Mc Culloch-Pitts Neuron Model

GPTKB entity

Statements (58)
Predicate Object
gptkbp:instance_of gptkb:microprocessor
gptkbp:bfsLayer 5
gptkbp:bfsParent gptkb:M._A._Mc_Culloch
gptkbp:allows assumes binary inputs and outputs
does not account for biological complexity
gptkbp:based_on binary threshold logic
gptkbp:can_be logical functions
gptkbp:can_be_extended_by more complex models
gptkbp:consists_of gptkb:microprocessor
connections
gptkbp:developed_by gptkb:Walter_Pitts
gptkb:Warren_Mc_Culloch
gptkbp:has_programs image processing
signal processing
pattern recognition
https://www.w3.org/2000/01/rdf-schema#label Mc Culloch-Pitts Neuron Model
gptkbp:influenced_by Boolean algebra
gptkbp:input_output binary values
gptkbp:introduced 1943
gptkbp:is_a gptkb:Model
gptkbp:is_considered_as one of the first models of computation
gptkbp:is_described_as a simplified representation of a neuron
gptkbp:is_explored_in gptkb:philosophy_of_mind
neuroscience research
mathematics research
computer science research
philosophy of artificial intelligence
philosophy of cognitive science
gptkbp:is_fundamental_to gptkb:microprocessor
gptkbp:is_influential_in cognitive science
artificial life
gptkbp:is_part_of theoretical computer science
theoretical neuroscience
theoretical psychology
the history of artificial intelligence
the history of neural networks
the foundation of AI research
the foundation of cognitive modeling
the foundation of neural computation
gptkbp:is_related_to gptkb:perceptron
information theory
Turing machines
computational models
activation functions
neural computation
logical circuits
gptkbp:is_used_in gptkb:software_framework
gptkbp:is_used_to simulate neural activity
enhance machine learning techniques
analyze decision making
create algorithms
develop AI systems
improve neural network architectures
model learning processes
study artificial intelligence
understand cognition
gptkbp:used_in gptkb:Artificial_Intelligence
computational neuroscience