AndrewUlmer / MABe_2022_TVAE

Related projects: ⓘ

• Mishne-Lab / DBE-Disentangled-Behavior-Embedding
  Official Implementation of "Learning Disentangled Behavior Embeddings"
  ☆14Updated 2 years ago
• paninski-lab / deepgraphpose
  DeepGraphPose
  ☆32Updated last year
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆12Updated last year
• willwx / XDream
  gradient-free act max for visual neurons
  ☆48Updated 3 years ago
• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆123Updated last month
• slinderman / recurrent-slds
  Recurrent Switching Linear Dynamical Systems
  ☆94Updated last year
• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆84Updated last month
• fmastrogiuseppe / LowRank
  Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…
  ☆30Updated 6 years ago
• sinzlab / neuralpredictors
  Machine Learning Utils of Sinzlab
  ☆26Updated 2 months ago
• jgraving / selfsne
  Self-Supervised Noise Embeddings (Self-SNE)
  ☆155Updated 3 months ago
• themattinthehatt / behavenet
  Toolbox for analyzing behavioral videos and neural activity
  ☆58Updated 9 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
• dmcnamee / FlexModEHC
  Flexible modulation of sequence generation in the entorhinal-hippocampal system.
  ☆12Updated 2 years ago
• nebw / mabe
  ☆12Updated 2 years ago
• ShahabBakht / ventral-dorsal-model
  ☆20Updated 2 years ago
• schung039 / neural_manifolds_replicaMFT
  ☆67Updated 2 years ago
• zhd96 / pi-vae
  Poisson Identifiable VAE (pi-VAE)
  ☆48Updated 3 years ago
• neuroailab / convrnns
  ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks
  ☆26Updated 10 months 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 2 years ago
• conorheins / bayesian-mechanics-sdes
  ☆13Updated last year
• infer-actively / pypc
  Predictive coding in Python
  ☆61Updated 5 months ago
• AdaptiveMotorControlLab / cebra-figures
  Figures, tables and stats for Schneider, Lee and Mathis 2022: Learnable latent embeddings for joint behavioral and neural analysis.
  ☆17Updated 11 months ago
• lyprince / hierarchical_lfads
  Pytorch implementation of lfads, and hierarchical extension
  ☆26Updated 2 years ago
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆19Updated last year
• nmasse / Short-term-plasticity-RNN
  Short-term plasticity RNN models in Tensorflow
  ☆33Updated 4 years ago
• jazlab / moog.github.io
  Modular Object-Oriented Games (MOOG): Python-based game engine for reinforcement learning, psychology, and neurophysiology.
  ☆33Updated last year
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆55Updated 2 months ago
• tachukao / mgplvm-pytorch
  ☆23Updated last year
• ganguli-lab / grid-pattern-formation
  repository for grid cell network code
  ☆50Updated last year
• sinzlab / sensorium
  Code base for the SENSORIUM competition.
  ☆56Updated last month