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Glossario IA

Il dizionario completo dell'Intelligenza Artificiale

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Brian2

Open-source Python framework for simulating neural systems, offering intuitive syntax to define neuron models and complex connectivity patterns.

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NEST

Widely used neural simulator for large-scale networks, optimized for spike simulations on distributed systems with thousands of processors.

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BindsNET

PyTorch framework for spiking neural networks, integrating learning through local rules like STDP and enabling fast simulations on GPU.

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LAVA

Intel's open-source neuromorphic framework developed for collaborative programming between conventional processors and Loihi neuromorphic accelerators.

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PyNN

Standardized Python interface for neural simulators, enabling portable code writing between different backends like NESS, Brian, and NEST.

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Neurokernel

Open-source platform for large-scale neural system simulation, using modular architecture for distributed execution on clusters.

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Nengo

Framework based on neural encoding theory for building and simulating large-scale neural network models with applications in AI and robotics.

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ANNarchy

Hybrid neural simulator generating optimized C++ code from Python descriptions, supporting both continuous and spiking models.

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CoreNEURON

Neural simulation engine optimized for high-performance computing, providing significant acceleration for morphologically detailed models on GPU.

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GeNN

GPU code generator for spiking neural networks, translating Python descriptions into optimized CUDA for real-time simulations.

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CARLsim

GPU-accelerated simulator for large-scale spiking neural networks, integrating complex synaptic plasticity models and robotic interfaces.

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Norse

PyTorch library specialized in spiking neural networks, offering efficient implementations of bio-inspired neurons and learning algorithms.

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Rockpool

Python framework for the design and training of spiking neural networks on neuromorphic platforms with conversion from conventional deep networks.

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