Dan F. M. Goodman
Cognitive Neuroscience · 2013–2020
A researcher in the Science corpus: 5 papers; trusts 8 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 21 citations into it; #6,490 of 10,852 by trust here, #4,925 by citations
- Artificial Intelligence — 17 citations into it; #14,860 of 35,345 by trust here, #18,586 by citations
- Cellular and Molecular Neuroscience — 16 citations into it
- Electrical and Electronic Engineering — 16 citations into it
- Hardware and Architecture — 5 citations into it
Whom Dan F. M. Goodman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Dan F. M. Goodman overall
- David P. Reichert
- Marcel Stimberg
- Kristofor D. Carlson
- Krzysztof J. Gorgolewski
- Trevor Bekolay
- Thomas Serre
- Marius Pachitariu
- Romain Brette
- Nicholas A. Steinmetz
- Jayram Moorkanikara Nageswaran
Papers from Dan F. M. Goodman's perspective
Ordered by how strongly the researchers Dan F. M. Goodman trusts endorse each paper. Same corpus, a different order for every researcher.
- Similar network activity from disparate circuit parameters (Nature Neuroscience)
- Model-Based Clustering, Discriminant Analysis, and Density Estimation
- A million spiking-neuron integrated circuit with a scalable communication network and interface
- Wiring specificity in the direction-selectivity circuit of the retina (Nature)
- Large-scale recording of neuronal ensembles (Nature Neuroscience)
- High-dimensional cluster analysis with the Masked EM Algorithm (Neural Computation)
- GPU Computing
- A Survey of Techniques for Approximate Computing (ACM Computing Surveys)
- Model-based clustering of high-dimensional data: A review (Computational Statistics & Data Analysis)
- The SpiNNaker Project (Proceedings of the IEEE)
Their papers
- High-dimensional cluster analysis with the Masked EM Algorithm (2013) — 307 citations
- Spike sorting for large, dense electrode arrays (2015) — 788 citations
- Neural heterogeneity promotes robust learning (2020) — 298 citations
- Brian 2: an intuitive and efficient neural simulator (2019) — 538 citations
- Brian simulator (2013) — 501 citations