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Emergent is a software package that uses the AdEx neural dynamics model andLEABRA learning algorithm to simulate and train arbitrary recurrent neuralnetwork architectures in a biologically-realistic manner. We present Leabra7, acomplementary Python library that implements these same algorithms. Leabra7 isdeveloped and distributed using modern software development principles, andintegrates tightly with Python's scientific stack. We demonstrate recurrentLeabra7 networks using traditional pattern-association tasks and a standardmachine learning task, classifying the IRIS dataset.

Leabra7: a Python package for modeling recurrent, biologically-realistic neural networks