rctn / sparsecoding

Related projects ⓘ

Alternatives and complementary repositories for sparsecoding

• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆125Updated 3 months ago
• BerenMillidge / Predictive_Coding_Papers
  A repository collating interesting and/or influential predictive coding papers
  ☆57Updated 3 years ago
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆56Updated 3 months ago
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆16Updated 2 years ago
• ganguli-lab / grid-pattern-formation
  repository for grid cell network code
  ☆51Updated last year
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆83Updated 3 weeks ago
• dtyulman / hebbff
  Meta-learning local synaptic plasticity for continual familiarity detection
  ☆15Updated 2 years ago
• sompolinsky-lab / dnn-object-manifolds
  ☆46Updated 3 years 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
• sinzlab / sensorium
  Code base for the SENSORIUM competition.
  ☆60Updated 3 months ago
• neuro-galaxy / poyo
  Official Implementation of POYO-1 https://poyo-brain.github.io/
  ☆47Updated 8 months ago
• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆87Updated 3 months ago
• fmastrogiuseppe / LowRank
  Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…
  ☆32Updated 6 years ago
• zhd96 / pi-vae
  Poisson Identifiable VAE (pi-VAE)
  ☆49Updated 3 years ago
• AdaptiveMotorControlLab / cebra-figures
  Figures, tables and stats for Schneider, Lee and Mathis 2022: Learnable latent embeddings for joint behavioral and neural analysis.
  ☆17Updated last year
• neuroailab / convrnns
  ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks
  ☆28Updated last year
• francesco-innocenti / Neuro_AI_Papers
  A curated repository of Neuro-AI papers.
  ☆38Updated 2 years ago
• tachukao / mgplvm-pytorch
  ☆24Updated last year
• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆45Updated 2 weeks ago
• snel-repo / neural-data-transformers
  ☆70Updated 2 years ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆12Updated this week
• brain-score / vision
  A framework for evaluating models on their alignment to brain and behavioral measurements (50+ benchmarks)
  ☆126Updated this week
• bryanlimy / V1T
  Code for "V1T: Large-scale mouse V1 response prediction using a Vision Transformer"
  ☆20Updated 4 months ago
• ShanechiLab / torchDFINE
  ☆28Updated 8 months ago
• sacadena / Cadena2019PlosCB
  Code for Cadena, S. A, et al. (2019). Deep convolutional models improve predictions of macaque V1 responses to natural images. Plos Compu…
  ☆15Updated 5 years ago
• ckarageorgkaneen / neuroaid
  Papers and other material for getting started with Neuro-AI!
  ☆43Updated last year
• cvai-roig-lab / Net2Brain
  ☆71Updated this week
• ShahabBakht / ventral-dorsal-model
  ☆20Updated 2 years ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆49Updated 3 years ago
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆19Updated last year