Article
Neurosciences
Yang Wang, Jingran Lin, Jiarui Li, Lu Yan, Wenwen Li, Xingzhi He, Huan Ma
Summary: Activity-dependent changes in protein expression are crucial for neuronal plasticity. Homeostatic synaptic up-scaling, induced primarily by neuronal inactivity, involves autophagy and the regulation of key synaptic proteins. The turnover mechanism of synaptic proteins in this process remains unclear.
JOURNAL OF NEUROSCIENCE
(2023)
Article
Mathematics, Interdisciplinary Applications
Gustavo Menesse, Boris Marin, Mauricio Girardi-Schappo, Osame Kinouchi
Summary: In self-organized criticality models, criticality is usually only observed for vanishing external fields h -> 0, which is not common in natural systems. In dissipative systems, a phenomenon called dirty criticality or self-organized quasi-criticality (SOqC) exists instead of true critical behavior characterized by clean power laws obeying finite-size scaling. This study proposes simple homeostatic mechanisms for neuronal networks to achieve near criticality even in the presence of significant external input.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Multidisciplinary Sciences
Susann Ludewig, Ulrike Herrmann, Kristin Michaelsen-Preusse, Kristin Metzdorf, Jennifer Just, Charlotte Bold, Ulrike C. Mueller, Martin Korte
Summary: The study reveals the essential role of the APP family, particularly the ectodomain APPs alpha, in neuronal Ca2+ handling. Additionally, the loss of APP and APLP2 is shown to impair Ca2+ handling, endoplasmic reticulum Ca2+ store refill, and synaptic plasticity.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Biochemistry & Molecular Biology
Pedro Valada, Sofia Alcada-Morais, Rodrigo A. Cunha, Joao Pedro Lopes
Summary: Theobromine, a metabolite of caffeine, affects synaptic transmission and plasticity by antagonizing adenosine receptors, resulting in improved cognitive function and neuroprotection against disease-related conditions.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Pharmacology & Pharmacy
Na Li, Qihang Pang, Yanhong Zhang, Jianan Lin, Hui Li, Zhen Li, Yaxin Liu, Xingyu Fang, Yu An, Haonan Bai, Dianyu Li, Zhanhong Cao, Jian Liu, Qing Yang, Shaodan Hu
Summary: The study found that Ginsenoside Compound K (CK) can bind to A beta, reduce its aggregation, and inhibit its accumulation in the extracellular space. CK also improves cognitive impairment and protects neurons by reducing oxidative damage and enhancing synaptic function through modulation of the Nrf2/Keap1 signaling pathway.
FRONTIERS IN PHARMACOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Martin Hofmann, Patrick Maeder
Summary: Nature has inspired scientists to develop new methods based on observations, with recent advances allowing insights into biological neural processes. Homeostatic plasticity, particularly synaptic scaling, has been identified as a mature and applicable theory to enhance learning capabilities of neural networks. Analyzing mutual information affected by synaptic scaling, the proposed approach outperforms previous regularization techniques in regression and classification tasks across various network topologies and data sets.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Food Science & Technology
Zhen Yang, Xinyuan Shi, Jiale Ren, Hongqing Yin, Dongna Li, Lili Song, Yanjun Zhang
Summary: ZSWF improves cognitive ability and reduces pathological damage and neuronal apoptosis in Alzheimer's disease by regulating neuronal mitochondrial homeostasis.
JOURNAL OF FUNCTIONAL FOODS
(2022)
Article
Chemistry, Multidisciplinary
Michael R. Harris, Thomas P. Wytock, Istvan A. Kovacs
Summary: The difficulty of mapping synaptic polarity is addressed through computational inference in this study. The researchers use different experimental scenarios, including the integration of gene expression data and a connectome model, to infer synaptic polarities. They introduce a high-performance method that successfully infers a large number of synaptic polarities, contributing to a more realistic understanding of brain models.
Article
Biology
Daniel Miner, Florentin Woergoetter, Christian Tetzlaff, Michael Fauth
Summary: Information processing in the brain occurs in a layered hierarchical network architecture with abundant connections within each layer and sparse long-range connections between layers. After self-organization, stimuli conveyed by sparse inputs can be rapidly read out with only a few long-range connections.
Article
Neurosciences
Theresa S. Rimmele, Shaomin Li, Jens Velde Andersen, Emil W. Westi, Alexander Rotenberg, Jianlin Wang, Blanca Irene Aldana, Dennis J. Selkoe, Chiye J. Aoki, Chris G. Dulla, Paul Allen Rosenberg
Summary: The major glutamate transporter GLT-1 is expressed in both presynaptic terminals and astrocytes in the mammalian central nervous system. While astrocytic GLT-1 is believed to primarily regulate glutamate homeostasis, the function of neuronal GLT-1 has remained relatively unexplored. Conditional knockout of GLT-1 in neurons resulted in impaired stimulus-evoked field extracellular postsynaptic potentials (fEPSPs), suggesting a crucial role for neuronal GLT-1 in excitatory synaptic transmission. Excitotoxicity may underlie the transmission failure observed in neuronal GLT-1 knockout mice, with potential metabolic perturbations contributing to vulnerability to NMDA receptor activation.
FRONTIERS IN CELLULAR NEUROSCIENCE
(2021)
Article
Neurosciences
Margrethe A. Olesen, Rodrigo A. Quintanilla
Summary: Tau protein is involved in various important functions in the central nervous system, such as maintaining cellular structure, facilitating axonal transport, and promoting synaptic communication. Studies have focused on understanding the role of tau modifications in Alzheimer's disease, particularly the cleavage of tau by caspases and its impact on neuronal function. Cleaved tau has been shown to contribute to oxidative damage, cognitive decline, and neurodegenerative manifestations in Alzheimer's disease. This review explores the significance of caspase-cleaved tau in the pathogenesis of Alzheimer's disease and its detrimental effects on neuronal function.
MOLECULAR NEUROBIOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Chandramouli Natarajan, Charles Cook, Karthik Ramaswamy, Balaji Krishnan
Summary: Attenuating PLD1 expression has neurotherapeutic implications in tauopathies, as it can alleviate synaptic dysfunction and memory deficits. In mouse models, the use of PLD1 inhibitors improved cognitive function and preserved synaptic morphology, suggesting potential clinical applications for Alzheimer's disease.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Neurosciences
Catherine R. Wasser, Gordon C. Werthmann, Eric M. Hall, Kristina Kuhbandner, Connie H. Wong, Murat S. Durakoglugil, Joachim Herz
Summary: This study demonstrates the role of alternative splicing and release of Apoer2-ICD in regulating translating transcripts in the mouse hippocampus. Dysregulated Apoer2 splicing may contribute to synaptic deficits and neurodegeneration in Alzheimer's disease. These findings suggest the Reelin/Apoer2 pathway as a potential target for AD therapeutics.
MOLECULAR NEURODEGENERATION
(2023)
Article
Physics, Fluids & Plasmas
Chong-Yang Wang, Ji-Qiang Zhang, Zhi-Xi Wu, Jian-Yue Guan
Summary: Synchronous population activities in a neuronal network with both excitatory and inhibitory neurons, and short-term synaptic plasticity can exhibit periodic-like characteristics and bursty phase with power-law distributed avalanches. Inhibitory neurons can promote cluster firing behavior and strong bursty collective firing activity by depressing the activities of postsynaptic neurons. The population activities show substantial trial-to-trial variability in local periodic-like and synchronous chaotic phases, which is unfavorable for neural code, unlike the stable periodic-like phases.
Article
Medicine, General & Internal
Maciej Dulewicz, Agnieszka Kulczynska-Przybik, Agnieszka Slowik, Renata Borawska, Barbara Mroczko
Summary: This study analyzed the CSF concentrations of two synaptic proteins, neurogranin and neuronal pentraxins receptor, in relation to neurochemical dementia biomarkers in Alzheimer's disease. The results showed a significant increase in Ng and decrease in NPTXR levels in AD patients, with the NPTXR/Ng ratio serving as an indicator of synaptic disturbance. These findings suggest that Ng and NPTXR concentrations in CSF are promising synaptic dysfunction biomarkers reflecting pathological changes in AD.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Computer Science, Interdisciplinary Applications
Zhongwei Lin, Carl Tropper, Robert A. McDougal, Mohammand Nazrul Ishlam Patoary, William W. Lytton, Yiping Yao, Michael L. Hines
ACM TRANSACTIONS ON MODELING AND COMPUTER SIMULATION
(2017)
Article
Engineering, Biomedical
Robert A. McDougal, Anna S. Bulanova, William W. Lytton
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2016)
Article
Computer Science, Artificial Intelligence
William W. Lytton, Alexandra H. Seidenstein, Salvador Dura-Bernal, Robert A. McDougal, Felix Schurmann, Michael L. Hines
NEURAL COMPUTATION
(2016)
Article
Computer Science, Hardware & Architecture
S. Dura-Bernal, S. A. Neymotin, C. C. Kerr, S. Sivagnanam, A. Majumdar, J. T. Francis, W. W. Lytton
IBM JOURNAL OF RESEARCH AND DEVELOPMENT
(2017)
Article
Neurosciences
Samuel A. Neymotin, Benjamin A. Suter, Salvador Dura-Bernal, Gordon M. G. Shepherd, Michele Migliore, William W. Lytton
JOURNAL OF NEUROPHYSIOLOGY
(2017)
Article
Biochemical Research Methods
Samuel A. Neymotin, Zoe N. Talbot, Jeeyune Q. Jung, Andre A. Fenton, William W. Lytton
JOURNAL OF NEUROSCIENCE METHODS
(2017)
Article
Critical Care Medicine
Kyle B. Womack, Christopher Paliotta, Jeremy F. Strain, Johnson S. Ho, Yosef Skolnick, William W. Lytton, L. Christine Turtzo, Roderick McColl, Ramon Diaz-Arrastia, Peter J. Bergold
JOURNAL OF NEUROTRAUMA
(2017)
Article
Computer Science, Interdisciplinary Applications
Zhongwei Lin, Carl Tropper, Yiping Yao, Robert A. Mcdougal, Mohammand Nazrul Ishlam Patoary, William W. Lytton, Michael L. Hines
JOURNAL OF SIMULATION
(2017)
Review
Engineering, Chemical
C. Anthony Hunt, Ahmet Erdemir, William W. Lytton, Feilim Mac Gabhann, Edward A. Sander, Mark K. Transtrum, Lealem Mulugeta
Article
Biology
Salvador Dura-Bernal, Benjamin A. Suter, Padraig Gleeson, Matteo Cantarelli, Adrian Quintana, Facundo Rodriguez, David J. Kedziora, George L. Chadderdon, Cliff C. Kerr, Samuel A. Neymotin, Robert A. McDougal, Michael Hines, Gordon M. G. Shepherd, William W. Lytton
Article
Neurosciences
Peter Lakatos, Monica N. O'Connell, Annamaria Barczak, Tammy McGinnis, Samuel Neymotin, Charles E. Schroeder, John F. Smiley, Daniel C. Javitt
BIOLOGICAL PSYCHIATRY
(2020)
Article
Biology
Samuel A. Neymotin, Dylan S. Daniels, Blake Caldwell, Robert A. McDougal, Nicholas T. Carnevale, Mainak Jas, Christopher Moore, Michael L. Hines, Matti Hamalainen, Stephanie R. Jones
Article
Neurosciences
Robert G. Law, Sarah Pugliese, Hyeyoung Shin, Danielle D. Sliva, Shane Lee, Samuel Neymotin, Christopher Moore, Stephanie R. Jones
Summary: Transient neocortical events in the 15-29 Hz beta band are reliable predictors of sensory perception, with prestimulus beta event rates correlating with sensory suppression. Cellular and circuit mechanisms underlying these correlations were investigated, showing that bursts from higher-order thalamus and slow supragranular inhibition play a key role in sensory information suppression. The study also suggests that beta events occurring simultaneously with tactile stimulation may lead to facilitated perception before inhibition is recruited.
Article
Mathematical & Computational Biology
Daniel Hasegan, Matt Deible, Christopher Earl, David D'Onofrio, Hananel Hazan, Haroon Anwar, Samuel A. Neymotin
Summary: This study explores different learning mechanisms to improve the performance of spiking neuronal network (SNN) models. By training SNNs using spike-timing-dependent reinforcement learning (STDP-RL) and evolutionary strategy (EVOL), it is found that EVOL is a powerful method for training SNNs to perform sensory-motor behaviors. The modeling in this study opens up new possibilities for SNNs in reinforcement learning and provides a testbed for neurobiologists to investigate multi-timescale learning mechanisms and dynamics in neuronal circuits.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
(2022)