emer/leabra
Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)
This project helps cognitive scientists and neuroscience researchers build and simulate biologically realistic neural network models. It takes in neural network architectures and learning parameters to simulate brain-like activity, allowing you to observe how these models learn and process information. The output helps researchers understand cognitive processes like memory and perception at a computational level.
No commits in the last 6 months.
Use this if you are a computational neuroscientist or cognitive scientist developing biologically plausible models of brain function and need a robust simulation environment.
Not ideal if you are looking for a general-purpose deep learning framework for commercial applications or for large-scale, non-biologically constrained AI research.
Stars
92
Forks
23
Language
Go
License
BSD-3-Clause
Category
Last pushed
Aug 08, 2025
Commits (30d)
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