Michael H. Herzog

Cognitive Neuroscience · 2006–2019

A researcher in the Science corpus: 8 papers; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 38 citations into it; #6,463 of 10,852 by trust here, #6,902 by citations
• Cellular and Molecular Neuroscience — 26 citations into it
• Electrical and Electronic Engineering — 10 citations into it
• Neuroscience — 10 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Artificial Intelligence — 5 citations into it
• Cognitive Science & Psychology — 5 citations into it

Whom Michael H. Herzog trusts overall

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

1. Marcus K. Benna
2. Stefano Fusi
3. Richard G. M. Morris
4. Lorric Ziegler
5. Claudia Clopath
6. Wolfram Schultz
7. U. Frey
8. Christos Kaplanis
9. Phillip Good
10. Adam B. Barrett

Who trusts Michael H. Herzog overall

1. Pascal Leimer
2. Nicolas Frémaux
3. Wulfram Gerstner
4. Walter Senn

Papers from Michael H. Herzog's perspective

Ordered by how strongly the researchers Michael H. Herzog 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. State Based Model of Long-Term Potentiation and Synaptic Tagging and Capture
3. Making memories last: the synaptic tagging and capture hypothesis
4. Overcoming catastrophic forgetting in neural networks
5. Late-associativity, synaptic tagging, and the role of dopamine during LTP and LTD.
6. Continual Learning Through Synaptic Intelligence
7. Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory.
8. Cascade models of synaptically stored memories.
9. Catastrophic forgetting in connectionist networks.
10. Continual Reinforcement Learning with Complex Synapses

Their papers

• An overview of quantitative approaches in Gestalt perception. (2016) — 72 citations
• Synaptic weight decay with selective consolidation enables fast learning without catastrophic forgetting (2019) — 12 citations
• Deleterious effects of roving on learned tasks. (2014) — 9 citations
• Perceptual learning, roving and the unsupervised bias. (2012) — 33 citations
• Perceptual learning and roving: Stimulus types and overlapping neural populations. (2009) — 37 citations
• Report Human Perceptual Learning by Mental Imagery (2009) — 98 citations
• Perceptual learning of bisection stimuli under roving: slow and largely specific. (2008) — 33 citations
• Perceptual learning with spatial uncertainties. (2006) — 41 citations