Article
Engineering, Mechanical
Kesheng Xu, Jean Paul Maidana, Patricio Orio
Summary: The coexistence of electrical and chemical synaptic communication among excitatory cells has been confirmed, but the theoretical understanding of hybrid synaptic connections in various dynamical states of neural networks is not fully studied. A neural network model including electrical and chemical synaptic connections was used to investigate synchronization and firing patterns among excitatory cells, revealing tendencies towards synchronization and the ability to cause various firing patterns by slightly changing the synaptic weights. This study lays a foundation for understanding the computational significance of mixed synapse in neural functions.
NONLINEAR DYNAMICS
(2021)
Article
Multidisciplinary Sciences
Melody Li, Mohamed Eltabbal, Hoang- Dai Tran, Bernd Kuhn
Summary: In this study, researchers generated a mouse model of Scn2a insufficiency and found that spontaneous Ca2+ transients in somatosensory cortical neurons, as well as their pairwise co-activities, were decreased in Scn2a ASO mice during spontaneous awake state and induced seizure state. This reduction may be a mechanism driving SCN2A PTV pathology.
Article
Neurosciences
Savanna-Rae H. Fahoum, Dawn M. Blitz
Summary: This study demonstrates that modulation of intrinsic properties can lead to switching a neuron into dual-frequency oscillations, rather than relying solely on synaptic modulation. This switching process enables a neuron to become an active contributor to rhythm generation in the second network.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Mathematics, Interdisciplinary Applications
Zhicheng Ouyang, Yangyang Yu, Zhilong Liu, PeiHua Feng
Summary: Recent experiment showed that astrocytes play an important role in regulating neuronal networks and influencing neuronal firing behavior. A 2-D neuron-astrocyte network model was developed to explore the role of astrocytes in pattern transition of neural network. The study found that astrocytic feedback current caused a left-shift in the spiking interval of neurons and the introduction of astrocyte network enriched the diversity of spatiotemporal patterns. The strengthening of astrocyte feedback intensity increased firing frequency of neurons and caused changes in spatial pattern and delayed pattern transition concerning synaptic conductance.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Engineering, Electrical & Electronic
Jie Huo, Luhan Wang, Xiangming Wen, Luning Liu, Guanyu Yao, Roger Lloret-Batlle, Zhaoming Lu
Summary: This article proposes a safety-aware vehicle trajectory prediction method using a spatiotemporal attentional generative adversarial network (GAN) in a hybrid transportation system. Accurately predicting the trajectories of human-driven vehicles (HDVs) is crucial for improving safety. The method incorporates a driving pattern clustering mechanism and a spatiotemporal attention mechanism to enhance prediction accuracy. Experimental evaluation shows that the proposed method outperforms existing methods, achieving higher accuracy in trajectory prediction.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Behavioral Sciences
Tong Zhang, Naoya Nishitani, Kazuhei Niitani, Ryoma Nishida, Yusaku Futami, Satoshi Deyama, Katsuyuki Kaneda
Summary: This study investigated changes in neuronal activity in brain regions associated with motivation in mice during different intensities of rotation on running wheels. The results suggest that subareas of the medial prefrontal cortex (mPFC) and nucleus accumbens (NAc) may play a critical role in the motivational effects of running wheel rotations.
BEHAVIOURAL BRAIN RESEARCH
(2022)
Article
Ergonomics
M. Al Hamami, T. C. Matisziw
Summary: Vehicular accidents can happen anywhere and at any time, but research suggests that spatial and temporal dependencies among accidents likely exist. Analyzing the morphological characteristics of accident hot spots and tracking their dynamics is crucial for mitigation and prevention efforts. A GIS-based framework can be utilized to facilitate the analysis of hot spot morphology over time and detect informative spatial and temporal patterns.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Neurosciences
James A. Jones, Matthew H. Higgs, Erick Olivares, Jacob Pella, Charles J. Wilson
Summary: Autonomously firing GABAergic neurons in the external globus pallidus (GPe) form a local synaptic network. Silencing the firing of PV+ GPe neurons increases the firing rate and regularity of PV- neurons, while silencing Npas1+ GPe neurons has no significant effect on Npas1- neuron firing. Spontaneous GABAergic synaptic input blockade reproduces the effects of silencing PV+ neuron firing. Furthermore, as few as 5 unitary inputs can cause large increases in firing irregularity in GPe neurons.
JOURNAL OF NEUROSCIENCE
(2023)
Review
Multidisciplinary Sciences
Liqun Luo
Summary: While individual neurons are the building blocks of the nervous system, they function by collaborating in neuronal circuits with specific patterns of synaptic connectivity. Understanding how these circuits assemble and evolve can help bridge the gap between individual neuron biology and brain function, leading to insights into neural computations and behavior.
Article
Biochemical Research Methods
Ines C. Bras, Mohammad H. Khani, Dietmar Riedel, Iwan Parfentev, Ellen Gerhardt, Christoph van Riesen, Henning Urlaub, Tim Gollisch, Tiago F. Outeiro
Summary: EVs are important mediators in intercellular communication. This study characterizes the proteomes of ectosomes and exosomes, establishes specific protein markers for their distinction, and demonstrates their effects on neuronal activity.
JOURNAL OF PROTEOMICS
(2022)
Article
Cell Biology
Alexandra H. Leighton, Juliette E. Cheyne, Gerrit J. Houwen, Paloma P. Maldonado, Fred De Winter, Christiaan N. Levelt, Christian Lohmann
Summary: During early development in the mouse visual system, somatostatin (SST)-expressing interneurons play a crucial role in controlling cell recruitment to retinally driven spontaneous activity. Inhibiting SST interneurons increases cell participation and allows events to spread farther along the cortex. Additionally, high-participation, retina-independent events occur during the same developmental period, overwhelming inhibition and causing large parts of the cortex to participate in each burst.
Article
Computer Science, Artificial Intelligence
Shuai Zhang, Yong Chen, Wenyu Zhang
Summary: Accurate traffic forecasting is challenging due to the complex spatial and dynamic time dependence of traffic networks. A novel spatiotemporal fuzzy-graph convolutional network model with dynamic feature encoding is proposed in this study to achieve accurate traffic forecasting. The model combines graph convolutional network and long short-term memory network to extract complicated spatiotemporal dependence features of traffic data.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Engineering, Aerospace
Qiaowen Jiang, Yu Liu, Ziran Ding, Shun Sun
Summary: In this paper, a behavior pattern mining algorithm based on spatiotemporal trajectory multidimensional information fusion is proposed to mine frequent behaviors of targets from complex historical trajectory data. The algorithm uses the spatial-temporal Hausdorff distance to measure the multidimensional information differences of spatiotemporal trajectories and combines the ideas of k-nearest neighbor and density peak clustering to mine behavior patterns from trajectory data with uneven density distribution.
CHINESE JOURNAL OF AERONAUTICS
(2023)
Article
Virology
Ilaria Spassiani, Giovanni Sebastiani, Giorgio Palu
Summary: The study proposes a novel methodology to extract useful spatiotemporal information from COVID-19 pandemic data, using mathematical and statistical tools for in-depth analysis. Applying this methodology to a dataset of around 19,000 COVID-19 patients in the Veneto region, it identifies interesting patterns and clusters based on the temporal evolution of incidence, which could contribute to informing strategic decisions for epidemic control.
Article
Computer Science, Artificial Intelligence
Lihong Pei, Yang Cao, Yu Kang, Zhenyi Xu, Zhenyi Zhao
Summary: This article proposes a two-way self-supervised spatiotemporal representation learning scheme to reveal the evolution pattern of air pollution from road traffic. Experimental results demonstrate its superiority in describing and detecting the evolution pattern of pollution.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Neurosciences
Antje Kilias, Ute Haeussler, Katharina Heining, Ulrich P. Froriep, Carola A. Haas, Ulrich Egert
Article
Engineering, Biomedical
Stefanie Heizmann, Antje Kilias, Patrick Ruther, Ulrich Egert, Maria Asplund
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2018)
Article
Engineering, Biomedical
Antje Kilias, Andres Canales, Ulrich P. Froriep, Seongjun Park, Ulrich Egert, Polina Anikeeva
JOURNAL OF NEURAL ENGINEERING
(2018)
Article
Computer Science, Artificial Intelligence
Jan M. Wuelfing, Sreedhar S. Kumar, Joschka Boedecker, Martin Riedmiller, Ulrich Egert
Article
Biology
Samora Okujeni, Ulrich Egert
Article
Nanoscience & Nanotechnology
Christian Boehler, Diego M. Vieira, Ulrich Egert, Maria Asplund
ACS APPLIED MATERIALS & INTERFACES
(2020)
Article
Biology
Enya Paschen, Claudio Elgueta, Katharina Heining, Diego M. Vieira, Piret Kleis, Catarina Orcinha, Ute Haeussler, Marlene Bartos, Ulrich Egert, Philipp Janz, Carola A. Haas
Article
Engineering, Biomedical
Antje Kilias, Yu-Tao Lee, Ulrich P. Froriep, Charlotte Sielaff, Dominik Moser, Tobias Holzhammer, Ulrich Egert, Weileun Fang, Oliver Paul, Patrick Ruther
Summary: The development of a new multi-electrode array combining soft and stiff materials resulted in precise probe insertion into brain tissue and long-term stable recordings of unit activity. The innovative fabrication process allowed the realization of Michigan-style probe arrays, demonstrating improved performance in chronic electrophysiological in vivo recordings.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Neurosciences
Samora Okujeni, Ulrich Egert
Summary: Multiple studies suggest that biological neuronal networks tend to self-organize into a critical state with stable recruitment dynamics. This is observed through the statistical activation of exactly one further neuron during activity cascades called neuronal avalanches. However, the explosive recruitment dynamics within neocortical mini-columns in vivo and neuronal clusters in vitro indicate the formation of supercritical local circuits, which poses a contradiction. Theoretical studies propose that a mix of regionally subcritical and supercritical dynamics in modular networks can create apparently critical dynamics, resolving this inconsistency. Experimental support is provided by manipulating the self-organization process of cultured rat cortical neuronal networks, showing that increasing clustering strongly correlates with a transition from supercritical to subcritical activity dynamics in avalanche size distributions.
JOURNAL OF NEUROSCIENCE
(2023)
Proceedings Paper
Computer Science, Theory & Methods
Diego M. Vieira, Antje Kilias, Moritz Diehl, Carola A. Haas, Ulrich Egert
Summary: Hippocampal theta oscillations are associated with cognitive functions and have therapeutic potential for neurological disorders. An adaptive control strategy to regulate the amplitude of theta-band oscillations induced by optogenetic stimulation was developed and shown to maintain stable oscillatory amplitude in response to changes in brain state. This method may help explore the role and therapeutic benefits of theta oscillations in cognition and neurological disorders.
2021 10TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER)
(2021)
Article
Neurosciences
Katharina Heining, Antje Kilias, Philipp Janz, Ute Haeussler, Arvind Kumar, Carola A. Haas, Ulrich Egert
Article
Neurosciences
Samora Okujeni, Ulrich Egert
FRONTIERS IN NEUROSCIENCE
(2019)
Article
Physics, Fluids & Plasmas
Christopher M. Kim, Ulrich Egert, Arvind Kumar