Alternatives and similar repositories for CODE_TSAO_PNAS:

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

• libilab / PCN-with-Global-Recurrent-Processing
  Code for "Deep predictive coding network for object recognition"
  ☆25Updated 4 years ago
• kreimanlab / VisualSearchZeroShot
  Zero-shot Invariant and Efficient Visual Search
  ☆32Updated last month
• ganguli-lab / RetinalResources
  Code for "A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs", ICLR 2019
  ☆48Updated 6 years ago
• arvoelke / nengolib
  Nengo library of additional extensions
  ☆29Updated last year
• sinzlab / neural_cotraining
  The code for performing MTL on object recognition with neural data
  ☆15Updated 3 years ago
• neuroailab / tnn
  Biologically-realistic recurrent convolutional neural networks
  ☆97Updated last year
• neuroailab / Neural-Alignment
  ☆24Updated 4 years ago
• neuroailab / unsup_vvs
  Unsupervised deep convolutional neural network model for the ventral visual stream.
  ☆26Updated last year
• ilennaj / ktree
  Polished code for "Can a single neuron solve MNIST? The computational power of biological dendritic trees”
  ☆46Updated 4 years ago
• madvn / CTRNN
  Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)
  ☆41Updated 3 years ago
• conorheins / bayesian-mechanics-sdes
  ☆13Updated 2 years ago
• BerenMillidge / Predictive_Coding_Papers
  A repository collating interesting and/or influential predictive coding papers
  ☆66Updated 3 years ago
• alec-tschantz / predcoding
  A Python Implementation of Predictive Coding (Whittington & Bogacz 2017)
  ☆15Updated 4 years ago
• libilab / PCN-with-Local-Recurrent-Processing
  Code for "Deep predictive coding network with local recurrent processing for object recognition"
  ☆28Updated 5 months ago
• ShahabBakht / ventral-dorsal-model
  ☆22Updated 2 years ago
• zcrwind / PredNet_pytorch
  A pytorch reimplement of PredNet, which is a deep recurrent convolutional neural network for video prediction and unsupervised learning.
  ☆29Updated 5 years ago
• kumar-shridhar / ProbAct-Probabilistic-Activation-Function
  Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.
  ☆12Updated 5 years ago
• fonsc / predictive-coding
  Research of a deep predictive coding model for unsupervised representation learning from video and audio data.
  ☆29Updated 5 years ago
• IGITUGraz / L2L
  Learning to Learn: Gradient-free Optimization framework
  ☆36Updated 3 years ago
• ThomasMiconi / BiologicallyPlausibleLearningRNN
  Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017
  ☆35Updated 5 years ago
• BrainDynamicsUSYD / BrainVortexToolbox
  ☆21Updated last year
• sinzlab / nnfabrik
  A generalized model fitting pipeline that houses models, trainers, and datasets in datajoint and returns as well as stores trained models…
  ☆18Updated 9 months ago
• lyprince / hierarchical_lfads
  Pytorch implementation of lfads, and hierarchical extension
  ☆26Updated 3 years ago
• ganguli-lab / grid-pattern-formation
  repository for grid cell network code
  ☆59Updated 2 years ago
• spencerkent / resonator-networks
  An implementation of Resonator Networks
  ☆19Updated 4 years ago
• WellyZhang / PrAE
  Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
  ☆26Updated 3 years ago
• ariaaay / NeuralTaskonomy
  Inferring the Similarity of Task-Derived Representations from Brain Activity
  ☆16Updated 2 years ago
• MouseLand / stringer-pachitariu-et-al-2018b
  Responses of 10,000 neurons to 2,800 natural images
  ☆68Updated 5 years ago
• clbaker / BToM
  ☆31Updated 7 years ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆48Updated 8 years ago