AI 용어집
인공지능 완전 사전
Brian2
Open-source Python framework for simulating neural systems, offering intuitive syntax to define neuron models and complex connectivity patterns.
NEST
Widely used neural simulator for large-scale networks, optimized for spike simulations on distributed systems with thousands of processors.
BindsNET
PyTorch framework for spiking neural networks, integrating learning through local rules like STDP and enabling fast simulations on GPU.
LAVA
Intel's open-source neuromorphic framework developed for collaborative programming between conventional processors and Loihi neuromorphic accelerators.
PyNN
Standardized Python interface for neural simulators, enabling portable code writing between different backends like NESS, Brian, and NEST.
Neurokernel
Open-source platform for large-scale neural system simulation, using modular architecture for distributed execution on clusters.
Nengo
Framework based on neural encoding theory for building and simulating large-scale neural network models with applications in AI and robotics.
ANNarchy
Hybrid neural simulator generating optimized C++ code from Python descriptions, supporting both continuous and spiking models.
CoreNEURON
Neural simulation engine optimized for high-performance computing, providing significant acceleration for morphologically detailed models on GPU.
GeNN
GPU code generator for spiking neural networks, translating Python descriptions into optimized CUDA for real-time simulations.
CARLsim
GPU-accelerated simulator for large-scale spiking neural networks, integrating complex synaptic plasticity models and robotic interfaces.
Norse
PyTorch library specialized in spiking neural networks, offering efficient implementations of bio-inspired neurons and learning algorithms.
Rockpool
Python framework for the design and training of spiking neural networks on neuromorphic platforms with conversion from conventional deep networks.