Properties (64)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
neural network model
|
| gptkbp:appliesTo |
artificial intelligence
|
| gptkbp:description |
binary neurons
|
| gptkbp:developedBy |
gptkb:Warren_McCulloch
gptkb:Walter_Pitts |
| gptkbp:hasCitations |
does not model biological neurons accurately
|
| gptkbp:hasRelatedPatent |
control systems
signal processing pattern recognition |
| https://www.w3.org/2000/01/rdf-schema#label |
McCulloh-Pitts neuron model
|
| gptkbp:influencedBy |
Boolean algebra
|
| gptkbp:isA |
mathematical model
simplified model of neuron |
| gptkbp:isBasedOn |
threshold logic
|
| gptkbp:isConsidered |
precursor to modern neural networks
|
| gptkbp:isExploredIn |
gptkb:quantum_computing
computational complexity theory algorithm design cognitive science information theory robotics symbolic computation bioinformatics computational physics data science computational theory graph theory mathematical logic network theory complexity theory statistical mechanics computational chemistry complex systems formal languages numerical analysis chaos theory dynamical systems systems theory automata theory philosophy of mind computational geometry computational biology computational neuroscience computational number theory computational algebra computational topology algorithmic information theory artificial life neuroinformatics machine consciousness philosophy of artificial intelligence |
| gptkbp:isInfluencedBy |
cybernetics
|
| gptkbp:isPartOf |
computational neuroscience
|
| gptkbp:isRelatedTo |
neural computation
perceptron artificial neurons |
| gptkbp:isUsedIn |
machine learning
theoretical studies neural network research |
| gptkbp:mayHave |
AND gate
NOT gate OR gate |
| gptkbp:uses |
logical operations
|
| gptkbp:yearEstablished |
1943
|