NEST Simulator

539 found.

Wang Z, Yu N and Essaf F (2023) A soma-synapses neuron model and FPGA implementation. Wiley Concurrency and Computation: Practice and Experience doi
Zeng Y, Zhao D, Zhao F, Shen G, Dong Y, Lu E, Zhang Q, Sun Y, Liang Q, Zhao Y, Zhao Z, Fang H, Wang Y, Li Y, Liu X, Du C, Kong Q, Ruan Z and Bi W (2023) BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulation. Elsevier BV Patterns:100789 doi
Date P, Kulkarni S, Young A, Schuman C, Potok T and Vetter J (2023) Encoding integers and rationals on neuromorphic computers using virtual neuron. Springer Science and Business Media LLC Scientific Reports. 13 doi
Arthur BJ., Kim CM., Chen S, Preibisch S and Darshan R (2023) A scalable implementation of the recursive least-squares algorithm for training spiking neural networks. Frontiers Media SA Frontiers in Neuroinformatics. 17 doi
Rosa-Gallardo DJ., Torre JCde la, Quintana FM., Dominguez-Morales JP. and Perez-Peña F (2023) NESIM-RT: A real-time distributed spiking neural network simulator. Elsevier BV SoftwareX. 22:101349 doi
Giacopelli G, Migliore M and Tegolo D (2023) NeuronAlg: An Innovative Neuronal Computational Model for Immunofluorescence Image Segmentation. MDPI AG Sensors. 23:4598 doi
Birgiolas J, Haynes V, Gleeson P, Gerkin RC., Dietrich SW. and Crook S (2023) NeuroML-DB: Sharing and characterizing data-driven neuroscience models described in NeuroML. Public Library of Science (PLoS) PLOS Computational Biology. 19:e1010941 doi
Schmitt FJ, Rostami V and Nawrot MP (2023) Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST. Frontiers Media SA Frontiers in Neuroinformatics. 17:941696 doi
Nilsson M, Schelén O, Lindgren A, Bodin U, Paniagua C, Delsing J and Sandin F (2023) Integration of neuromorphic AI in event-driven distributed digitized systems: Concepts and research directions. Frontiers Media SA Frontiers in Neuroscience. 17:1074439 doi
Zajzon B, Dahmen D, Morrison A and Duarte R (2023) Signal denoising through topographic modularity of neural circuits. eLife Sciences Publications, Ltd eLife. 12:e77009 doi
Haufler D, Ito S, Koch C and Arkhipov A (2023) Simulations of cortical networks using spatially extended conductance-based neuronal models. Wiley The Journal of Physiology doi
Sten S, Podéus H, Sundqvist N, Elinder F, Engström M and Cedersund G (2023) A quantitative model for human neurovascular coupling with translated mechanisms from animals. Public Library of Science PLOS Computational Biology. 19:1-42 doi
Cobb EA. W., Petroccione MA. and Scimemi A (2023) NRN-EZ: an application to streamline biophysical modeling of synaptic integration using NEURON. Scientific Reports. 13:464 doi
Wei W and Wang X (2022) Ion-specific effects in confined nanochannels and neural network. Wiley Aggregate. 4:e302 doi
Lehmann HM., Hille J, Grassmann C, Knoll A and Issakov V (2022) Analog Spiking Neural Network Based Phase Detector. Institute of Electrical and Electronics Engineers (IEEE) IEEE Transactions on Circuits and Systems I: Regular Papers. 69:4837–4846 doi
Nieus T, Borgonovo D, Diwakar S, Aletti G and Naldi G (2022) A multi-class logistic regression algorithm to reliably infer network connectivity from cell membrane potentials. Frontiers Media SA Frontiers in Applied Mathematics and Statistics. 8:1023310 doi
Si H and Sun X (2022) Inter-areal transmission of multiple neural signals through frequency-division-multiplexing communication. Springer Science and Business Media LLC Cognitive Neurodynamics doi
Griffiths JD., Shen K and Gleeson P (2022) Editorial: Neuroinformatics of large-scale brain modelling. Frontiers Media SA Frontiers in Neuroinformatics. 16:1043732 doi
Oberländer J, Bouhadjar Y and Morrison A (2022) Learning and replaying spatiotemporal sequences: A replication study. Frontiers Media SA Frontiers in Integrative Neuroscience. 16:974177 doi
D'Angelo E and Jirsa V (2022) The quest for multiscale brain modeling. Elsevier BV Trends in Neurosciences. 45:777–790 doi
Senk J, Kriener B, Djurfeldt M, Voges N, Jiang HJ, Schüttler L, Gramelsberger G, Diesmann M, Plesser HE. and Albada SJ. van (2022) Connectivity concepts in neuronal network modeling. Public Library of Science (PLoS) PLOS Computational Biology. 18:e1010086 doi
Bologna LL, Smiriglia R, Lupascu CA, Appukuttan S, Davison AP., Ivaska G, Courcol JD and Migliore M (2022) The EBRAINS Hodgkin-Huxley Neuron Builder: An online resource for building data-driven neuron models. Frontiers Media SA Frontiers in Neuroinformatics. 16:991609 doi
Gutierrez CE, Skibbe H, Musset H and Doya K (2022) A Spiking Neural Network Builder for Systematic Data-to-Model Workflow. Frontiers Media SA Frontiers in Neuroinformatics. 16:855765 doi
Yu Q, Li S, Tang H, Wang L, Dang J and Tan KC (2022) Toward Efficient Processing and Learning With Spikes: New Approaches for Multispike Learning. IEEE Transactions on Cybernetics. 52:1364-1376 doi
Yegenoglu A, Subramoney A, Hater T, Jimenez-Romero C, Klijn W, Martín AP, van der Vlag M, Herty M, Morrison A and Diaz-Pier S (2022) Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn. Frontiers in Computational Neuroscience. 16:885207 doi
Yang X, Lei Y, Wang M, Cai J, Wang M, Huan Z and Lin X (2022) Evaluation of the Effect of the Dynamic Behavior and Topology Co-Learning of Neurons and Synapses on the Small-Sample Learning Ability of Spiking Neural Network. Brain Sciences. 12:139 doi
Yamazaki K, Vo-Ho VK, Bulsara D and Le N (2022) Spiking Neural Networks and Their Applications: A Review. Brain Sciences. 12:863 doi
Turner JP, Knight JC, Subramanian A and Nowotny T (2022) mlGeNN: accelerating SNN inference using GPU-enabled neural networks. Neuromorphic Computing and Engineering. 2:024002 doi
Trensch G and Morrison A (2022) A System-on-Chip Based Hybrid Neuromorphic Compute Node Architecture for Reproducible Hyper-Real-Time Simulations of Spiking Neural Networks. Frontiers in Neuroinformatics. 16:884033 doi
Trapani A, Sheiban FJ, Bertone E, Chiosso S, Colombo L, D'Andrea M, De Santis F, Fati F, Fossati V, Gonzalez V and Pedrocchi A (2022) Reproducing a decision-making network in a virtual visual discrimination task. Frontiers in Integrative Neuroscience. 16:930326 doi
Tiddia G, Golosio B, Albers J, Senk J, Simula F, Pronold J, Fanti V, Pastorelli E, Paolucci PS and van Albada SJ. (2022) Fast Simulation of a Multi-Area Spiking Network Model of Macaque Cortex on an MPI-GPU Cluster. Frontiers in Neuroinformatics. 16:883333 doi
Shrestha A, Fang H, Mei Z, Rider DP, Wu Q and Qiu Q (2022) A Survey on Neuromorphic Computing: Models and Hardware. IEEE Circuits and Systems Magazine. 22:6-35 doi
Schuman CD., Kulkarni SR., Parsa M, Mitchell J. P, Date P and Kay B (2022) Opportunities for neuromorphic computing algorithms and applications. Nature Computational Science. 2:10-19 doi
Schirner M, Domide L, Perdikis D, Triebkorn P, Stefanovski L, Pai R, Prodan P, Valean B, Palmer J, Langford C, Blickensdörfer A, van der Vlag M, Diaz-Pier S, Peyser A, Klijn W, Pleiter D, Nahm A, Schmid O, Woodman M, Zehl L, Fousek J, Petkoski S, Kusch L, Hashemi M, Marinazzo D, Mangin JF, Flöel A, Akintoye S, Stahl BC, Cepic M, Johnson E, Deco G, McIntosh AR, Hilgetag CC, Morgan M, Schuller B, Upton A, McMurtrie C, Dickscheid T, Bjaalie JG, Amunts K, Mersmann J, Jirsa V and Ritter P (2022) Brain simulation as a cloud service: The Virtual Brain on EBRAINS. NeuroImage. 251:118973 doi
Ramezanian-Panahi M, Abrevaya G, Gagnon-Audet JC, Voleti V, Rish I and Dumas G (2022) Generative Models of Brain Dynamics. Frontiers in Artificial Intelligence. 5:807406 doi
Qu P, Yang L, Zheng W and Zhang Y (2022) A review of basic software for brain-inspired computing. CCF Transactions on High Performance Computing. 4:34-42 doi
Pronold J, Jordan J, Wylie BJ. N., Kitayama I, Diesmann M and Kunkel S (2022) Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring. Frontiers in Neuroinformatics. 15:785068 doi
Pronold J., Jordan J., Wylie B.J.N., Kitayama I., Diesmann M. and Kunkel S. (2022) Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers. Parallel Computing. 113:102952 doi
Petschenig H, Bisio M, Maschietto M, Leparulo A, Legenstein R and Vassanelli S (2022) Classification of Whisker Deflections From Evoked Responses in the Somatosensory Barrel Cortex With Spiking Neural Networks. Frontiers in Neuroscience. 16:838054 doi
Peres L and Rhodes O (2022) Parallelization of Neural Processing on Neuromorphic Hardware. Frontiers in Neuroscience. 16:867027 doi
Panagiotou S, Sidiropoulos H, Soudris D, Negrello M and Strydis C (2022) EDEN: A High-Performance, General-Purpose, NeuroML-Based Neural Simulator. Frontiers in Neuroinformatics. 16:724336 doi
Ostrau C, Klarhorst C, Thies M and Rückert U (2022) Benchmarking Neuromorphic Hardware and Its Energy Expenditure. Frontiers in Neuroscience. 16:873935 doi
Osborne H and de Kamps M (2022) A numerical population density technique for N-dimensional neuron models. Frontiers in Neuroinformatics. 16:883796 doi
Müller E, Arnold E, Breitwieser O, Czierlinski M, Emmel A, Kaiser J, Mauch C, Schmitt S, Spilger P, Stock R, Stradmann Y, Weis J, Baumbach A, Billaudelle S, Cramer B, Ebert F, Göltz J, Ilmberger J, Karasenko V, Kleider M, Leibfried A, Pehle C and Schemmel J (2022) A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware. Frontiers in Neuroscience. 16:884128 doi
Maith O, Dinkelbach HÜ, Baladron J, Vitay J and Hamker FH. (2022) BOLD Monitoring in the Neural Simulator ANNarchy. Frontiers in Neuroinformatics. 16:790966 doi
Lopes PH., Oliveira BC, de S. Souza AA and Blanco W (2022) Mitigating Computer Limitations in Replicating Numerical Simulations of a Neural Network Model With Hodgkin-Huxley-Type Neurons. Frontiers in Neuroinformatics. 16:874234 doi
Li G and Yap PT (2022) From descriptive connectome to mechanistic connectome: Generative modeling in functional magnetic resonance imaging analysis. Frontiers in Human Neuroscience. 16:940842 doi
Leone G, Raffo L and Meloni P (2022) A Bandwidth-Efficient Emulator of Biologically-Relevant Spiking Neural Networks on FPGA. IEEE Access. 10:76780-76793 doi
Lee JH, Tsunada J, Vijayan S and Cohen YE. (2022) Cortical circuit-based lossless neural integrator for perceptual decision-making: A computational modeling study. Frontiers in Computational Neuroscience. 16:979830 doi
Layer M, Senk J, Essink S, van Meegen A, Bos H and Helias M (2022) NNMT: Mean-Field Based Analysis Tools for Neuronal Network Models. Frontiers in Neuroinformatics. 16:835657 doi
Ladd A, Kim KG, Balewski J, Bouchard K and Ben-Shalom R (2022) Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models. Frontiers in Neuroinformatics. 16:882552 doi
Kurth AC, Senk J, Terhorst D, Finnerty J and Diesmann M (2022) Sub-realtime simulation of a neuronal network of natural density. Neuromorphic Computing and Engineering. 2:021001 doi
Kon M and Francis G (2022) Cortical circuits for top-down control of perceptual grouping. Neural Networks. 151:190-210 doi
Javanshir A, Nguyen TT, Mahmud M. A. P and Kouzani AZ. (2022) Advancements in Algorithms and Neuromorphic Hardware for Spiking Neural Networks. Neural Computation. 34:1289-1328 doi
Huang C, Zeldenrust F and Celikel T (2022) Cortical Representation of Touch in Silico. Neuroinformatics:1-27 doi
Heittmann A, Psychou G, Trensch G, Cox CE., Wilcke WW., Diesmann M and Noll TG. (2022) Simulating the Cortical Microcircuit Significantly Faster Than Real Time on the IBM INC-3000 Neural Supercomputer. Frontiers in Neuroscience. 15:728460 doi
Hagen E, Magnusson SH., Ness TV., Halnes G, Babu PN., Linssen C, Morrison A and Einevoll GT. (2022) Brain signal predictions from multi-scale networks using a linearized framework. PLoS Computational Biology. 18:e1010353 doi
Geminiani A, Mockevičius A, D’Angelo E and Casellato C (2022) Cerebellum Involvement in Dystonia During Associative Motor Learning: Insights From a Data-Driven Spiking Network Model. Frontiers in Systems Neuroscience. 16:919761 doi
Feldotto B, Eppler JM, Jimenez-Romero C, Bignamini C, Gutierrez CE, Albanese U, Retamino E, Vorobev V, Zolfaghari V, Upton A, Sun Z, Yamaura H, Heidarinejad M, Klijn W, Morrison A, Cruz F, McMurtrie C, Knoll AC., Igarashi J, Yamazaki T, Doya K and Morin FO. (2022) Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure. Frontiers in Neuroinformatics. 16:884180 doi
Feldotto B, Soare C, Knoll A, Sriya P, Astill S, de Kamps M and Chakrabarty S (2022) Evaluating Muscle Synergies With EMG Data and Physics Simulation in the Neurorobotics Platform. Frontiers in Neurorobotics. 16:856797 doi
De Schepper R, Geminiani A, Masoli S, Rizza MF, Antonietti A, Casellato C and D’Angelo E (2022) Model simulations unveil the structure-function-dynamics relationship of the cerebellar cortical microcircuit. Communications Biology. 5:1240 doi
Chrysanthidis N, Fiebig F, Lansner A and Herman P (2022) Traces of Semantization, from Episodic to Semantic Memory in a Spiking Cortical Network Model. eNeuro. 9:eneuro.0062-22.2022 doi
Chakravarty K, Roy S, Sinha A, Nambu A, Chiken S, Kotaleski JH and Kumar A (2022) Transient Response of Basal Ganglia Network in Healthy and Low-Dopamine State. eNeuro. 9:eneuro.0376-21.2022 doi
Bouhadjar Y, Diesmann M, Wouters DJ and Tetzlaff T (2022) Sequence learning, prediction, and replay in networks of spiking neurons.. PLoS computational biology. 18:e1010233 doi
Awile O, Kumbhar P, Cornu N, Dura-Bernal S, King JG, Lupton O, Magkanaris I, McDougal RA., Newton AJ. H., Pereira F, Săvulescu A, Carnevale NT., Lytton WW., Hines ML. and Schürmann F (2022) Modernizing the NEURON Simulator for Sustainability, Portability, and Performance. Frontiers in Neuroinformatics. 16:884046 doi
Antonietti A, Geminiani A, Negri E, D'Angelo E, Casellato C and Pedrocchi A (2022) Brain-Inspired Spiking Neural Network Controller for a Neurorobotic Whisker System. Frontiers in Neurorobotics. 16:817948 doi
Albers J, Pronold J, Kurth AC, Vennemo SB, Mood KH, Patronis A, Terhorst D, Jordan J, Kunkel S, Tetzlaff T, Diesmann M and Senk J (2022) A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations. Frontiers in Neuroinformatics. 16:837549 doi
Aitsam M, Davies S and Nuovo AD (2022) Neuromorphic Computing for Interactive Robotics: A Systematic Review. Institute of Electrical and Electronics Engineers (IEEE) IEEE Access. 10:122261–122279 doi
Ronchini M, Zamani M, Huynh HA, Rezaeiyan Y, Panuccio G, Farkhani H and Moradi F (2021) A CMOS-based neuromorphic device for seizure detection from LFP signals. IOP Publishing Journal of Physics D: Applied Physics. 55:014001 doi
Santos-Mayo A, Moratti S, Echegaray Jde and Susi G (2021) A Model of the Early Visual System Based on Parallel Spike-Sequence Detection, Showing Orientation Selectivity. MDPI AG Biology. 10:801 doi
Dominguez-Morales JP., Buccelli S, Gutierrez-Galan D, Colombi I, Jimenez-Fernandez A and Chiappalone M (2021) Real-time detection of bursts in neuronal cultures using a neuromorphic auditory sensor and spiking neural networks. Elsevier BV Neurocomputing. 449:422–434 doi
Angelidis E, Buchholz E, Arreguit J, Rougé A, Stewart T, Arnim Avon, Knoll A and Ijspeert A (2021) A spiking central pattern generator for the control of a simulated lamprey robot running on SpiNNaker and Loihi neuromorphic boards. IOP Publishing Neuromorphic Computing and Engineering. 1:014005 doi
Bologna LL., Smiriglia R, Curreri D and Migliore M (2021) The EBRAINS NeuroFeatureExtract: An Online Resource for the Extraction of Neural Activity Features From Electrophysiological Data. Frontiers Media SA Frontiers in Neuroinformatics. 15:713899 doi
Osborne H, Lai YM, Lepperød ME, Sichau D, Deutz L and Kamps Mde (2021) MIIND : A Model-Agnostic Simulator of Neural Populations. Frontiers Media SA Frontiers in Neuroinformatics. 15:614881 doi
Zweifel NO., Bush NE., Abraham I, Murphey TD. and Hartmann MJ. Z. (2021) A dynamical model for generating synthetic data to quantify active tactile sensing behavior in the rat. Proceedings of the National Academy of Sciences Proceedings of the National Academy of Sciences. 118:e2011905118 doi
Romaro C, Najman FA, Lytton WW., Roque AC. and Dura-Bernal S (2021) NetPyNE Implementation and Scaling of the Potjans-Diesmann Cortical Microcircuit Model. MIT Press - Journals Neural Computation. 33:1993–2032 doi
Susi G, Garcés P, Paracone E, Cristini A, Salerno M, Maestú F and Pereda E (2021) FNS allows efficient event-driven spiking neural network simulations based on a neuron model supporting spike latency. Springer Science and Business Media LLC Scientific Reports. 11:12160 doi
Shimoura RO, Pena RF. O., Lima V, Kamiji NL., Girardi-Schappo M and Roque AC. (2021) Building a model of the brain: from detailed connectivity maps to network organization. Springer Science and Business Media LLC The European Physical Journal Special Topics. 230:2887–2909 doi
Stapmanns J, Hahne J, Helias M, Bolten M, Diesmann M and Dahmen D (2021) Event-Based Update of Synapses in Voltage-Based Learning Rules. Frontiers Media SA Frontiers in Neuroinformatics. 15:609147 doi
Moon J, Wu Y, Zhu X and Lu WD. (2021) Neural connectivity inference with spike-timing dependent plasticity network. Springer Science and Business Media LLC Science China Information Sciences. 64:160405 doi
Dazza M, Métens S, Monceau P and Bottani S (2021) A novel methodology to describe neuronal networks activity reveals spatiotemporal recruitment dynamics of synchronous bursting states. Springer Science and Business Media LLC Journal of Computational Neuroscience. 49:375–394 doi
Schmuker M, Kupper R, Aertsen A, Wachtler T and Gewaltig MO (2021) Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code. Springer Science and Business Media LLC Biological Cybernetics. 115:161–176 doi
Weidel P, Duarte R and Morrison A (2021) Unsupervised Learning and Clustered Connectivity Enhance Reinforcement Learning in Spiking Neural Networks. Frontiers Media SA Frontiers in Computational Neuroscience. 15:543872 doi
Knight JC. and Nowotny T (2021) Larger GPU-accelerated brain simulations with procedural connectivity. Springer Science and Business Media LLC Nature Computational Science. 1:136–142 doi
Kasi SK, Das S and Biswas S (2021) Energy-efficient event pattern recognition in wireless sensor networks using multilayer spiking neural networks. Springer Science and Business Media LLC Wireless Networks. 27:2039–2054 doi
Wybo WA, Jordan J, Ellenberger B, Mengual UM, Nevian T and Senn W (2021) Data-driven reduction of dendritic morphologies with preserved dendro-somatic responses. eLife Sciences Publications, Ltd eLife. 10:e60936 doi
Yin Y (2021) RANDOM NEURAL NETWORK METHODS AND DEEP LEARNING. Cambridge University Press (CUP) Probability in the Engineering and Informational Sciences:1–31 doi
Wardak A and Gong P (2021) Fractional diffusion theory of balanced heterogeneous neural networks. American Physical Society (APS) Physical Review Research. 3:013083 doi
Yin Y (2021) RANDOM NEURAL NETWORK METHODS AND DEEP LEARNING. Probability in the Engineering and Informational Sciences. 35:6-36 doi
Yamazaki T, Igarashi J and Yamaura H (2021) Human-scale brain simulation via supercomputer: a case study on the cerebellum. Neuroscience. 462:235-246 doi
Tsang IJ, Corradi F, Sifalakis M, Van Leekwijck W and Latré S (2021) Radar-Based Hand Gesture Recognition Using Spiking Neural Networks. Electronics. 10:1405 doi
Trimarco E, Mirino P and Caligiore D (2021) Cortico-Cerebellar Hyper-Connections and Reduced Purkinje Cells Behind Abnormal Eyeblink Conditioning in a Computational Model of Autism Spectrum Disorder. Frontiers in Systems Neuroscience. 15:666649 doi
Steffen L, Koch R, Ulbrich S, Nitzsche S, Roennau A and Dillmann R (2021) Benchmarking Highly Parallel Hardware for Spiking Neural Networks in Robotics. Frontiers in Neuroscience. 15:667011 doi
Spreizer S, Senk J, Rotter S, Diesmann M and Weyers B (2021) NEST Desktop, an Educational Application for Neuroscience. eNeuro. 8:eneuro.0274-21.2021 doi
Scheffer LK. and Meinertzhagen IA. (2021) A connectome is not enough – what is still needed to understand the brain of Drosophila?. Journal of Experimental Biology. 224 doi
Nguyen QAP, Andelfinger P, Tan WJ, Cai W and Knoll A (2021) Transitioning Spiking Neural Network Simulators to Heterogeneous Hardware. ACM Transactions on Modeling and Computer Simulation. 31:1-26 doi
Meamardoost S, Bhattacharya M, Hwang EJ, Komiyama T, Mewes C, Wang L, Zhang Y and Gunawan R (2021) FARCI: Fast and Robust Connectome Inference. Brain Sciences. 11:1556 doi
Lazar AA, Liu T, Turkcan MK and Zhou Y (2021) Accelerating with FlyBrainLab the discovery of the functional logic of the Drosophila brain in the connectomic era. eLife. 10:e62362 doi
Kuriyama R, Casellato C, D'Angelo E and Yamazaki T (2021) Real-Time Simulation of a Cerebellar Scaffold Model on Graphics Processing Units. Frontiers in Cellular Neuroscience. 15:623552 doi
Kulkarni SR., Parsa M, Mitchell J. P and Schuman CD. (2021) Benchmarking the performance of neuromorphic and spiking neural network simulators. Neurocomputing. 447:145-160 doi
Jordan J, Schmidt M, Senn W and Petrovici MA (2021) Evolving interpretable plasticity for spiking networks. eLife. 10:e66273 doi
He H, Wang Q, Yang X, Lei Y, Cai J and Deng N (2021) A memory neural system built based on spiking neural network. Neurocomputing. 442:146-160 doi
Dasbach S, Tetzlaff T, Diesmann M and Senk J (2021) Dynamical Characteristics of Recurrent Neuronal Networks Are Robust Against Low Synaptic Weight Resolution. Frontiers in Neuroscience. 15:757790 doi
Cakan C, Jajcay N and Obermayer K (2021) neurolib: A Simulation Framework for Whole-Brain Neural Mass Modeling. Cognitive Computation:1-21 doi
Antolik J, Sabatier Q, Galle C, Frégnac Y and Benosman R (2021) Assessment of optogenetically-driven strategies for prosthetic restoration of cortical vision in large-scale neural simulation of V1. Scientific Reports. 11:10783 doi
Dai K, Gratiy SL., Billeh YN., Xu R, Cai B, Cain N, Rimehaug AE., Stasik AJ., Einevoll GT., Mihalas S, Koch C and Arkhipov A (2020) Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits. Public Library of Science (PLOS) PLOS Computational Biology. 16:e1008386 doi
Jordan J, Helias M, Diesmann M and Kunkel S (2020) Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions. Frontiers Media SA Frontiers in Neuroinformatics. 14:12 doi
Senk J, Korvasova K, Schuecker J, Hagen E, Tetzlaff T, Diesmann M and Helias M (2020) Conditions for wave trains in spiking neural networks. American Physical Society (APS) Physical Review Research. 2:023174 doi
Martı́nez-Cancino R, Delorme A, Truong D, Artoni F, Kreutz-Delgado K, Sivagnanam S, Yoshimoto K, Majumdar A and Makeig S (2020) The Open EEGLAB Portal Interface:High-Performance Computing with EEGLAB. Elsevier BV NeuroImage:116778 doi
Yamaura H, Igarashi J and Yamazaki T (2020) Simulation of a Human-Scale Cerebellar Network Model on the K Computer. Frontiers Media SA Frontiers in Neuroinformatics. 14:16 doi
Aljalbout E, Walter F, Röhrbein F and Knoll A (2020) Task-Independent Spiking Central Pattern Generator: A Learning-Based Approach. Springer Science and Business Media LLC Neural Processing Letters. 51:2751–2764 doi
Fiebig F, Herman P and Lansner A (2020) An Indexing Theory for Working Memory Based on Fast Hebbian Plasticity. Society for Neuroscience eneuro. 7:ENEURO.0374–19.2020 doi
Billeh YN., Cai B, Gratiy SL., Dai K, Iyer R, Gouwens NW., Abbasi-Asl R, Jia X, Siegle JH., Olsen SR., Koch C, Mihalas S and Arkhipov A (2020) Systematic Integration of Structural and Functional Data into Multi-scale Models of Mouse Primary Visual Cortex. Elsevier BV Neuron. 106:388–403.e18 doi
Yang X, Lin J, Zheng W, Zhao J, Ji M, Lei Y and Chai Z (2020) Research on learning mechanism designing for equilibrated bipolar spiking neural networks. Springer Science and Business Media LLC Artificial Intelligence Review. 53:5189–5215 doi
Dai K, Hernando J, Billeh YN., Gratiy SL., Planas J, Davison AP., Dura-Bernal S, Gleeson P, Devresse A, Dichter BK., Gevaert M, King JG., Geit WA. H. V, Povolotsky AV., Muller E, Courcol JD and Arkhipov A (2020) The SONATA data format for efficient description of large-scale network models. Public Library of Science (PLoS) PLOS Computational Biology. 16:e1007696 doi
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LaTorre A, Kwong MT, Garcı́a-Grajales JA., Shi R, Jérusalem A and Peña JḾa (2020) Model calibration using a parallel differential evolution algorithm in computational neuroscience: Simulation of stretch induced nerve deficit. Elsevier BV Journal of Computational Science. 39:101053 doi
Balaji A, Catthoor F, Das A, Wu Y, Huynh K, Dell-Anna FG., Indiveri G, Krichmar JL., Dutt ND. and Schaafsma S (2020) Mapping Spiking Neural Networks to Neuromorphic Hardware. Institute of Electrical and Electronics Engineers (IEEE) IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 28:76–86 doi
Vlag MA. van der, Smaragdos G, Al-Ars Z and Strydis C (2020) Exploring Complex Brain-Simulation Workloads on Multi-GPU Deployments. Association for Computing Machinery (ACM) ACM Transactions on Architecture and Code Optimization. 16:1–25 doi
Senden M, Peters J, Röhrbein F, Deco G and Goebel R (2020) Editorial: The Embodied Brain: Computational Mechanisms of Integrated Sensorimotor Interactions With a Dynamic Environment. Frontiers in Computational Neuroscience. 14:53 doi
Rostro-Gonzalez H, Lauterio-Cruz JP and Pottiez O (2020) Modelling Neural Dynamics with Optics: A New Approach to Simulate Spiking Neurons through an Asynchronous Laser. Electronics. 9:1853 doi
Romano V, Reddington AL., Cazzanelli S, Mazza R, Ma Y, Strydis C, Negrello M, Bosman LW.J. and De Zeeuw CI. (2020) Functional Convergence of Autonomic and Sensorimotor Processing in the Lateral Cerebellum. Cell Reports. 32:107867 doi
Rhodes O, Peres L, Rowley AG. D., Gait A, Plana LA., Brenninkmeijer C and Furber SB. (2020) Real-time cortical simulation on neuromorphic hardware.. Philosophical Transactions of The Royal Society A Mathematical Physical and Engineering Sciences. 378:20190160 doi
Rezaei H, Aertsen A, Kumar A and Valizadeh A (2020) Facilitating the propagation of spiking activity in feedforward networks by including feedback. PLoS Computational Biology. 16:e1008033 doi
Qu P, Zhang Y, Fei X and Zheng W (2020) High Performance Simulation of Spiking Neural Network on GPGPUs. IEEE Transactions on Parallel and Distributed Systems. 31:2510-2523 doi
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