Anders Lansner
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Explore the profile of Anders Lansner including associated specialties, affiliations and a list of published articles.
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58
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1324
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Recent Articles
1.
Ravichandran N, Lansner A, Herman P
Front Neurosci
. 2024 Oct;
18:1439414.
PMID: 39371606
Networks of interconnected neurons communicating through spiking signals offer the bedrock of neural computations. Our brain's spiking neural networks have the computational capacity to achieve complex pattern recognition and cognitive...
2.
Wang D, Yan X, Yang Y, Stathis D, Hemani A, Lansner A, et al.
IEEE Trans Biomed Circuits Syst
. 2024 Aug;
PP.
PMID: 39163180
Associative memory is a cornerstone of cognitive intelligence within the human brain. The Bayesian confidence propagation neural network (BCPNN), a cortex-inspired model with high biological plausibility, has proven effective in...
3.
Lansner A, Fiebig F, Herman P
Curr Opin Neurobiol
. 2023 Nov;
83:102809.
PMID: 37980802
Theories and models of working memory (WM) were at least since the mid-1990s dominated by the persistent activity hypothesis. The past decade has seen rising concerns about the shortcomings of...
4.
Wang D, Xu J, Li F, Zhang L, Cao C, Stathis D, et al.
IEEE Trans Biomed Circuits Syst
. 2023 Jun;
17(5):1153-1165.
PMID: 37390002
The memristor has been extensively used to facilitate the synaptic online learning of brain-inspired spiking neural networks (SNNs). However, the current memristor-based work can not support the widely used yet...
5.
Chrysanthidis N, Fiebig F, Lansner A, Herman P
eNeuro
. 2022 Jul;
PMID: 35803714
Episodic memory is a recollection of past personal experiences associated with particular times and places. This kind of memory is commonly subject to loss of contextual information or" semantization", which...
6.
Wang D, Xu J, Stathis D, Zhang L, Li F, Lansner A, et al.
Front Neurosci
. 2021 Dec;
15:750458.
PMID: 34955716
The Bayesian Confidence Propagation Neural Network (BCPNN) has been implemented in a way that allows mapping to neural and synaptic processes in the human cortexandhas been used extensively in detailed...
7.
Yang Y, Stathis D, Jordao R, Hemani A, Lansner A
Front Neurosci
. 2020 Sep;
14:878.
PMID: 32982673
Simulation of large scale biologically plausible spiking neural networks, e.g., Bayesian Confidence Propagation Neural Network (BCPNN), usually requires high-performance supercomputers with dedicated accelerators, such as GPUs, FPGAs, or even Application-Specific...
8.
Fiebig F, Herman P, Lansner A
eNeuro
. 2020 Mar;
7(2).
PMID: 32127347
Working memory (WM) is a key component of human memory and cognition. Computational models have been used to study the underlying neural mechanisms, but neglected the important role of short-term...
9.
Chrysanthidis N, Fiebig F, Lansner A
J Comput Neurosci
. 2019 Sep;
47(2-3):223-230.
PMID: 31502234
We present an electrophysiological model of double bouquet cells and integrate them into an established cortical columnar microcircuit model that has previously been used as a spiking attractor model for...
10.
Martinez R, Lansner A, Herman P
PLoS One
. 2019 Aug;
14(8):e0220161.
PMID: 31369571
From memorizing a musical tune to navigating a well known route, many of our underlying behaviors have a strong temporal component. While the mechanisms behind the sequential nature of the...