default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAnders Lansner
Person information
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j54]Jiawei Xu
, Yi Zheng, Feng Li, Dimitrios Stathis, Ruisi Shen, Haoming Chu, Anders Lansner, Lirong Zheng, Zhuo Zou, Ahmed Hemani:
Modeling Cycle-to-Cycle Variation in Memristors for In-Situ Unsupervised Trace-STDP Learning. IEEE Trans. Circuits Syst. II Express Briefs 71(2): 627-631 (2024)- [c30]Deyu Wang, Yuning Wang, Yu Yang, Dimitrios Stathis, Ahmed Hemani, Anders Lansner, Jiawei Xu, Li-Rong Zheng, Zhuo Zou:
FPGA-Based HPC for Associative Memory System. ASPDAC 2024: 52-57 - [i13]Anders Lansner, Naresh Balaji Ravichandran, Pawel Andrzej Herman:
Benchmarking Hebbian learning rules for associative memory. CoRR abs/2401.00335 (2024) - [i12]Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman:
Spiking representation learning for associative memories. CoRR abs/2406.03054 (2024) - [i11]Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman:
Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks. CoRR abs/2406.04733 (2024) - 2023
- [j53]Deyu Wang, Jiawei Xu, Feng Li, Lianhao Zhang, Chengwei Cao, Dimitrios Stathis, Anders Lansner, Ahmed Hemani, Lirong Zheng, Zhuo Zou:
A Memristor-Based Learning Engine for Synaptic Trace-Based Online Learning. IEEE Trans. Biomed. Circuits Syst. 17(5): 1153-1165 (2023) - [c29]Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman:
Spiking neural networks with Hebbian plasticity for unsupervised representation learning. ESANN 2023 - [i10]Anders Lansner, Florian Fiebig, Pawel Andrzej Herman:
Hebbian fast plasticity and working memory. CoRR abs/2304.06626 (2023) - [i9]Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman:
Spiking neural networks with Hebbian plasticity for unsupervised representation learning. CoRR abs/2305.03866 (2023) - 2022
- [c28]Deyu Wang, Jiawei Xu, Feng Li, Lianhao Zhang, Yuning Wang, Anders Lansner, Ahmed Hemani, Lirong Zheng, Zhuo Zou:
Memristor-Based In-Circuit Computation for Trace-Based STDP. AICAS 2022: 1-4 - [c27]Patrícia Pereira, Anders Lansner, Pawel Andrzej Herman:
Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve. IJCNN 2022: 1-7 - [c26]Anders Lansner:
CORtEX 2022 Invited Speaker 2: Brain-like machine learning using BCPNN. IPDPS Workshops 2022: 1238 - [c25]Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman:
Brain-like Combination of Feedforward and Recurrent Network Components Achieves Prototype Extraction and Robust Pattern Recognition. LOD (2) 2022: 488-501 - [i8]Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman:
Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition. CoRR abs/2206.15036 (2022) - 2021
- [c24]Jiawei Xu, Deyu Wang, Feng Li, Lianhao Zhang, Dimitrios Stathis, Yu Yang, Yi Jin, Anders Lansner, Ahmed Hemani, Zhuo Zou, Li-Rong Zheng:
A Memristor Model with Concise Window Function for Spiking Brain-Inspired Computation. AICAS 2021: 1-4 - [c23]Dimitrios Stathis, Yu Yang, Ahmed Hemani, Anders Lansner:
Approximate computation of post-synaptic spikes reduces bandwidth to synaptic storage in a model of cortex. DATE 2021: 685-688 - [c22]Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman:
Semi-supervised learning with Bayesian Confidence Propagation Neural Network. ESANN 2021 - [c21]Artur Podobas, Martin Svedin, Steven Wei Der Chien, Ivy Bo Peng, Naresh Balaji Ravichandran, Pawel Andrzej Herman, Anders Lansner, Stefano Markidis:
StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs. HEART 2021: 8:1-8:6 - [c20]Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman:
Brain-Like Approaches to Unsupervised Learning of Hidden Representations - A Comparative Study. ICANN (5) 2021: 162-173 - [i7]Artur Podobas, Martin Svedin, Steven Wei Der Chien, Ivy Bo Peng, Naresh Balaji Ravichandran, Pawel Andrzej Herman, Anders Lansner, Stefano Markidis:
StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs. CoRR abs/2106.05373 (2021) - [i6]Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman:
Semi-supervised learning with Bayesian Confidence Propagation Neural Network. CoRR abs/2106.15546 (2021) - 2020
- [j52]Dimitrios Stathis, Chirag Sudarshan, Yu Yang, Matthias Jung, Christian Weis, Ahmed Hemani, Anders Lansner, Norbert Wehn:
eBrainII: a 3 kW Realtime Custom 3D DRAM Integrated ASIC Implementation of a Biologically Plausible Model of a Human Scale Cortex. J. Signal Process. Syst. 92(11): 1323-1343 (2020) - [c19]Gianluca Villani, Matin Jafarian, Anders Lansner, Karl Henrik Johansson:
Analysis of free recall dynamics of an abstract working memory model. ACC 2020: 2562-2567 - [c18]Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman:
Learning representations in Bayesian Confidence Propagation neural networks. IJCNN 2020: 1-7 - [c17]Lizheng Liu, Deyu Wang, Yuning Wang, Anders Lansner, Ahmed Hemani, Yu Yang, Xiaoming Hu, Zhuo Zou, Lirong Zheng:
A FPGA-based Hardware Accelerator for Bayesian Confidence Propagation Neural Network. NorCAS 2020: 1-6 - [i5]Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman:
Learning representations in Bayesian Confidence Propagation neural networks. CoRR abs/2003.12415 (2020) - [i4]Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman:
Brain-like approaches to unsupervised learning of hidden representations - a comparative study. CoRR abs/2005.03476 (2020)
2010 – 2019
- 2019
- [j51]Nikolaos Chrysanthidis, Florian Fiebig, Anders Lansner:
Introducing double bouquet cells into a modular cortical associative memory model. J. Comput. Neurosci. 47(2-3): 223-230 (2019) - [c16]Ramon H. Martinez, Oskar Kviman, Anders Lansner, Pawel Andrzej Herman:
Sequence Disambiguation with Synaptic Traces in Associative Neural Networks. ICANN (1) 2019: 793-805 - [i3]Gianluca Villani, Matin Jafarian, Anders Lansner, Karl Henrik Johansson:
Analysis of free recall dynamics of an abstract working memory model. CoRR abs/1910.11742 (2019) - [i2]Dimitrios Stathis, Chirag Sudarshan, Yu Yang, Matthias Jung, Syed Mohammad Asad Hassan Jafri, Christian Weis, Ahmed Hemani, Anders Lansner, Norbert Wehn:
eBrainII: A 3 kW Realtime Custom 3D DRAM integrated ASIC implementation of a Biologically Plausible Model of a Human Scale Cortex. CoRR abs/1911.00889 (2019) - 2018
- [c15]Naresh Balaji Ravichandran, Fangkai Yang, Christopher E. Peters, Anders Lansner, Pawel Andrzej Herman:
Pedestrian simulation as multi-objective reinforcement learning. IVA 2018: 307-312 - 2017
- [c14]Pawel Andrzej Herman, Simon Benjaminsson, Anders Lansner:
Odor recognition in an attractor network model of the mammalian olfactory cortex. IJCNN 2017: 3561-3568 - 2016
- [j50]Philip J. Tully, Henrik Lindén, Matthias H. Hennig, Anders Lansner:
Spike-Based Bayesian-Hebbian Learning of Temporal Sequences. PLoS Comput. Biol. 12(5) (2016) - 2015
- [j49]Alberto Mazzoni, Henrik Lindén, Hermann Cuntz, Anders Lansner, Stefano Panzeri, Gaute T. Einevoll:
Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models. PLoS Comput. Biol. 11(12) (2015) - 2014
- [j48]Florian Fiebig, Anders Lansner:
Memory consolidation from seconds to weeks: a three-stage neural network model with autonomous reinstatement dynamics. Frontiers Comput. Neurosci. 8: 64 (2014) - [c13]Anders Lansner, Ahmed Hemani, Nasim Farahini:
Spiking brain models: Computation, memory and communication constraints for custom hardware implementation. ASP-DAC 2014: 556-562 - [c12]Nasim Farahini, Ahmed Hemani, Anders Lansner, Fabien Clermidy, Christer Svensson:
A scalable custom simulation machine for the Bayesian Confidence Propagation Neural Network model of the brain. ASP-DAC 2014: 578-585 - [c11]Bernhard A. Kaplan, Mina A. Khoei, Anders Lansner, Laurent U. Perrinet:
Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network. IJCNN 2014: 3205-3212 - [i1]Mihai A. Petrovici, Bernhard Vogginger, Paul Müller, Oliver Breitwieser, Mikael Lundqvist, Lyle Muller, Matthias Ehrlich, Alain Destexhe, Anders Lansner, René Schüffny, Johannes Schemmel, Karlheinz Meier:
Bridging the gap between software simulation and emulation on neuromorphic hardware: An investigation of causes, effects and compensation of network-level anomalies in a mixed-signal waferscale neuromorphic modeling platform. CoRR abs/1404.7514 (2014) - 2013
- [j47]Bernhard A. Kaplan, Anders Lansner, Guillaume S. Masson, Laurent U. Perrinet:
Anisotropic connectivity implements motion-based prediction in a spiking neural network. Frontiers Comput. Neurosci. 7: 112 (2013) - [j46]Mikael Lundqvist, Pawel Andrzej Herman, J. Matias Palva, Satu Palva, David Silverstein, Anders Lansner:
Stimulus detection rate and latency, firing rates and 1-40 Hz oscillatory power are modulated by infra-slow fluctuations in a bistable attractor network model. NeuroImage 83: 458-471 (2013) - 2011
- [j45]Daniel Brüderle, Mihai A. Petrovici, Bernhard Vogginger, Matthias Ehrlich, Thomas Pfeil, Sebastian Millner, Andreas Grübl, Karsten Wendt, Eric Müller, Marc-Olivier Schwartz, Dan Husmann de Oliveira, Sebastian Jeltsch, Johannes Fieres, Moritz Schilling, Paul Müller, Oliver Breitwieser, Venelin Petkov, Lyle Muller, Andrew P. Davison, Pradeep Krishnamurthy, Jens Kremkow, Mikael Lundqvist, Eilif Mueller, Johannes Partzsch, Stefan Scholze, Lukas Zühl, Christian Mayr, Alain Destexhe, Markus Diesmann, Tobias C. Potjans, Anders Lansner, René Schüffny, Johannes Schemmel, Karlheinz Meier:
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems. Biol. Cybern. 104(4-5): 263-296 (2011) - [j44]David Silverstein, Anders Lansner:
Is Attentional Blink a Byproduct of Neocortical Attractors? Frontiers Comput. Neurosci. 5: 13 (2011) - [j43]Mikael Lundqvist, Pawel Andrzej Herman, Anders Lansner:
Theta and Gamma Power Increases and Alpha/Beta Power Decreases with Memory Load in an Attractor Network Model. J. Cogn. Neurosci. 23(10): 3008-3020 (2011) - [c10]Jordi Fonollosa, Agustin Gutierrez-Galvez, Anders Lansner, Dominique Martinez, Jean-Pierre Rospars, Romeo Beccherelli, Alexandre Perera, Tim C. Pearce, Paul Vershure, Krishna C. Persaud, Santiago Marco:
Biologically Inspired Computation for Chemical Sensing. FET 2011: 226-227 - 2010
- [j42]Mikael Lundqvist, Albert Compte, Anders Lansner:
Bistable, Irregular Firing and Population Oscillations in a Modular Attractor Memory Network. PLoS Comput. Biol. 6(6) (2010)
2000 – 2009
- 2009
- [j41]Christopher Johansson, Anders Lansner:
Implementing plastic weights in neural networks using low precision arithmetic. Neurocomputing 72(4-6): 968-972 (2009) - [j40]Malin Sandström, Anders Lansner, Jeanette Hellgren Kotaleski, Jean-Pierre Rospars:
Modeling the response of a population of olfactory receptor neurons to an odorant. J. Comput. Neurosci. 27(3): 337-355 (2009) - 2008
- [j39]Mikael Djurfeldt, Örjan Ekeberg, Anders Lansner:
Large-scale modeling - a tool for conquering the complexity of the brain. Frontiers Neuroinformatics 2: 1 (2008) - [j38]Mikael Djurfeldt, Mikael Lundqvist, Christopher Johansson, Martin Rehn, Örjan Ekeberg, Anders Lansner:
Brain-scale simulation of the neocortex on the IBM Blue Gene/L supercomputer. IBM J. Res. Dev. 52(1-2): 31-42 (2008) - 2007
- [j37]Alexander K. Kozlov, Anders Lansner, Sten Grillner, Jeanette Hellgren Kotaleski:
A hemicord locomotor network of excitatory interneurons: a simulation study. Biol. Cybern. 96(2): 229-243 (2007) - [j36]Malin Sandström, Jeanette Hellgren Kotaleski, Anders Lansner:
Scaling effects in a model of the olfactory bulb. Neurocomputing 70(10-12): 1802-1807 (2007) - [j35]Romain Brette, Michelle Rudolph, Ted Carnevale, Michael L. Hines, David Beeman, James M. Bower, Markus Diesmann, Abigail Morrison, Philip H. Goodman, Frederick C. Harris Jr., Milind Zirpe, Thomas Natschläger, Dejan Pecevski, Bard Ermentrout, Mikael Djurfeldt, Anders Lansner, Olivier Rochel, Thierry Viéville, Eilif Mueller, Andrew P. Davison, Sami El Boustani, Alain Destexhe:
Simulation of networks of spiking neurons: A review of tools and strategies. J. Comput. Neurosci. 23(3): 349-398 (2007) - [j34]Christopher Johansson, Anders Lansner:
Imposing Biological Constraints onto an Abstract Neocortical Attractor Network Model. Neural Comput. 19(7): 1871-1896 (2007) - [j33]Christopher Johansson, Anders Lansner:
Towards cortex sized artificial neural systems. Neural Networks 20(1): 48-61 (2007) - 2006
- [j32]Christopher Johansson, Örjan Ekeberg, Anders Lansner:
Clustering of Stored Memories in an Attractor Network with Local Competition. Int. J. Neural Syst. 16(6): 393-404 (2006) - [j31]Christopher Johansson, Martin Rehn, Anders Lansner:
Attractor neural networks with patchy connectivity. Neurocomputing 69(7-9): 627-633 (2006) - [j30]Malin Sandström, Johannes Hjorth, Anders Lansner, Jeanette Hellgren Kotaleski:
The impact of the distribution of isoforms on CaMKII activation. Neurocomputing 69(10-12): 1010-1013 (2006) - [j29]Mikael Lundqvist, Martin Rehn, Anders Lansner:
Attractor dynamics in a modular network model of the cerebral cortex. Neurocomputing 69(10-12): 1155-1159 (2006) - [c9]Christopher Johansson, Anders Lansner:
Attractor Memory with Self-organizing Input. BioADIT 2006: 265-280 - [c8]Rebecca Steinert, Martin Rehn, Anders Lansner:
Recognition of handwritten digits using sparse codes generated by local feature extraction methods. ESANN 2006: 161-166 - 2005
- [j28]Baran Çürüklü, Anders Lansner:
A model of the summation pools within the layer 4 (area 17). Neurocomputing 65-66: 167-172 (2005) - [c7]Christopher Johansson, Martin Rehn, Anders Lansner:
Attractor neural networks with patchy connectivity. ESANN 2005: 429-434 - 2004
- [j27]Martin Rehn, Anders Lansner:
Sequence memory with dynamical synapses. Neurocomputing 58-60: 271-278 (2004) - [c6]Christopher Johansson, Anders Lansner:
Towards Cortex Sized Attractor ANN. BioADIT 2004: 63-79 - [c5]Christopher Johansson, Anders Lansner:
Towards Cortex Sized Artificial Nervous Systems. KES 2004: 959-966 - 2003
- [j26]David Eriksson, Erik Fransén, Yuri Zilberter, Anders Lansner:
Effects of short-term synaptic plasticity in a local microcircuit on cell firing. Neurocomputing 52-54: 7-12 (2003) - [j25]Alexander K. Kozlov, Anders Lansner, Sten Grillner:
Burst dynamics under mixed NMDA and AMPA drive in the models of the lamprey spinal CPG. Neurocomputing 52-54: 65-71 (2003) - [j24]Mikael Huss, Dietmar Hess, Boris Lamotte d'Incamps, Abdeljabbar El Manira, Anders Lansner, Jeanette Hellgren Kotaleski:
Role of A-current in lamprey locomotor network neurons. Neurocomputing 52-54: 295-300 (2003) - [j23]Anders Lansner, Erik Fransén, Anders Sandberg:
Cell assembly dynamics in detailed and abstract attractor models of cortical associative memory. Theory Biosci. 122(1): 19-36 (2003) - 2002
- [j22]Alexander K. Kozlov, Fredrik Ullén, Patriq Fagerstedt, Erik Aurell, Anders Lansner, Sten Grillner:
Mechanisms for lateral turns in lamprey in response to descending unilateral commands: a modeling study. Biol. Cybern. 86(1): 1-14 (2002) - [j21]Anders Sandberg, Anders Lansner:
Synaptic depression as an intrinsic driver of reinstatement dynamics in an attractor network. Neurocomputing 44-46: 615-622 (2002) - [c4]Christopher Johansson, Anders Sandberg, Anders Lansner:
Attractor Neural Networks with Hypercolumns. ICANN 2002: 192-197 - 2001
- [j20]Niclas Wahlgren, Anders Lansner:
Biological evaluation of a Hebbian-Bayesian learning rule. Neurocomputing 38-40: 433-438 (2001) - [j19]Anders Sandberg, Anders Lansner, Karl Magnus Petersson:
Selective enhancement of recall through plasticity modulation in an autoassociative memory. Neurocomputing 38-40: 867-873 (2001) - [j18]Alexander K. Kozlov, Jeanette Hellgren Kotaleski, Erik Aurell, Sten Grillner, Anders Lansner:
Modeling of Substance P and 5-HT Induced Synaptic Plasticity in the Lamprey Spinal CPG: Consequences for Network Pattern Generation. J. Comput. Neurosci. 11(2): 183-200 (2001) - [c3]Baran Çürüklü, Anders Lansner:
Spike and Burst Synchronization in a Detailed Cortical Network Model with I-F Neurons. ICANN 2001: 1095-1102 - 2000
- [j17]Alexander K. Kozlov, Jeanette Hellgren Kotaleski, Erik Aurell, Sten Grillner, Anders Lansner:
Modeling of plasticity of the synaptic connections in the lamprey spinal CPG - consequences for network behavior. Neurocomputing 32-33: 441-446 (2000) - [j16]Anders Sandberg, Anders Lansner, Karl Magnus Petersson, Örjan Ekeberg:
A palimpsest memory based on an incremental Bayesian learning rule. Neurocomputing 32-33: 987-994 (2000) - [c2]Anders Lansner, Anders Sandberg, Karl Magnus Petersson, Martin Ingvar:
On Forgetful Attractor Network Memories. ANNIMAB 2000: 54-62
1990 – 1999
- 1999
- [j15]Jeanette Hellgren Kotaleski, Anders Lansner, Sten Grillner:
Neural mechanisms potentially contributing to the intersegmental phase lag in lamprey. Biol. Cybern. 81(4): 299-315 (1999) - [j14]Jeanette Hellgren Kotaleski, Sten Grillner, Anders Lansner:
Neural mechanisms potentially contributing to the intersegmental phase lag in lamprey. Biol. Cybern. 81(4): 317-330 (1999) - [j13]Jeanette Hellgren Kotaleski, Jesper Tegnér, Sten Grillner, Anders Lansner:
Control of burst proportion and frequency range by drive-dependent modulation of adaptation. Neurocomputing 26-27: 185-191 (1999) - [j12]Mikael Djurfeldt, Anders Sandberg, Örjan Ekeberg, Anders Lansner:
See - A framework for simulation of biologically detailed and artificial neural networks and systems. Neurocomputing 26-27: 997-1003 (1999) - 1998
- [j11]Guang Li, Anders Lansner, Bertil Svensson:
Self-Orienting with On-Line Learning of Environmental Features. Adapt. Behav. 6(3-4): 535-566 (1998) - [j10]M. Ullström, Jeanette Hellgren Kotaleski, Jesper Tegnér, Erik Aurell, Sten Grillner, Anders Lansner:
Activity-dependent modulation of adaptation produces a constant burst proportion in a model of the lamprey spinal locomotor generator. Biol. Cybern. 79(1): 1-14 (1998) - [j9]Jesper Tegnér, Anders Lansner, Sten Grillner:
Modulation of Burst Frequency by Calcium-Dependent Potassium Channels in the Lamprey Locomotor System: Dependence of the Activity Level. J. Comput. Neurosci. 5(2): 121-140 (1998) - 1997
- [j8]Tom Wadden, Jeanette Hellgren, Anders Lansner, Sten Grillner:
Intersegmental coordination in the lamprey: simulations using a network model without segmental boundaries. Biol. Cybern. 76(1): 1-9 (1997) - [c1]Anders Lansner, Erik Fransén:
Attractor Network Models of Cortical Associative Memory. BCEC 1997: 238-250 - 1996
- [j7]Anders Lansner, Anders Holst:
A Higher order Bayesian Neural Network with Spiking Units. Int. J. Neural Syst. 7(2): 115-128 (1996) - 1995
- [j6]Örjan Ekeberg, Sten Grillner, Anders Lansner:
The Neural Control of Fish Swimming Studied Through Numerical Simulations. Adapt. Behav. 3(4): 363-384 (1995) - 1993
- [j5]Anders Holst, Anders Lansner:
A Flexible And Fault Tolerant Query-Reply System Based On A Bayesian Neural Network. Int. J. Neural Syst. 4(3): 257-267 (1993) - 1992
- [j4]Jeanette Hellgren, Sten Grillner, Anders Lansner:
Computer simulation of the segmental neural network generating locomotion in lamprey by using populations of network interneurons. Biol. Cybern. 68(1): 1-13 (1992) - 1991
- [j3]Örjan Ekeberg, Peter Wallén, Anders Lansner, Hans G. C. Tråvén, L. Brodin, Sten Grillner:
A computer based model for realistic simulations of neural networks. Biol. Cybern. 65(2): 81-90 (1991)
1980 – 1989
- 1989
- [j2]Anders Lansner, Örjan Ekeberg:
A One-Layer Feedback Artificial Neural Network with a Bayesian Learning Rule. Int. J. Neural Syst. 1(1): 77-87 (1989) - 1985
- [j1]Anders Lansner, Örjan Ekeberg:
Reliability and Speed of Recall in an Associative Network. IEEE Trans. Pattern Anal. Mach. Intell. 7(4): 490-498 (1985)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-17 21:33 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
