Mc Culloch-Pitts neuron model
GPTKB entity
Statements (106)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:neural_networks
|
gptkbp:based_on |
Boolean logic
logical functions |
gptkbp:can |
logical functions
|
gptkbp:consists_of |
binary threshold units
|
gptkbp:describes |
simplified representation of a neuron
binary neurons |
gptkbp:developed_by |
gptkb:Walter_Pitts
gptkb:Warren_Mc_Culloch |
gptkbp:has_applications_in |
gptkb:machine_learning
pattern recognition neural computation |
gptkbp:has_limitations |
dynamic systems
linear separability lack of learning capability |
https://www.w3.org/2000/01/rdf-schema#label |
Mc Culloch-Pitts neuron model
|
gptkbp:influenced_by |
Boolean algebra
neuroscience |
gptkbp:introduced_in |
1943
|
gptkbp:is_a |
gptkb:Model
|
gptkbp:is_applied_in |
cognitive science
data mining social robotics |
gptkbp:is_compared_to |
biological neurons
|
gptkbp:is_considered_as |
early model of computation
foundational concept precursor to modern neural networks theoretical foundation for AI |
gptkbp:is_criticized_for |
lack of biological realism
oversimplification of neurons |
gptkbp:is_described_as |
cybernetics
|
gptkbp:is_explored_in |
gptkb:philosophy_of_mind
computational biology neural computation machine consciousness machine learning theory artificial intelligence ethics |
gptkbp:is_fundamental_to |
gptkb:neural_networks
artificial neural networks |
gptkbp:is_influenced_by |
Boolean algebra
information theory biological systems cybernetics information processing |
gptkbp:is_part_of |
theoretical computer science
computational models machine learning frameworks cognitive architectures history of artificial intelligence history of neural networks |
gptkbp:is_related_to |
gptkb:Brain
gptkb:neural_networks gptkb:perceptron deep learning Turing machines Boolean functions logic gates threshold logic connectionism symbolic AI artificial life forms |
gptkbp:is_simplified_by |
perceptron model
|
gptkbp:is_studied_in |
gptkb:computer_science
gptkb:Mathematics gptkb:psychology human-computer interaction information theory artificial life |
gptkbp:is_used_for |
image processing
decision making pattern recognition |
gptkbp:is_used_in |
gptkb:Control
gptkb:strategy gptkb:machine_learning gptkb:robotics image processing data analysis financial modeling natural language processing time series analysis bioinformatics classification tasks data mining signal processing feature selection optimization problems recommendation systems social network analysis clustering tasks forecasting anomaly detection computational neuroscience regression tasks knowledge discovery neural network training pattern classification |
gptkbp:is_used_to |
analyze algorithms
simulate neural activity |
gptkbp:model |
decision making
cognitive processes |
gptkbp:represents |
gptkb:neural_networks
simple neural networks |
gptkbp:used_in |
gptkb:Artificial_Intelligence
computational neuroscience |
gptkbp:bfsParent |
gptkb:William_C._Mc_Culloch
|
gptkbp:bfsLayer |
4
|