Gordon Pipa
Cognitive Neuroscience · 2009–2015
A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 61 citations into it; #5,275 of 10,852 by trust here, #3,702 by citations
- Cellular and Molecular Neuroscience — 26 citations into it
- Artificial Intelligence — 11 citations into it; #23,191 of 35,345 by trust here, #19,439 by citations
- Electrical and Electronic Engineering — 7 citations into it
- Statistical and Nonlinear Physics — 5 citations into it
Whom Gordon Pipa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Gordon Pipa overall
Papers from Gordon Pipa's perspective
Ordered by how strongly the researchers Gordon Pipa trusts endorse each paper. Same corpus, a different order for every researcher.
- Dynamics of Ongoing Activity: Explanation of the Large Variability in Evoked Cortical Responses
- Generating Coherent Patterns of Activity from Chaotic Neural Networks
- Rare Neural Correlations Implement Robotic Conditioning with Delayed Rewards and Disturbances
- Measuring information transfer
- Real-Time Computation at the Edge of Chaos in Recurrent Neural Networks (Neural Computation)
- Nonlinear Time Series Analysis
- Dynamic causal modelling
- A mechanism for cognitive dynamics: neuronal communication through neuronal coherence. (Trends in Cognitive Sciences)
- Synchronization as adjustment of information rates: detection from bivariate time series. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- A Mathematical Theory of Communication
Their papers
- RM-SORN: a reward-modulated self-organizing recurrent neural network (2015) — 13 citations
- Transfer entropy—a model-free measure of effective connectivity for the neurosciences (2010) — 1,021 citations
- SORN: A Self-Organizing Recurrent Neural Network (2009) — 90 citations
- Frontiers in Integrative Neuroscience Integrative Neuroscience Neural Synchrony in Cortical Networks: History, Concept and Current Status — 751 citations