Brian DePasquale
About
Brian DePasquale is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence.
According to data from OpenAlex, Brian DePasquale has authored 11 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 4 papers in Electrical and Electronic Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Brian DePasquale’s work include Neural dynamics and brain function (10 papers), Advanced Memory and Neural Computing (4 papers) and Neural Networks and Reservoir Computing (3 papers). Brian DePasquale is often cited by papers focused on Neural dynamics and brain function (10 papers), Advanced Memory and Neural Computing (4 papers) and Neural Networks and Reservoir Computing (3 papers). Brian DePasquale collaborates with scholars based in United States, Italy and The Netherlands. Brian DePasquale's co-authors include Ann M. Graybiel, Daniel J. Gibson, J Feingold, L. F. Abbott, Raoul-Martin Memmesheimer, Kanaka Rajan, Carlos D. Brody, David W. Tank, Stephan Y. Thiberge and Lucas Pinto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Nature Communications.
In The Last Decade
Co-authorship network of co-authors of Brian DePasquale i
Fields of papers citing papers by Brian DePasquale
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Brian DePasquale. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Brian DePasquale may publish in the future.
Countries citing papers authored by Brian DePasquale
Since SpecializationCitations
This map shows the geographic impact of Brian DePasquale's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Brian DePasquale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian DePasquale more than expected).
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