• Molecules and Cells
• /
• v.43 no.4
• /
• pp.360-372
• /
• 2020

The basal ganglia network has been implicated in the control of adaptive behavior, possibly by integrating motor learning and motivational processes. Both positive and negative reinforcement appear to shape our behavioral adaptation by modulating the function of the basal ganglia. Here, we examined a transgenic mouse line (G2CT) in which synaptic transmissions onto the medium spiny neurons (MSNs) of the basal ganglia are depressed. We found that the level of collaterals from direct pathway MSNs in the external segment of the globus pallidus (GPe) ('bridging collaterals') was decreased in these mice, and this was accompanied by behavioral inhibition under stress. Furthermore, additional manipulations that could further decrease or restore the level of the bridging collaterals resulted in an increase in behavioral inhibition or active behavior in the G2CT mice, respectively. Collectively, our data indicate that the striatum of the basal ganglia network integrates negative emotions and controls appropriate coping responses in which the bridging collateral connections in the GPe play a critical regulatory role.

• Journal of Sericultural and Entomological Science
• /
• v.42 no.2
• /
• pp.120-125
• /
• 2000

This study was designed to investigate the effects of silk fibroin (Mw 500) powder (SFP) on lipofuscin, acetylcholine (ACh) and its related enzyme activities in brain of rats. Sprague-Dawley (SD) male rats (160$\pm$10 g) were fed basic diet (control group), and experimental diets (SFP-2.5 and SFp-5.0 groups) added 2.5 and 5.0 g/kg BW/day for 6 weeks. In case of liver membranes, lipofuscin (LF) levels resulted in a considerable decreases (11.5% and 13.8%, respectively) in SFP-2.5 and SFP-5.0 groups compared with control group. But in case of brain as the most sensitive organ, LF levels were remarkably inhibited about 18.3% and 21.7% in SFP-2.5 and SFP-5.0 groups compared with control group. Acetylcholine (ACh) levels were considerable decrease (3.0% and 9.2%, respectively) in brain membranes of SFP-2.5 and SFP-5.0 groups compared with control group. choine acetyltranferase (ChAT) activities as a synthesis enzyme of ACh, and acetylcholinesterase (AChE) activities as a hydrolysis enzyme resulted in a slight increases (2.4% and 3.0%, 4.6% and 6.3%, respectively), but significance difference between ChAT and AChE activities by SFP administration could be not obtained. Monoamine oxidase-B (MAO-B) activities were significantly inhibited (9.5% and 12.6%, respectively) in brain of SEP-2.5 and SFP-5.0 groups compared with control group. These results suggest that inhibiting effects of LF accumulation and MAO-B activity of silk fibroin(SFP) may play a pivotal role in protecting learning memory impairments by attenuating a various age-related changes for improvement of brain function.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.18 no.2
• /
• pp.456-477
• /
• 2024

With information technology's rapid development, the Internet faces serious security problems. Studies have shown that malware has become a primary means of attacking the Internet. Therefore, adversarial samples have become a vital breakthrough point for studying malware. By studying adversarial samples, we can gain insights into the behavior and characteristics of malware, evaluate the performance of existing detectors in the face of deceptive samples, and help to discover vulnerabilities and improve detection methods for better performance. However, existing adversarial sample generation methods still need help regarding escape effectiveness and mobility. For instance, researchers have attempted to incorporate perturbation methods like Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and others into adversarial samples to obfuscate detectors. However, these methods are only effective in specific environments and yield limited evasion effectiveness. To solve the above problems, this paper proposes a malware adversarial sample generation method (PixGAN) based on the pixel attention mechanism, which aims to improve adversarial samples' escape effect and mobility. The method transforms malware into grey-scale images and introduces the pixel attention mechanism in the Deep Convolution Generative Adversarial Networks (DCGAN) model to weigh the critical pixels in the grey-scale map, which improves the modeling ability of the generator and discriminator, thus enhancing the escape effect and mobility of the adversarial samples. The escape rate (ASR) is used as an evaluation index of the quality of the adversarial samples. The experimental results show that the adversarial samples generated by PixGAN achieve escape rates of 97%, 94%, 35%, 39%, and 43% on the Random Forest (RF), Support Vector Machine (SVM), Convolutional Neural Network (CNN), Convolutional Neural Network and Recurrent Neural Network (CNN_RNN), and Convolutional Neural Network and Long Short Term Memory (CNN_LSTM) algorithmic detectors, respectively.

• The Korean Journal of Physiology and Pharmacology
• /
• v.71 no.4
• /
• pp.525-536
• /
• 2020

Transcellular calcium transport is an essential activity in mineralized tissue formation, including that in nervous systems. Dysregulation of Ca²⁺ homeostasis can induce excitotoxicity and neurodegeneration in the central nervous system. Nckx3, a potassium-dependent Na⁺/Ca²⁺ exchanger, is most abundant in the brain and has a critical role in the transport of intracellular calcium across the cell membrane. However, the roles of Nckx3 in neuron development and function remain unreported. Herein, we examined the behaviors of Nckx3-knock-out mice at the age of six weeks. Detailed behavioral analyses showed Nckx3^-/- mice exhibited an increase in moving distances in the open field test. Additionally, the rotarod test revealed motor learning defects in Nckx3^-/- mice. Both Nckx3^+/- and Nckx3^-/- mice also exhibited deficits in sociability and social novelty preference. Furthermore, Nckx3^-/- mice displayed increased depression-related behavior. However, there was no significant change in cognition function detected in Nckx3^-/- mice. This study demonstrates that NCKX3 is involved in behavior and neuronal function

• Proceedings of the Korea Crystallographic Association Conference
• /
• 2002.11a
• /
• pp.4-4
• /
• 2002

PDZ domains bind to short segments within target proteins in a sequence-specific fashion. GRIP/ABP family proteins contain six to seven PDZ domains and interact via its sixth PDZ domain (class Ⅱ) with the C-termini of various proteins, including liprin-α. In addition the PDZ456 domain mediates the formation of homo- and heteromultimers of GRIP proteins. To better understand the structural basis of peptide recognition by a class Ⅱ PDZ domain and DZ-mediated multimerization, we determined the crystal structures of the GRIPI PDZ6 domain, alone and in complex with a synthetic C-terminal octapeptide of human liprin-α, at resolutions of 1.5 Å and 1.8 Å, respectively. Remarkably, unlike other class Ⅱ PDZ domains, Ile736 at αB5 rather than conserved Leu732 at αB1 makes a direct hydrophobic contact with the side chain of the Tyr at the -2 position of the ligand. Moreover, the peptide-bound structure of PDZ6 shows a slight reorientation of helix αB, indicating that the second hydrophobic pocket undergoes a conformational adaptation to accommodate the bulkiness of the Tyr's side chain, and forms an antiparallel dimer through an interface located at a site distal to the peptide-binding groove. This configuration may enable formation of GRIP multimers and efficient clustering of GRIP-binding proteins.

• Journal of Neurogastroenterology and Motility
• /
• v.24 no.4
• /
• pp.512-527
• /
• 2018

This review provides a comprehensive overview of brain imaging studies of the brain-gut interaction in functional gastrointestinal disorders (FGIDs). Functional neuroimaging studies during gut stimulation have shown enhanced brain responses in regions related to sensory processing of the homeostatic condition of the gut (homeostatic afferent) and responses to salience stimuli (salience network), as well as increased and decreased brain activity in the emotional response areas and reduced activation in areas associated with the top-down modulation of visceral afferent signals. Altered central regulation of the endocrine and autonomic nervous responses, the key mediators of the brain-gut axis, has been demonstrated. Studies using resting-state functional magnetic resonance imaging reported abnormal local and global connectivity in the areas related to pain processing and the default mode network (a physiological baseline of brain activity at rest associated with self-awareness and memory) in FGIDs. Structural imaging with brain morphometry and diffusion imaging demonstrated altered gray- and white-matter structures in areas that also showed changes in functional imaging studies, although this requires replication. Molecular imaging by magnetic resonance spectroscopy and positron emission tomography in FGIDs remains relatively sparse. Progress using analytical methods such as machine learning algorithms may shift neuroimaging studies from brain mapping to predicting clinical outcomes. Because several factors contribute to the pathophysiology of FGIDs and because its population is quite heterogeneous, a new model is needed in future studies to assess the importance of the factors and brain functions that are responsible for an optimal homeostatic state.

• Journal of the Korea Society of Computer and Information
• /
• v.29 no.10
• /
• pp.1-9
• /
• 2024

In this paper, we propose a comparative analysis to evaluate the impact of activation functions and attention mechanisms on the performance of time-series models for Mars meteorological data. Mars meteorological data are nonlinear and irregular due to low atmospheric density, rapid temperature variations, and complex terrain. We use long short-term memory (LSTM), bidirectional LSTM (BiLSTM), gated recurrent unit (GRU), and bidirectional GRU (BiGRU) architectures to evaluate the effectiveness of different activation functions and attention mechanisms. The activation functions tested include rectified linear unit (ReLU), leaky ReLU, exponential linear unit (ELU), Gaussian error linear unit (GELU), Swish, and scaled ELU (SELU), and model performance was measured using mean absolute error (MAE) and root mean square error (RMSE) metrics. Our results show that the integration of attentional mechanisms improves both MAE and RMSE, with Swish and ReLU achieving the best performance for minimum temperature prediction. Conversely, GELU and ELU were less effective for pressure prediction. These results highlight the critical role of selecting appropriate activation functions and attention mechanisms in improving model accuracy for complex time-series forecasting.

• Journal of Broadcast Engineering
• /
• v.25 no.2
• /
• pp.200-207
• /
• 2020

Recently, deep neural networks such as CNN are showing excellent performance in various fields such as image classification, object recognition, visual quality enhancement, etc. However, as the model size and computational complexity of deep learning models for most applications increases, it is hard to apply neural networks to IoT and mobile environments. Therefore, neural network compression algorithms for reducing the model size while keeping the performance have been being studied. In this paper, we apply few compression methods to CNN models and evaluate their performances in the embedded environment. For evaluate the performance, the classification performance and inference time of the original CNN models and the compressed CNN models on the image inputted by the camera are evaluated in the embedded board equipped with QCS605, which is a customized AI chip. In this paper, a few CNN models of MobileNetV2, ResNet50, and VGG-16 are compressed by applying the methods of pruning and matrix decomposition. The experimental results show that the compressed models give not only the model size reduction of 1.3~11.2 times at a classification performance loss of less than 2% compared to the original model, but also the inference time reduction of 1.2~2.21 times, and the memory reduction of 1.2~3.8 times in the embedded board.

• Sleep Medicine and Psychophysiology
• /
• v.11 no.1
• /
• pp.44-49
• /
• 2004

Objectives: The purpose of this study was to investigate whether longitudinal changes in positive and negative symptoms affect cognitive functioning in chronic schizophrenia. Methods: Sixty-eight patients diagnosed with DSM-IV schizophrenia were examined on two occasions over 6 months for symptoms and cognitive changes. Symptoms were measured by PANSS. Cognitive functions were examined for sustained attention, executive function, concentration and attention, and verbal memory and learning using Degraded Stimulus Continuous Performance Test, Wisconsin Card Sorting Test, Digit Span, and Rey Auditory Verbal Learning Test, respectively. Twenty control subjects were assessed to compare the cognitive scores of remitted schizophrenic patients. Results: Patients showed significant improvement in symptoms and all cognitive tests after 6 months treatments. Significant improvements in positive and negative symptoms did not predict improvements in any aspect of cognitive functioning measured. Normal controls performed significantly better than remitted schizophrenic patients on all cognitive tests. The results show no relationship between change in symptoms and change in cognition in chronic schizophrenia. Conclusion: We suggest that symptomatic and cognitive impairment may be a distinct construct. These findings highlight the importance of treating cognitive impairment in addition to the clinical symptoms of schizophrenia.

• Korean Journal of Pharmacognosy
• /
• v.46 no.3
• /
• pp.173-188
• /
• 2015

We have conducted a comprehensive literature review regarding the chemical constituents and biological activities of Korean black ginseng(Panax ginseng C. A. Meyer), three to nine times-steamed and dried ginseng, which shows strong black color through Maillared browning reaction. It has been reported that some chemically deglycosylated and transformed saponins are obtained from black ginseng as artifacts produced during intensive steaming. They have been known to be ginsenosides Rg3, Rg4, Rg5, Rg6, Rh1, Rh2, Rh4, Rk1 and Rk3, quite different from those of red ginseng, among which ginsenosides Rg3, Rg5 and Rk1 are considered to be major components. And also, black ginseng has been recently found to demonstrate anticancer, recovery from learning and memory damages, hypontensive, antidiabetic, antiobesitic, tonic and antiatopic activities, together with antioxidative and exercise performance improving activities, exhibiting their effects to be a little bit stronger than those of red ginseng. These findings suggest that black ginsng might play an important role in the development of promising functional foods and drugs from the viewpoint of the chemical composition and biological activities of black ginseng with a distinction from those of white and red ginsengs. In this review, the authors will survey and evaluate further functions of black ginseng with a focus on its physicochemical properties and biological activities.