AIMC Topic: Haplorhini
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Public sentiment on the global outbreak of monkeypox: an unsupervised machine learning analysis of 352,182 twitter posts.
Public health
Oct 26, 2022
OBJECTIVES: This study aimed to study the public's sentiments on the current monkeypox outbreaks via an unsupervised machine learning analysis of social media posts.
Recurrent neural networks with explicit representation of dynamic latent variables can mimic behavioral patterns in a physical inference task.
Nature communications
Oct 4, 2022
Primates can richly parse sensory inputs to infer latent information. This ability is hypothesized to rely on establishing mental models of the external world and running mental simulations of those models. However, evidence supporting this hypothesi...
Adaptive Modular Convolutional Neural Network for Image Recognition.
Sensors (Basel, Switzerland)
Jul 22, 2022
Image recognition has long been one of the research hotspots in computer vision tasks. The development of deep learning is rapid in recent years, and convolutional neural networks usually need to be designed with fixed resources. If sufficient resour...
A separable neural code in monkey IT enables perfect CAPTCHA decoding.
Journal of neurophysiology
Feb 23, 2022
Reading distorted letters is easy for us but so challenging for the machine vision that it is used on websites as CAPTCHA (Completely Automated Public Turing Test to tell Computers and Humans Apart). How does our brain solve this problem? One solutio...
Organization of areal connectivity in the monkey frontoparietal network.
NeuroImage
Jul 20, 2021
Activity observed in biological neural networks is determined by anatomical connectivity between cortical areas. The monkey frontoparietal network facilitates cognitive functions, but the organization of its connectivity is unknown. Here, a new conne...
Coordination of top-down influence on V1 responses by interneurons and brain rhythms.
Bio Systems
Jun 15, 2021
Top-down processing in neocortex underlies functions such as prediction, expectation, and attention. Visual systems have much feedback connection that carries information of behavioral context. Top-down signals along feedback pathways modulate the re...
Empirically constrained network models for contrast-dependent modulation of gamma rhythm in V1.
NeuroImage
Jan 15, 2021
Gamma oscillations are thought to play a key role in neuronal network function and neuronal communication, yet the underlying generating mechanisms have not been fully elucidated to date. At least partly, this may be due to the fact that even in simp...
4D deep image prior: dynamic PET image denoising using an unsupervised four-dimensional branch convolutional neural network.
Physics in medicine and biology
Jan 14, 2021
Although convolutional neural networks (CNNs) demonstrate the superior performance in denoising positron emission tomography (PET) images, a supervised training of the CNN requires a pair of large, high-quality PET image datasets. As an unsupervised ...
Reinforcement Learning Based Fast Self-Recalibrating Decoder for Intracortical Brain-Machine Interface.
Sensors (Basel, Switzerland)
Sep 27, 2020
BACKGROUND: For the nonstationarity of neural recordings in intracortical brain-machine interfaces, daily retraining in a supervised manner is always required to maintain the performance of the decoder. This problem can be improved by using a reinfor...
Learning to select actions shapes recurrent dynamics in the corticostriatal system.
Neural networks : the official journal of the International Neural Network Society
Sep 19, 2020
Learning to select appropriate actions based on their values is fundamental to adaptive behavior. This form of learning is supported by fronto-striatal systems. The dorsal-lateral prefrontal cortex (dlPFC) and the dorsal striatum (dSTR), which are st...
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