Pascal Leimer

Cognitive Neuroscience · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 23 citations into it
• Cellular and Molecular Neuroscience — 18 citations into it
• Electrical and Electronic Engineering — 7 citations into it
• Neuroscience — 7 citations into it
• Artificial Intelligence — 5 citations into it

Whom Pascal Leimer trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Marcus K. Benna
2. Stefano Fusi
3. Lorric Ziegler
4. Richard G. M. Morris
5. Michael H. Herzog
6. Claudia Clopath
7. Christos Kaplanis
8. Adam B. Barrett
9. U. Frey
10. Julietta U. Frey

Papers from Pascal Leimer's perspective

Ordered by how strongly the researchers Pascal Leimer trusts endorse each paper. Same corpus, a different order for every researcher.

1. Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression
2. Overcoming catastrophic forgetting in neural networks
3. State Based Model of Long-Term Potentiation and Synaptic Tagging and Capture
4. Making memories last: the synaptic tagging and capture hypothesis
5. Continual Learning Through Synaptic Intelligence
6. Late-associativity, synaptic tagging, and the role of dopamine during LTP and LTD.
7. Synaptic tagging and long-term potentiation
8. Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory.
9. Cascade models of synaptically stored memories.
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Synaptic weight decay with selective consolidation enables fast learning without catastrophic forgetting (2019) — 12 citations