Anders Lansner

Anders Lansner

Kungliga Tekniska högskolan

H-index: 47

Europe-Sweden

About Anders Lansner

Anders Lansner, With an exceptional h-index of 47 and a recent h-index of 25 (since 2020), a distinguished researcher at Kungliga Tekniska högskolan, specializes in the field of Computational brain scienceBrain-like computing Machine learning Cognitive neuroscience.

His recent articles reflect a diverse array of research interests and contributions to the field:

FPGA-Based HPC for Associative Memory System

Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition

Modeling Cycle-to-Cycle Variation in Memristors for In-Situ Unsupervised Trace-STDP Learning

Associative memory and deep learning with Hebbian synaptic and structural plasticity

A memristor-based learning engine for synaptic trace-based online learning

Benchmarking Hebbian learning rules for associative memory

Spiking neural networks with Hebbian plasticity for unsupervised representation learning

Fast Hebbian plasticity and working memory

Anders Lansner Information

University

Position

professor of comptuter science Dept of Mathematics Stockholm university and

Citations(all)

11028

Citations(since 2020)

2975

Cited By

9107

hIndex(all)

47

hIndex(since 2020)

25

i10Index(all)

118

i10Index(since 2020)

49

Email

University Profile Page

Kungliga Tekniska högskolan

Google Scholar

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Anders Lansner Skills & Research Interests

Computational brain scienceBrain-like computing Machine learning Cognitive neuroscience

Top articles of Anders Lansner

Title

Journal

Author(s)

Publication Date

FPGA-Based HPC for Associative Memory System

Deyu Wang

Yuning Wang

Yu Yang

Dimitrios Stathis

Ahmed Hemani

...

2024/1/22

Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition

Naresh Balaji Ravichandran

Anders Lansner

Pawel Herman

2023/3/10

Modeling Cycle-to-Cycle Variation in Memristors for In-Situ Unsupervised Trace-STDP Learning

IEEE Transactions on Circuits and Systems II: Express Briefs

Jiawei Xu

Yi Zheng

Feng Li

Dimitrios Stathis

Ruisi Shen

...

2023/8/28

Associative memory and deep learning with Hebbian synaptic and structural plasticity

Naresh Ravichandran

Anders Lansner

Pawel Herman

2023/7/17

A memristor-based learning engine for synaptic trace-based online learning

IEEE Transactions on Biomedical Circuits and Systems

Deyu Wang

Jiawei Xu

Feng Li

Lianhao Zhang

Chengwei Cao

...

2023/6/30

Benchmarking Hebbian learning rules for associative memory

arXiv preprint arXiv:2401.00335

Anders Lansner

Naresh B Ravichandran

Pawel Herman

2023/12/30

Spiking neural networks with Hebbian plasticity for unsupervised representation learning

arXiv preprint arXiv:2305.03866

Naresh Ravichandran

Anders Lansner

Pawel Herman

2023/5/5

Fast Hebbian plasticity and working memory

Anders Lansner

Florian Fiebig

Pawel Herman

2023/12/1

Hebbian fast plasticity and working memory

Anders Lansner

Florian Fiebig

Pawel Herman

2023/4/13

Cluster Synchronization as a Mechanism of Free Recall in Working Memory Networks

IEEE Open Journal of Control Systems

Matin Jafarian

David Chávez Huerta

Gianluca Villani

Anders Lansner

Karl H Johansson

2023/10/30

Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve

Patrícia Pereira

Anders Lansner

Pawel Herman

2022/7/18

Traces of Semantization, from Episodic to Semantic Memory in a Spiking Cortical Network Model

eNeuro

Nikolas Chrysantidis

Florian Fiebig

Anders Lansner

Pawel Herman

2022/7/8

Memristor-based in-circuit computation for trace-based STDP

Deyu Wang

Jiawei Xu

Feng Li

Lianhao Zhang

Yuning Wang

...

2022/6/13

CORtEX 2022 Invited Speaker 2: Brain-like machine learning using BCPNN

Anders Lansner

2022/5/30

StreamBrain: An HPC DSL for Brain-like Neural Networks on Heterogeneous Systems

Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, Online

Artur Podobas

Martin Svedin

SW Chien

Ivy B Peng

Naresh Balaji Ravichandran

...

2021/6

Mapping the BCPNN learning rule to a memristor model

Frontiers in Neuroscience

Deyu Wang

Jiawei Xu

Dimitrios Stathis

Lianhao Zhang

Feng Li

...

2021/12/9

Approximate computation of post-synaptic spikes reduces bandwidth to synaptic storage in a model of cortex

Dimitrios Stathis

Yu Yang

Ahmed Hemani

Anders Lansner

2021/2/1

Brain-like approaches to unsupervised learning of hidden representations-a comparative study

Naresh Balaji Ravichandran

Anders Lansner

Pawel Herman

2021/9/7

Semi-supervised learning with bayesian confidence propagation neural network

Naresh Balaji Ravichandran

Anders Lansner

Pawel Herman

2021/6/29

Streambrain: an hpc framework for brain-like neural networks on cpus, gpus and fpgas

Artur Podobas

Martin Svedin

Steven WD Chien

Ivy B Peng

Naresh Balaji Ravichandran

...

2021/6/21

See List of Professors in Anders Lansner University(Kungliga Tekniska högskolan)

Co-Authors

H-index: 113
Sten Grillner

Sten Grillner

Karolinska Institutet

H-index: 59
Jesper Tegnér

Jesper Tegnér

King Abdullah University of Science and Technology

H-index: 40
Anders Sandberg

Anders Sandberg

University of Oxford

H-index: 33
Jeanette Hellgren Kotaleski

Jeanette Hellgren Kotaleski

Kungliga Tekniska högskolan

H-index: 31
Örjan Ekeberg

Örjan Ekeberg

Kungliga Tekniska högskolan

H-index: 25
Erik Fransen

Erik Fransen

Kungliga Tekniska högskolan

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