David D. McCulloch

GPTKB entity

Properties (54)
Predicate Object
gptkbp:instanceOf person
gptkbp:academicAdvisor professor
gptkbp:affiliation gptkb:University_of_California,_San_Diego
gptkbp:almaMater gptkb:Harvard_University
gptkbp:awards National_Science_Foundation_Grant
gptkbp:birthDate 1911-09-16
gptkbp:birthPlace gptkb:United_States
gptkbp:campusFacilities gptkb:Institute_of_Electrical_and_Electronics_Engineers
gptkbp:collaborations gptkb:Walter_Pitts
gptkbp:concept threshold logic
gptkbp:conference gptkb:Neural_Information_Processing_Systems
gptkbp:contribution theoretical neuroscience
gptkbp:deathDate 1998-11-24
gptkbp:deathPlace gptkb:California
gptkbp:fellowship gptkb:American_Academy_of_Arts_and_Sciences
gptkbp:field neuroscience
gptkbp:fieldOfStudy cognitive science
gptkbp:financialPerformance neuroscience education
https://www.w3.org/2000/01/rdf-schema#label David D. McCulloch
gptkbp:impact development of artificial neural networks
gptkbp:influenced artificial intelligence
gptkbp:influencedBy gptkb:Warren_McCulloch
gptkbp:inspiration biological neural networks
gptkbp:investmentFocus gptkb:Journal_of_Neural_Engineering
gptkbp:involved neurophysiology
gptkbp:knownFor research in neuroscience
gptkbp:legacy foundational work in neural networks
gptkbp:notableAlumni gptkb:McCulloch-Pitts_neuron
gptkbp:occupation biologist
gptkbp:patentDescription A_Logical_Calculus_of_the_Ideas_Immanent_in_Nervous_Activity
gptkbp:publishedBy Neural Networks: A Comprehensive Foundation
gptkbp:publishes The_Organization_of_Behavior
gptkbp:researchAreas machine learning
computational neuroscience
gptkbp:researchContribution biological modeling
neural network models
information processing in the brain
neural circuit theory
gptkbp:researchFocus neural networks
gptkbp:researchInterest 1950
1960
1970
1980
1990
2000
mathematical modeling
empirical research
Biological Cybernetics
neuroscience community
artificial intelligence development
gptkbp:scientificName cognitive neuroscience
neuroscience awards
gptkbp:theory neural computation
computational models of cognition