Comments (1)
mewmew
commented on May 28, 2024
Review took 3 hours.
From #1 (comment):
They managed to create artificial synapses using resistors with microprocessors to store and update the resistive properties over time. Using these they managed to show experimentally the formation of associative memory, as the firing of two previously uncorrelated synapses became correlated after firing together. They also go on the mention the underlying rule behind how associative memory is believed to be formed, namely the Hebbian rule stating
"Neurons that fire together, wire together"
from associative_memory.
Related Issues (20)
- review: Yoshizawa, Shuji, Masahiko Morita, and Shun-Ichi Amari. "Capacity of associative memory using a nonmonotonic neuron model." Neural Networks 6.2 (1993): 167-176. HOT 1
- review: AHaH Computing–From Metastable Switches to Attractors to Machine Learning HOT 1
- report: Introduction
- report: Introduction, Aim and Objectives
- report: Introduction, Hebbian Learning
- report: Models of Associative Memory
- report: Models of Associative Memory, Hopfield Network
- report: Models of Associative Memory, Boltzmann Machine
- report: Models of Associative Memory, Memory Resistor
- report: Current Capabilities
- report: Current Capabilities, Hopfield Network
- report: Current Capabilities, Boltzmann Machine
- report: Current Capabilities, Memory Resistor
- report: Future Potential
- report: Future Potential, Intelligent Systems
- report: Future Potential, Energy Efficiency
- report: Conclusion
- report: Abstract
- review: Knowm
- review: Numenta, NuPIC
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from associative_memory.