spikeai Goto Github PK

2019-03-25_hdr_robinbaures

Efficient coding and neural data

2019-07-15_cns

2019-10-10_ml-tutorial

A tutorial introducing Deep Learning for vision science

2020-12_brainhack_project7

Optimized Pipeline for the modelling of Spiking Neural Networks (SNNs)

2020_pytorch-msssim_obsolete

PyTorch differentiable Multi-Scale Structural Similarity (MS-SSIM) loss

2022-09_ultrafastcat

Ultrafast image categorization in biology and neural models

2022-11_brainhack_detecspikmotifs

2022-11_brainhack_DetecSpikMotifs: Automatic detection of spiking motifs in neurobiological data. This project aims to develop a method for the automated detection of repeating spiking motifs, possibly noisy, in ongoing activity.

2022_polychronies-review

Review on temporal spiking motifs in neurobiological and neuromorphic data

2023-12-31_la-camera-neuromorphique

Un article de dissémination sur les caméras "neuromorphiques"

2023_grimaldiperrinet_heterogeneousdelaysnn

Learning heterogeneous delays in a layer of spiking neurons for fast motion detection - Grimaldi Perrinet (2023)

2024_time-to-contact-maps

Time-to-contact map by joint estimation of up-to-scale inverse depth and global motion using a single event camera

hots

Python implementation of HOTS: Hierarchy Of event-based Time-Surface for pattern recognition

hulk

Homeostatic, Unsupervised Learning of Kernels

pynn

A Python package for simulator-independent specification of neuronal network models.

reproducing-polychronization

retinawarp

Tensorflow implementation of fisheye transformation, mimicking the spatial sampling properties in the primate retina

sciblog

snntorch

Deep and online learning with spiking neural networks in Python

spikeai.github.io

source for the SpikeAI.github.io pages

tonic

event data sets and transformations

visuallatencies