Task representations in neural networks trained to perform many cognitive tasks
The brain has the ability to flexibly perform many tasks, but the underlying mechanism cannot
be elucidated in traditional experimental and modeling studies designed for one task at a …
be elucidated in traditional experimental and modeling studies designed for one task at a …
[PDF][PDF] Artificial neural networks for neuroscientists: a primer
Artificial neural networks (ANNs) are essential tools in machine learning that have drawn
increasing attention in neuroscience. Besides offering powerful techniques for data analysis, …
increasing attention in neuroscience. Besides offering powerful techniques for data analysis, …
Association between subclinical hypothyroidism and proliferative diabetic retinopathy in type 2 diabetic patients: a case-control study
GR Yang, JK Yang, L Zhang, YH An… - The Tohoku journal of …, 2010 - jstage.jst.go.jp
Subclinical hypothyroidism (SCH) is defined as an asymptomatic state characterized by normal
serum levels of free thyroxine and elevated serum concentrations of thyrotropin (> 4.0 μU/…
serum levels of free thyroxine and elevated serum concentrations of thyrotropin (> 4.0 μU/…
Plasma glucose levels and diabetes are independent predictors for mortality and morbidity in patients with SARS
…, SY Yuan, HJ Fu, BY Wu, GZ Sun, GR Yang… - Diabetic …, 2006 - Wiley Online Library
Aims To investigate the relationships between a known history of diabetes and ambient fasting
plasma glucose (FPG) levels with death and morbidity rates in patients with severe acute …
plasma glucose (FPG) levels with death and morbidity rates in patients with severe acute …
[PDF][PDF] Brain-wide maps reveal stereotyped cell-type-based cortical architecture and subcortical sexual dimorphism
The stereotyped features of neuronal circuits are those most likely to explain the remarkable
capacity of the brain to process information and govern behaviors, yet it has not been …
capacity of the brain to process information and govern behaviors, yet it has not been …
[HTML][HTML] Training excitatory-inhibitory recurrent neural networks for cognitive tasks: a simple and flexible framework
The ability to simultaneously record from large numbers of neurons in behaving animals has
ushered in a new era for the study of the neural circuit mechanisms underlying cognitive …
ushered in a new era for the study of the neural circuit mechanisms underlying cognitive …
Small RNA combination therapy for lung cancer
…, A Dave, W Cai, LM Chirino, GR Yang… - Proceedings of the …, 2014 - National Acad Sciences
… Because low-grade KP tumors do not stain positively for pErk (31), we were not able to
measure the pErk levels in low-grade tumors by immunohistochemistry. To investigate …
measure the pErk levels in low-grade tumors by immunohistochemistry. To investigate …
Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective
The last decade witnessed tremendous developments in social media and e-democracy
technologies. A fundamental aspect in these paradigms is that the number of decision makers …
technologies. A fundamental aspect in these paradigms is that the number of decision makers …
Circuit mechanisms for the maintenance and manipulation of information in working memory
Recently it has been proposed that information in working memory (WM) may not always be
stored in persistent neuronal activity but can be maintained in ‘activity-silent’ hidden states, …
stored in persistent neuronal activity but can be maintained in ‘activity-silent’ hidden states, …
Reward-based training of recurrent neural networks for cognitive and value-based tasks
10.7554/eLife.21492.001 Trained neural network models, which exhibit features of neural
activity recorded from behaving animals, may provide insights into the circuit mechanisms of …
activity recorded from behaving animals, may provide insights into the circuit mechanisms of …