AIMC Topic: Haplorhini

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Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference.

Nature neuroscience Aug 10, 2020
Sensory cortices display a suite of ubiquitous dynamical features, such as ongoing noise variability, transient overshoots and oscillations, that have so far escaped a common, principled theoretical account. We developed a unifying model for these ph...
Models, Neurological Haplorhini Visual Cortex Visual Pathways Humans Neural Networks, Computer Animals
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Improved object recognition using neural networks trained to mimic the brain's statistical properties.

Neural networks : the official journal of the International Neural Network Society Jul 29, 2020
The current state-of-the-art object recognition algorithms, deep convolutional neural networks (DCNNs), are inspired by the architecture of the mammalian visual system, and are capable of human-level performance on many tasks. As they are trained for...
Models, Neurological Pattern Recognition, Automated Haplorhini Pattern Recognition, Visual Neural Networks, Computer Animals Visual Cortex
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A versatile robotic platform for the design of natural, three-dimensional reaching and grasping tasks in monkeys.

Journal of neural engineering Dec 5, 2019
OBJECTIVE: Translational studies on motor control and neurological disorders require detailed monitoring of sensorimotor components of natural limb movements in relevant animal models. However, available experimental tools do not provide a sufficient...
Sensorimotor Cortex Robotics Equipment Design Psychomotor Performance Haplorhini Microelectrodes Movement Upper Extremity Macaca fascicularis Female Animals Hand Strength
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Clustering Neural Patterns in Kernel Reinforcement Learning Assists Fast Brain Control in Brain-Machine Interfaces.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 9, 2019
Neuroprosthesis enables the brain control on the external devices purely using neural activity for paralyzed people. Supervised learning decoders recalibrate or re-fit the discrepancy between the desired target and decoder's output, where the correct...
Machine Learning Attention Brain-Computer Interfaces Haplorhini Movement Algorithms Computer Simulation Animals Cluster Analysis Neural Prostheses Reinforcement, Psychology Motor Cortex Electrodes, Implanted
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A low-cost, automated parasite diagnostic system via a portable, robotic microscope and deep learning.

Journal of biophotonics May 30, 2019
Manual hand counting of parasites in fecal samples requires costly components and substantial expertise, limiting its use in resource-constrained settings and encouraging overuse of prophylactic medication. To address this issue, a cost-effective, au...
Drug Resistance Parasitemia Eimeria Anthelmintics Specimen Handling Haplorhini Image Processing, Computer-Assisted Robotics Dogs Goats Microscopy Sheep Pattern Recognition, Automated Machine Learning Animals Deep Learning Feces Neural Networks, Computer
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Electrical stimulation in a spiking neural network model of monkey superior colliculus.

Progress in brain research May 10, 2019
The superior colliculus (SC) generates saccades by recruiting a population of cells in its topographically organized motor map. Supra-threshold electrical stimulation in the SC produces a normometric saccade with little effect of the stimulation para...
Neural Networks, Computer Biomechanical Phenomena Animals Models, Neurological Nerve Net Saccades Superior Colliculi Haplorhini Electric Stimulation Electrophysiological Phenomena
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Microstimulation in a spiking neural network model of the midbrain superior colliculus.

PLoS computational biology Apr 12, 2019
The midbrain superior colliculus (SC) generates a rapid saccadic eye movement to a sensory stimulus by recruiting a population of cells in its topographically organized motor map. Supra-threshold electrical microstimulation in the SC reveals that the...
Saccades Superior Colliculi Animals Computational Biology Models, Neurological Action Potentials Neurons Nerve Net Haplorhini Electric Stimulation Humans Neural Networks, Computer
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Design, synthesis and biological evaluation of 7H-pyrrolo[2,3-d]pyrimidin-4-amine derivatives as selective Btk inhibitors with improved pharmacokinetic properties for the treatment of rheumatoid arthritis.

European journal of medicinal chemistry Dec 28, 2017
Bruton's tyrosine kinase (Btk) is a Tec family kinase with a well-defined role in the B cell receptor (BCR) and Fcγ receptor (FcR) signaling pathways, which makes it a uniquely attractive target for the treatment of autoimmune diseases, such as rheum...
Pyrimidines Agammaglobulinaemia Tyrosine Kinase Haplorhini Pyrroles Dogs Microsomes, Liver Protein Kinase Inhibitors Rats, Sprague-Dawley Dose-Response Relationship, Drug Cell Line Protein-Tyrosine Kinases Structure-Activity Relationship Models, Molecular Molecular Structure Mice Arthritis, Rheumatoid Rats Cell Proliferation Humans Animals Drug Design
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A loop-based neural architecture for structured behavior encoding and decoding.

Neural networks : the official journal of the International Neural Network Society Dec 8, 2017
We present a new type of artificial neural network that generalizes on anatomical and dynamical aspects of the mammal brain. Its main novelty lies in its topological structure which is built as an array of interacting elementary motifs shaped like lo...
Animals Neurons Haplorhini Humans Neural Networks, Computer Artificial Intelligence Brain
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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...
Alcoholic Intoxication Self Administration Macaca mulatta Male Ethanol Motivation Haplorhini Forecasting Female Animals Machine Learning
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