AIMC Topic: Macaca mulatta

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A large-scale neural network training framework for generalized estimation of single-trial population dynamics.

Nature methods Nov 28, 2022
Achieving state-of-the-art performance with deep neural population dynamics models requires extensive hyperparameter tuning for each dataset. AutoLFADS is a model-tuning framework that automatically produces high-performing autoencoding models on dat...
Population Dynamics Motor Cortex Macaca mulatta Somatosensory Cortex Neural Networks, Computer Animals
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Positional SHAP (PoSHAP) for Interpretation of machine learning models trained from biological sequences.

PLoS computational biology Jan 28, 2022
Machine learning with multi-layered artificial neural networks, also known as "deep learning," is effective for making biological predictions. However, model interpretation is challenging, especially for sequential input data used with recurrent neur...
Computational Biology Models, Biological Amino Acid Sequence Binding Sites Animals Peptides Deep Learning Sequence Analysis, Protein Macaca mulatta Humans
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Visual prototypes in the ventral stream are attuned to complexity and gaze behavior.

Nature communications Nov 18, 2021
Early theories of efficient coding suggested the visual system could compress the world by learning to represent features where information was concentrated, such as contours. This view was validated by the discovery that neurons in posterior visual ...
Visual Perception Macaca mulatta Pattern Recognition, Visual Visual Cortex Fixation, Ocular Form Perception Visual Pathways Male Models, Neurological Neurons Photic Stimulation Neural Networks, Computer Algorithms Animals
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Uncovering structured responses of neural populations recorded from macaque monkeys with linear support vector machines.

STAR protocols Aug 12, 2021
When a mammal, such as a macaque monkey, sees a complex natural image, many neurons in its visual cortex respond simultaneously. Here, we provide a protocol for studying the structure of population responses in laminar recordings with a machine learn...
Animals Neurons Vision, Ocular Macaca mulatta Visual Cortex Male Support Vector Machine Magnetic Resonance Imaging Signal Processing, Computer-Assisted
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Tuned inhibition in perceptual decision-making circuits can explain seemingly suboptimal confidence behavior.

PLoS computational biology Mar 29, 2021
Current dominant views hold that perceptual confidence reflects the probability that a decision is correct. Although these views have enjoyed some empirical support, recent behavioral results indicate that confidence and the probability of being corr...
Inhibition, Psychological Macaca mulatta Superior Colliculi Decision Making Reaction Time Perception Neural Networks, Computer Animals Male Computational Biology Models, Neurological
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Behavioral validation of novel high resolution attention decoding method from multi-units & local field potentials.

NeuroImage Feb 11, 2021
The ability to access brain information in real-time is crucial both for a better understanding of cognitive functions and for the development of therapeutic applications based on brain-machine interfaces. Great success has been achieved in the field...
Photic Stimulation Macaca mulatta Male Prefrontal Cortex Attention Psychomotor Performance Machine Learning Reproducibility of Results Animals
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Strong inhibitory signaling underlies stable temporal dynamics and working memory in spiking neural networks.

Nature neuroscience Dec 7, 2020
Cortical neurons process information on multiple timescales, and areas important for working memory (WM) contain neurons capable of integrating information over a long timescale. However, the underlying mechanisms for the emergence of neuronal timesc...
Neural Networks, Computer Memory, Short-Term Neurons Psychomotor Performance Cerebral Cortex White Matter Nerve Net Animals Neural Inhibition Male Macaca mulatta Prefrontal Cortex Machine Learning Models, Neurological Algorithms Computer Simulation
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A goal-driven modular neural network predicts parietofrontal neural dynamics during grasping.

Proceedings of the National Academy of Sciences of the United States of America Nov 30, 2020
One of the primary ways we interact with the world is using our hands. In macaques, the circuit spanning the anterior intraparietal area, the hand area of the ventral premotor cortex, and the primary motor cortex is necessary for transforming visual ...
Arm Models, Animal Motor Activity Frontal Lobe Parietal Lobe Macaca mulatta Male Models, Neurological Hand Strength Hand Neural Networks, Computer Female Animals
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Early Emergence of Solid Shape Coding in Natural and Deep Network Vision.

Current biology : CB Oct 22, 2020
Area V4 is the first object-specific processing stage in the ventral visual pathway, just as area MT is the first motion-specific processing stage in the dorsal pathway. For almost 50 years, coding of object shape in V4 has been studied and conceived...
Deep Learning Form Perception Models, Neurological Visual Pathways Electroencephalography Photic Stimulation Animals Intravital Microscopy Macaca mulatta Neurons Male Microscopy, Fluorescence, Multiphoton Visual Cortex Electrodes, Implanted
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Experimentally revealed stochastic preferences for multicomponent choice options.

Journal of experimental psychology. Animal learning and cognition Jul 27, 2020
Realistic, everyday rewards contain multiple components. An apple has taste and size. However, we choose in single dimensions, simply preferring some apples to others. How can such single-dimensional preference relationships refer to multicomponent c...
Magnetic Resonance Imaging Psychophysics Young Adult Reward Economics, Behavioral Humans Adult Machine Learning Species Specificity Animals Female Behavior, Animal Male Macaca mulatta Choice Behavior
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