of neurophysiology Dec 19, 2018
Saccades are ballistic eye movements that rapidly shift gaze from one location of visual space to another. Detecting saccades in eye movement recordings is important not only for studying the neural mechanisms underlying sensory, motor, and cognitive...
Humans Male Macaca mulatta Saccades Neural Networks, Computer Sensitivity and Specificity Animals
View on PubMed DOI

Identification of Immune Signatures of Novel Adjuvant Formulations Using Machine Learning.

Scientific reports Nov 30, 2018
Adjuvants have long been critical components of vaccines, but the exact mechanisms of their action and precisely how they alter or enhance vaccine-induced immune responses are often unclear. In this study, we used broad immunoprofiling of antibody, c...
Machine Learning Vaccines Liposomes Dose-Response Relationship, Immunologic CD8-Positive T-Lymphocytes Macaca mulatta CD4-Positive T-Lymphocytes Adjuvants, Immunologic Cytokines Animals Immunity, Cellular
View on PubMed DOI

Large-Scale, High-Resolution Comparison of the Core Visual Object Recognition Behavior of Humans, Monkeys, and State-of-the-Art Deep Artificial Neural Networks.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jul 13, 2018
Primates, including humans, can typically recognize objects in visual images at a glance despite naturally occurring identity-preserving image transformations (e.g., changes in viewpoint). A primary neuroscience goal is to uncover neuron-level mechan...
Macaca mulatta Pattern Recognition, Visual Recognition, Psychology Psychophysics Discrimination, Psychological Male Models, Neurological Species Specificity Humans Neural Networks, Computer Animals
View on PubMed DOI

Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis.

Neuron Jun 7, 2018
Perceptions, thoughts, and actions unfold over millisecond timescales, while learned behaviors can require many days to mature. While recent experimental advances enable large-scale and long-term neural recordings with high temporal fidelity, it rema...
Unsupervised Machine Learning Principal Component Analysis Brain-Computer Interfaces Motor Cortex Macaca mulatta Spatial Navigation Prefrontal Cortex Time Factors Mice Neural Networks, Computer Animals
View on PubMed DOI

Bayesian convolutional neural network based MRI brain extraction on nonhuman primates.

NeuroImage Mar 28, 2018
Brain extraction or skull stripping of magnetic resonance images (MRI) is an essential step in neuroimaging studies, the accuracy of which can severely affect subsequent image processing procedures. Current automatic brain extraction methods demonstr...
Macaca mulatta Brain Female Animals Magnetic Resonance Imaging Bayes Theorem Neuroimaging Male Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Emergent coordination underlying learning to reach to grasp with a brain-machine interface.

Journal of neurophysiology Dec 13, 2017
The development of coordinated reach-to-grasp movement has been well studied in infants and children. However, the role of motor cortex during this development is unclear because it is difficult to study in humans. We took the approach of using a bra...
Motor Cortex Macaca mulatta Conditioning, Operant Arm Psychomotor Performance Brain-Computer Interfaces Behavior, Animal Motor Activity Amputation, Surgical Robotics Artificial Limbs Neurons Female Animals
View on PubMed DOI
Popular Topics
Recent Journals