Basic SNN propogating spikes between LIF neurons
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Updated
Aug 28, 2018 - Jupyter Notebook
Basic SNN propogating spikes between LIF neurons
Alternative FLIM fitting/phasor analysis for FLIM files
ImageJ / Fiji macro to automatically export Leica LIF file as individual images (batch mode available)
JSON parsers and models for the VDMA - LIF (Layout Interchange Format), which is used for defining track layouts and exchanging information between the integrator of driverless transport vehicles and a third-party master control system.
Neuromorphic event-driven simulator in C and MPI (successor of NeMo https://github.com/markplagge/NeMo)
SPINE is a simple Spiking Neuron simulator
LIFReader provides a streamlined way to understand and work with AGV systems. Whether you're an integrator, system designer, or researcher, LIFReader offers a valuable toolkit for navigating the world of automated vehicle layouts.
This program creates a network of n LIF neurons coupled by electrical synapses.
显微图像统一视野裁剪工具:把 20×/40×/100× 拍的 OIB / CZI / LIF / TIFF 按同一物理视野(µm)裁成小图,统一标尺与通道配色,导出彩图 + 原始位深。Uniform-field-of-view cropper for confocal microscopy images.
Three-stage Drosophila connectome project: graph/motif explorer, in-silico optogenetics & escape SNN, virtual LFP synthesis
No CUDA required. Open-source Python connectome simulation SDK: CPU LIF runtime, game APIs, checkpoints, and on-demand MaleCNS/FlyWire data.
Browser game driven by real whole-brain connectomes (FlyWire 139k / MaleCNS 176k neurons, LIF) + technical note on connectome-packaging pitfalls (matched controls, weight schemes) 电子果蝇:连接组驱动的浏览器游戏与中文知识库
5,145 个真实神经元(MaleCNS v1.0 连接组)组成的逼近逃逸反射,1 kHz 跑在你的浏览器里。用手逼近它——太慢就会被拍中。
The whole male Drosophila CNS connectome (166,700 neurons) used uncut as the spiking core of a language model. Scope, numbers, honest controls, pipeline animation.
Python GUI microscopy file converter for ICS2, IMS, LIF, ND2, ZVI, TIFF, OME-TIFF and OME-Zarr bioimaging datasets.
Java Implementation with readPatternFromFile method that animates any "%.LIF" file passed into the program
example for the library SNN (reservoir computing based on Spiking Neural Networks (SNNs))
Artificial Spiking Neural Networks, Spike-Timing Dependent Plasticity, Hebbian Plasticity, Closed-Loop Stimulation, Stimulation-Induced Plasticity, Computational Neuroscience
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