Alternatives and similar repositories for RatInABox

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

• neurogym / neurogym
  A curated collection of neuroscience tasks with a common interface.
  ☆295Updated last week
• SainsburyWellcomeCentre / NeuralPlayground
  The standardised environment for the hippocampus and entorhinal cortex models
  ☆75Updated last week
• RobertRosenbaum / ModelingNeuralCircuits
  Code to accompany the textbook "Modeling Neural Circuits Made Simple"
  ☆157Updated last year
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆54Updated 4 years ago
• djcrw / generalising-structural-knowledge
  ☆194Updated 2 years ago
• OlivierCodol / MotorNet
  A package to train neural networks to perform various motor tasks
  ☆68Updated 2 weeks ago
• gyyang / nn-brain
  Tutorial codes for modeling brains with neural nets
  ☆234Updated 4 years ago
• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆66Updated 3 weeks ago
• davindicode / cosyne-2023-generative-models
  Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.
  ☆38Updated 2 years ago
• pillowlab / GLMspiketraintutorial_python
  ☆58Updated 3 years ago
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆50Updated 2 years ago
• pyrates-neuroscience / PyRates
  Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…
  ☆83Updated last month
• ganguli-lab / grid-pattern-formation
  repository for grid cell network code
  ☆65Updated 2 years ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆24Updated 5 months ago
• fmastrogiuseppe / LowRank
  Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…
  ☆35Updated 7 years ago
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆63Updated last year
• flatironinstitute / nemos
  NEural MOdelS, a statistical modeling framework for neuroscience.
  ☆103Updated this week
• jbakermans / torch_tem
  Implementation of the Tolman Eichenbaum Machine in pytorch
  ☆158Updated 3 years ago
• pynapple-org / pynapple
  PYthon Neural Analysis Package
  ☆320Updated last week
• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆100Updated last year
• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆140Updated last year
• jbakermans / state-space-composition
  Models and simulations for state space composition
  ☆23Updated 9 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…
  ☆28Updated last year
• TuragaLab / flyvis
  A connectome-constrained deep mechanistic network (DMN) model of the fruit fly visual system in PyTorch.
  ☆68Updated last week
• ckaraneen / neuroaid
  Papers and other material for getting started with Neuro-AI!
  ☆53Updated 2 years ago
• MouseLand / rastermap
  a visualization method for neural data
  ☆236Updated 5 months ago
• slinderman / stats320
  STATS320: Statistical Methods for Neural Data Analysis
  ☆198Updated 3 months ago
• comob-project / snn-sound-localization
  Training spiking neural networks for sound localization
  ☆66Updated 3 months ago
• xjwanglab / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆38Updated 9 years ago
• snel-repo / neural-data-transformers
  ☆81Updated 3 years ago