Kevin B. Clark

Cognitive Neuroscience · 2013–2023

A researcher in the Science corpus: 4 papers; trusts 35 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 32 citations into it; #8,233 of 10,852 by trust here, #9,185 by citations
• Artificial Intelligence — 17 citations into it
• Atomic and Molecular Physics, and Optics — 11 citations into it
• Cellular and Molecular Neuroscience — 11 citations into it; #2,143 of 2,998 by trust here, #2,821 by citations
• Statistical and Nonlinear Physics — 9 citations into it
• Electrical and Electronic Engineering — 8 citations into it
• Molecular Biology — 8 citations into it
• Social Psychology — 8 citations into it

Whom Kevin B. Clark trusts overall

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

1. Yazhen Wang
2. Charles H. Bennett
3. E. Bullmore
4. Wolfgang Maass
5. Koji Yashiro
6. Olaf Sporns
7. B. Philpot
8. György Buzsáki
9. Gina G. Turrigiano
10. Claude E. Shannon

Who trusts Kevin B. Clark overall

1. Brenden M. Lake
2. T. Kuhar
3. Tomer D. Ullman

Papers from Kevin B. Clark's perspective

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

1. Complex brain networks: graph theoretical analysis of structural and functional systems
2. Rhythms of the brain
3. Age-related changes in modular organization of human brain functional networks (NeuroImage)
4. Variability, compensation and homeostasis in neuron and network function
5. Synaptic modification by correlated activity: Hebb's postulate revisited.
6. The Self-Tuning Neuron: Synaptic Scaling of Excitatory Synapses
7. The organization of behavior: A neuropsychological theory
8. 1 Supplementary Materials for : Emergence of complex computational structures from chaotic neural networks through reward-modulated Hebbian learning
9. Weak pairwise correlations imply strongly correlated network states in a neural population
10. Networks of Spiking Neurons: The Third Generation of Neural Network Models

Their papers

• Basis for a neuronal version of Grover's quantum algorithm (2014) — 17 citations
• Neural Field Continuum Limits and the Structure–Function Partitioning of Cognitive–Emotional Brain Networks (2023) — 791 citations
• Insight and analysis problem solving in microbes to machines. (2015) — 11 citations
• Undecidability and opacity of metacognition in animals and humans (2013) — 9 citations