Year |
Citation |
Score |
2014 |
Earp BD, Sandberg A, Kahane G, Savulescu J. When is diminishment a form of enhancement? Rethinking the enhancement debate in biomedical ethics. Frontiers in Systems Neuroscience. 8: 12. PMID 24550792 DOI: 10.3389/Fnsys.2014.00012 |
0.333 |
|
2014 |
Schulze S, Malesani D, Cucchiara A, Tanvir NR, Krühler T, De Ugarte Postigo A, Leloudas G, Lyman J, Bersier D, Wiersema K, Perley DA, Schady P, Gorosabel J, Anderson JP, Castro-Tirado AJ, ... ... Sandberg A, et al. GRB 120422A/SN 2012bz: Bridging the gap between low- and high-luminosity gamma-ray bursts Astronomy and Astrophysics. 566. DOI: 10.1051/0004-6361/201423387 |
0.403 |
|
2008 |
Liao SM, Sandberg A. The Normativity of Memory Modification Neuroethics. 1: 85-99. DOI: 10.1007/S12152-008-9009-5 |
0.307 |
|
2003 |
Sandberg A, Tegnér J, Lansner A. A working memory model based on fast Hebbian learning. Network (Bristol, England). 14: 789-802. PMID 14653503 DOI: 10.1088/0954-898X/14/4/309 |
0.588 |
|
2003 |
Lansner A, Fransén E, Sandberg A. Cell assembly dynamics in detailed and abstract attractor models of cortical associative memory Theory in Biosciences. 122: 19-36. DOI: 10.1078/1431-7613-00072 |
0.612 |
|
2002 |
Sandberg A, Lansner A, Petersson KM, Ekeberg O. A Bayesian attractor network with incremental learning. Network (Bristol, England). 13: 179-94. PMID 12061419 DOI: 10.1088/0954-898X/13/2/302 |
0.674 |
|
2002 |
Sandberg A, Lansner A. Synaptic depression as an intrinsic driver of reinstatement dynamics in an attractor network Neurocomputing. 44: 615-622. DOI: 10.1016/S0925-2312(02)00448-4 |
0.592 |
|
2002 |
Johansson C, Sandberg A, Lansner A. Attractor neural networks with hypercolumns Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 192-197. |
0.614 |
|
2001 |
Sandberg A, Lansner A, Petersson KM. Selective enhancement of recall through plasticity modulation in an autoassociative memory Neurocomputing. 38: 867-873. DOI: 10.1016/S0925-2312(01)00363-0 |
0.6 |
|
2000 |
Sandberg A, Lansner A, Petersson KM, Ekeberg O. A palimpsest memory based on an incremental Bayesian learning rule Neurocomputing. 32: 987-994. DOI: 10.1016/S0925-2312(00)00270-8 |
0.678 |
|
1999 |
Djurfeldt M, Sandberg A, Ekeberg O, Lansner A. See - A framework for simulation of biologically detailed and artificial neural networks and systems Neurocomputing. 26: 997-1003. DOI: 10.1016/S0925-2312(99)00096-X |
0.645 |
|
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