Article
Engineering, Mechanical
Hui Shen, Fei Yu, Chunhua Wang, Jingru Sun, Shuo Cai
Summary: This paper proposes a novel memristor that is applied to construct neurons and neural networks. By conducting a series of analysis and experiments, the paper verifies its performance in terms of firing dynamics and compares different firing patterns and coupled neural networks. The research results are of great significance for revealing the mystery of the brain and potential applications in practical projects.
NONLINEAR DYNAMICS
(2022)
Article
Biology
Ruud van Zessen, Yue Li, Lucile Marion-Poll, Nicolas Hulo, Jerome Flakowski, Christian Luscher
Summary: LS is an early behavioral adaptation to addictive drugs, driven by increased dopamine in the NAc. During cocaine LS, D1R SPN activity increases while D2R SPN activity decreases, with a higher number of neurons responding in opposite directions. Inhibition of the ERK signaling pathway reduces the number of cocaine responsive D1R SPNs, indicating a dynamic dichotomy in accumbal population activity.
Article
Engineering, Electrical & Electronic
Haowei Wang, Yichun Xu, Rui Yang, Xiangshui Miao
Summary: A compact leaky integrate-and-fire (LIF) neuron with a frequency-adaptive function was demonstrated in a simple circuit using the dynamic turn-on delay process of the Ag/Ti/GaSe/Pt/Ti threshold switching memristor. This frequency-adaptive neuron achieved high learning rate and low power consumption in a spiking neural network (SNN) for digital recognition.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2023)
Article
Mathematical & Computational Biology
Rimjhim Tomar, Lubomir Kostal
Summary: The article focuses on the concept and probability distribution of instantaneous firing rate in neuronal activity. Different statistical models and dispersion indices are used to analyze the variability and randomness of firing rate. The relationship between interspike interval variability and instantaneous firing rate is found not to be straightforward.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
(2021)
Article
Mathematics, Applied
Dong Yu, Guowei Wang, Tianyu Li, Qianming Ding, Ya Jia
Summary: This paper investigates the frequency selection and filtering properties of neurons in response to band-pass filtered signals. It is found that the filtering property of neurons depends on the locking relationship between the signal frequency and the neuronal natural frequency. Neurons respond better to low-frequency signals due to the reduction in the amplitude of harmonic components. Additionally, the filtering ability of neurons can be modulated by the excitation level.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2023)
Article
Chemistry, Analytical
Taegoon Lee, Seung-Bae Jeon, Daewon Kim
Summary: A novel vertical nanowire single transistor neuron device with inhibitory function and tunable firing threshold voltage was realized by TCAD simulation. The device has a core-shell dual-gate structure, with independently accessed shell gate and core gate for excitatory-inhibitory transition and threshold voltage adjustment. It has great practical value and potential applications.
Article
Physics, Multidisciplinary
Shaohui Yan, Yuyan Zhang, Yu Ren, Xi Sun, Ertong Wang, Zhenlong Song
Summary: This paper proposes a novel neuron model based on memristors and demonstrates its complex dynamics. The system's behavior is analyzed through phase portraits, time sequences, bifurcation diagrams, and Lyapunov exponents spectra, showing the existence of multiple hidden firing patterns and rich nonlinear dynamics.
Article
Neurosciences
Edward M. Merricks, Elliot H. Smith, Ronald G. Emerson, Lisa M. Bateman, Guy M. McKhann, Robert R. Goodman, Sameer A. Sheth, Bradley Greger, Paul A. House, Andrew J. Trevelyan, Catherine A. Schevon
Summary: By developing a novel template-matching-based spike sorting method, researchers successfully identified 1239 single neurons in patients with epilepsy, observing waveform alterations in tissue invaded by seizures and stable waveforms in penumbral regions. All neurons returned to preictal waveforms after seizure termination.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Neurosciences
Xiaoyan Fang, Yao Tan, Fengqing Zhang, Shukai Duan, Lidan Wang
Summary: The Resistors-Capacitor (RC) circuit and the Memristor-Capacitor (MC) circuit serve as circuit models of neuron cell membranes. The MC neuron circuit shows faster charging and discharging speed. Both circuits can generate action potentials and reproduce the nonlinear dynamic behavior of biological neurons.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Elena Spoleti, Paraskevi Krashia, Livia La Barbera, Annalisa Nobili, Carmen Alina Lupascu, Elisabetta Giacalone, Flavio Keller, Michele Migliore, Massimiliano Renzi, Marcello D'Amelio
Summary: This study reveals that impaired cell excitability and firing in ventral CA1 pyramidal neurons is an early feature in Tg2576 AD mice.
EXPERIMENTAL NEUROLOGY
(2022)
Article
Engineering, Mechanical
Zhao Yao, Kehui Sun, Shaobo He
Summary: This paper investigates a fractional-order FithzHugh-Nagumo neuron circuit constructed by fractional-order capacitor and inductor based on Adomain decomposition method. The impacts on firing patterns and Hamilton energy are also discussed with the variation of fractional orders. The simulation results suggest that the fractional-order FHN neural model is more suitable for modeling neural behaviors and has promising applications in constructing artificial neural networks.
NONLINEAR DYNAMICS
(2022)
Article
Mathematical & Computational Biology
Taehoon Kim, Dexiong Chen, Philipp Hornauer, Vishalini Emmenegger, Julian Bartram, Silvia Ronchi, Andreas Hierlemann, Manuel Schroter, Damian Roqueiro
Summary: In this study, modern Graph Neural Networks (GNNs) were applied to analyze a large-scale electrophysiological dataset of rodent neuronal networks. The results demonstrate that the joint representation of node features and functional connectivity, extracted from baseline recordings, is informative for predicting changes in firing rate of individual neurons after a pharmacological perturbation.
FRONTIERS IN NEUROINFORMATICS
(2023)
Article
Chemistry, Physical
Zehui Sun, Shiming Zhao, Zhihao Gu, Wei Ma
Summary: The intrinsic activities of single MoS2 flakes toward the hydrogen evolution reaction (HER) were investigated by single nanoparticle collision electrochemical measurements. It was found that bilayer MoS2 flakes show the highest HER performance and the greatest magnetic enhancement among the different layers of MoS2 flakes. This is due to the abundance of exposed edge sites and sulfur vacancies in bilayer MoS2 flakes, which accelerate the reaction kinetics of HER and increase the ferromagnetism properties.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2023)
Article
Neurosciences
Greg S. Newkirk, Dongxu Guan, Nikolai Dembrow, William E. Armstrong, Robert C. Foehring, William J. Spain
Summary: The burst firing of neurons in the neocortex, influenced by inward currents and regulated by outward currents such as Kv2 channels, plays a critical role in coincidence detection and cortical rhythmicity. In Thy1-h mice, Kv2 channels were found to be expressed perisomatically in layer 5 pyramidal neurons, with their blockage leading to enhanced burst firing. Additionally, reducing Kv2-like conductance resulted in repetitive bursting and seizure-like rhythmic activity in a subset of neurons.
Article
Mathematics, Interdisciplinary Applications
Dawei Ding, Xiaoyu Chen, Zongli Yang, Yongbing Hu, Mouyuan Wang, Hongwei Zhang, Xu Zhang
Summary: In this study, the dynamics of fractional-order memristor-coupled Hindmarsh-Rose neuron model considering synaptic crosstalk were investigated. The qualitative analysis revealed the equilibrium points and stability, showing that the number and stability of equilibrium points varied with different crosstalk strength parameters. The phase diagrams, Lyapunov exponent spectrums, and bifurcation diagrams demonstrated the global coexistence of multiple firing patterns and the local attraction basins. The two-parameter bifurcation diagram described the parameter-related firing behaviors. Spectral entropy and C0 complexity chaos diagram were used to observe the change of system complexity when two parameters changed simultaneously. The digital implementations based on ARM were conducted to verify the consistency with the numerical simulation results.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Neurosciences
Yunliang Zang, Erik De Schutter
Summary: This study explored the coding strategy used by individual neurons in the cerebellar Purkinje cells, finding that increasing input intensity shifts cells from linear rate-coders to burst-pause timing-coders through triggering dendritic spikes. Both linear and burst-pause computations use individual branches as computational units, challenging the traditional view of these cells as linear point neurons. Dendritic spike thresholds can be regulated by various factors to expand the dynamic range of information processing.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Multidisciplinary Sciences
Sander Lindeman, Sungho Hong, Lieke Kros, Jorge F. Mejias, Vincenzo Romano, Robert Oostenveld, Mario Negrello, Laurens W. J. Bosman, Chris De Zeeuw
Summary: The study investigated the activity and coherence between S1 and M1 cortices during whisker stimulation in awake mice, finding that optogenetic Purkinje cell stimulation can dynamically and functionally modulate sensorimotor cortex activity. Specifically, simultaneous activation of Purkinje cells and whiskers affected sensory responses and coherence in theta and gamma bands, highlighting the cerebellum's role in coordinating sensorimotor behavior.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Editorial Material
Biology
Erik De Schutter
PHYSICS OF LIFE REVIEWS
(2021)
Article
Neurosciences
Laura Medlock, Kazutaka Sekiguchi, Sungho Hong, Salvador Dura-Bernal, William W. Lytton, Steven A. Prescott
Summary: Pain-related sensory input is processed in the spinal dorsal horn (SDH) before being relayed to the brain, influencing how stimuli are perceived as painful. Researchers developed a computational model constrained by experimental data to explore SDH function, which reproduced characteristic firing patterns of spinal neurons and responded consistently to inhibition reduction and specific neuron type ablation.
JOURNAL OF NEUROSCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Sergio Verduzco-Flores, William Dorrell, Erik De Schutter
Summary: This paper explores a neural control architecture that is both biologically plausible and capable of autonomous learning. It uses feedback controllers that learn to achieve a desired state by selecting the errors that drive them, employing a family of differential Hebbian learning rules. The architecture can control systems with monotonically or non-monotonically changing error responses through reinforcement learning. The use of feedback control simplifies the learning problem and allows for learning of more complex actions.
Article
Neurosciences
Audrey Denizot, Misa Arizono, U. Valentin Nagerl, Hugues Berry, Erik De Schutter
Summary: This study investigates the relationship between astrocytic nanoscale morphology and Ca2+ activity using computational tools and idealized 3D geometries. The results demonstrate that astrocytic morphology significantly influences Ca2+ signals, with swelling hindering signal propagation. This highlights the importance of astrocyte morphology in neuron-astrocyte communication, particularly in pathological conditions.
Article
Mathematical & Computational Biology
Weiliang Chen, Tristan Carel, Omar Awile, Nicola Cantarutti, Giacomo Castiglioni, Alessandro Cattabiani, Baudouin Del Marmol, Iain Hepburn, James G. King, Christos Kotsalos, Pramod Kumbhar, Jules Lallouette, Samuel Melchior, Felix Schuermann, Erik De Schutter
Summary: STEPS 4.0 is a computational neuroscience simulation project designed to improve performance and memory efficiency for novel scientific studies of whole cells.
By introducing a new parallel stochastic reaction-diffusion solver and a deterministic membrane potential solver, STEPS 4.0 significantly reduces memory consumption and enables massively parallel simulations on modern HPC clusters.
FRONTIERS IN NEUROINFORMATICS
(2022)
Article
Biology
Sergio Oscar Verduzco-Flores, Erik De Schutter
Summary: In this paper, the importance of feedback control in understanding neural dynamics of sensorimotor control is demonstrated using a minimal model. The model shows the ability to learn and perform reaching movements, and exhibits emergent properties such as directional tuning and oscillatory dynamics.
Article
Multidisciplinary Sciences
Akshay Markanday, Sungho Hong, Junya Inoue, Erik De Schutter, Peter Thier
Summary: The study shows that the cerebellum's ability for multidimensional computations allows it to flexibly control multiple movement parameters to ensure movement precision.
NATURE COMMUNICATIONS
(2023)
Article
Biochemical Research Methods
Mizuki Kato, Erik De Schutter
Summary: The primary dendrite selection of Purkinje cells is related to the migration of their presynaptic partner granule cells. A computational model was constructed to explore the role of physical and synaptic interactions in dendritic selection. The model suggests that interaction with parallel fibers is crucial for establishing the distinct planar morphology of Purkinje cell dendrites.
PLOS COMPUTATIONAL BIOLOGY
(2023)
Article
Mathematical & Computational Biology
Erik De Schutter
Summary: The Neural Development Simulator, NeuroDevSim, is a Python module that simulates the key processes of brain development. It adopts an agent-based modeling approach inherited from the NeuroMaC software and uses code executed by specific agents called fronts. The program achieves parallel processing without messaging and demonstrates strong parallel scaling up to 96 cores, mainly achieved through shared memory without memory locking.
FRONTIERS IN NEUROINFORMATICS
(2023)
Article
Neurosciences
Jihwan Myung, Sungho Hong, Christoph Schmal, Helene Vitet, Mei-Yi Wu
Summary: The synchronization of multiple oscillators is crucial for maintaining stable circadian rhythms, but aging and disease can disrupt this synchronization and lead to changes in circadian activities. We discovered a simple mathematical relationship between period and frequency, which explains atypical circadian period outputs in networks without synchronization.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Biochemistry & Molecular Biology
Mi-Yeon Kim, Mi Jeong Kim, Changyeob Lee, Juwon Lee, Sang Seong Kim, Sungho Hong, Hyoung Tae Kim, Jinsoo Seo, Ki-Jun Yoon, Sungho Han
Summary: Trametinib as a MEK1/2 inhibitor promotes adult neurogenesis in an Alzheimer's disease mouse model and human iPSC-derived neural stem cells, suggesting its potential as a therapeutic approach for AD and other neurodegenerative diseases.
EXPERIMENTAL AND MOLECULAR MEDICINE
(2023)
Proceedings Paper
Computer Science, Theory & Methods
Audrey Denizot, Corrado Cali, Hugues Berry, Erik De Schutter
Summary: The study investigates the impact of distance between astrocytic endoplasmic reticulum (ER) and synapse on neuronal activity-induced Ca2+ signals using stochastic reaction-diffusion simulations, finding that as the distance increases, Ca2+ peak amplitude, duration and frequency decrease rapidly. This suggests that the increased cytosolic volume of branchlets with larger ER-synapse distances is the main cause of this effect, with no effect on local Ca2+ activity when varying ER-synapse distance with constant cytosolic volume.
PROCEEDINGS OF THE 8TH ACM INTERNATIONAL CONFERENCE ON NANOSCALE COMPUTING AND COMMUNICATION (ACM NANOCOM 2021)
(2021)