Alternatives and similar repositories for neuroaid:

Users that are interested in neuroaid are comparing it to the libraries listed below

• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆52Updated 2 months ago
• neuromatch / NeuroAI_Course
  ☆76Updated last week
• 8erberg / NeuroAI_Trainee_Resources
  ☆68Updated last week
• netneurolab / conn2res
  A reservoir computing toolbox for neuroscientists
  ☆91Updated 2 months ago
• francesco-innocenti / Neuro_AI_Papers
  A curated repository of Neuro-AI papers.
  ☆40Updated 3 years ago
• comob-project / snn-sound-localization
  Training spiking neural networks for sound localization
  ☆65Updated 3 weeks ago
• snel-repo / neural-data-transformers
  ☆74Updated 2 years ago
• snel-repo / ComputationThroughDynamicsBenchmark
  ☆17Updated last week
• RobertRosenbaum / ModelingNeuralCircuits
  Code to accompany the textbook "Modeling Neural Circuits Made Simple"
  ☆141Updated 7 months ago
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆59Updated 7 months ago
• neuro-galaxy / poyo
  Official Implementation of POYO-1 https://poyo-brain.github.io/
  ☆59Updated 11 months ago
• ShanechiLab / torchDFINE
  ☆28Updated 11 months ago
• atonkamanda / awesome-ai-brain-computer-interface
  Must-read papers on machine learning, deep learning, reinforcement learning and other learning methods for brain-computer interfaces.
  ☆82Updated 3 months ago
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆32Updated 10 months ago
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆50Updated 3 months ago
• davindicode / cosyne-2023-generative-models
  Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.
  ☆39Updated last year
• RatInABox-Lab / RatInABox
  A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.
  ☆206Updated last week
• Dynamics-of-Neural-Systems-Lab / MARBLE
  Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…
  ☆41Updated last week
• gyyang / nn-brain
  Tutorial codes for modeling brains with neural nets
  ☆215Updated 3 years ago
• nmasse / Short-term-plasticity-RNN
  Short-term plasticity RNN models in Tensorflow
  ☆34Updated 5 years ago
• qihongl / learn-hippo
  Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife
  ☆40Updated 3 years ago
• neural-reckoning / cosyne-tutorial-2022
  Cosyne workshop tutorial 2022
  ☆112Updated 2 years ago
• SainsburyWellcomeCentre / NeuralPlayground
  The standardised environment for the hippocampus and entorhinal cortex models
  ☆68Updated 2 weeks ago
• ShanechiLab / DPAD
  ☆46Updated 3 months ago
• kstach01 / CogModelingRNNsTutorial
  ☆48Updated 10 months ago
• schultzlab / Neural_Manifolds
  A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…
  ☆25Updated last year
• dtyulman / hebbff
  Meta-learning local synaptic plasticity for continual familiarity detection
  ☆16Updated 2 years ago
• OlivierCodol / MotorNet
  A package to train neural networks to perform various motor tasks
  ☆61Updated last week
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆16Updated last month
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆52Updated 4 years ago