https://github.com/erickorsi/lernmatrix-learner
Lernmatrix structure for conditional learning and recall, based on human hippocampus' associative memory.
https://github.com/erickorsi/lernmatrix-learner
Last synced: 5 months ago
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Lernmatrix structure for conditional learning and recall, based on human hippocampus' associative memory.
- Host: GitHub
- URL: https://github.com/erickorsi/lernmatrix-learner
- Owner: erickorsi
- Created: 2022-09-06T14:22:59.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2022-09-17T03:04:31.000Z (almost 4 years ago)
- Last Synced: 2025-12-28T11:39:04.226Z (6 months ago)
- Language: Python
- Homepage:
- Size: 39.1 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
Lernmatrix structure for conditional learning and recall, with application in supervised classification.
# Installation
```
pip3 install lernmatrix-learner
```
## From source code
```
git clone https://github.com/erickorsi/lernmatrix-learner
```
## Use
```python
from lernmatrix import Lernmatrix
```
---
# The Lernmatrix
The Steinbuch Lernmatrix is a mathematical model and early artificial neural network created by Karl Steinbuch around 1960 for simulating associative memory. This model has many parallels with the auto-associative memory of the human hippocampus, in a simplified manner.
## Use options
* Binary inputs
* Real-valued inputs
* Auto-association