Neural Network Engineering Platform

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A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. Microthreads are general processing elements that can also represent non-neural elements, such as cell populations, extracellular space, emulating sensory activity, etc.

NeuraNEP handles microthread scheduling, synchronization, distribution and communication.

This project is a fork of SpikeOS ( and represents a major update to that code base, including a scripting interface and low-level rewrite of several components. SpikeOS was oriented towards computational modeling. NeuraNEP is oriented toward neural network research.

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Additional Project Details

Intended Audience

Engineering, Science/Research

User Interface


Programming Language

C, C++, Lua


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