Polished code for "Can a single neuron solve MNIST? The computational power of biological dendritic trees”
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Updated
Sep 5, 2020 - Jupyter Notebook
Polished code for "Can a single neuron solve MNIST? The computational power of biological dendritic trees”
Computational Neuroscience models
Quantum neural network research implementing multi-dimensional neuron representations. Explores theoretical integration of quantum computing principles into neural systems to investigate emergent cognition and consciousness.
Official Repository of the "How to Learn and Represent Abstractions: An Investigation using Symbolic Alchemy" Paper
Artificial Biological Intelligence
Models of Mouse Vision: Self-supervised pre-trained networks and training code (PyTorch)
Code behind the work "Multiple Synaptic Contacts Combined with Dendritic Filtering Enhance Spatio-Temporal Pattern Recognition of Single Neurons", bioRxiv 2022
Implementation of BIMRL: Brain Inspired Meta Reinforcement Learning - Roozbeh Razavi et al. (IROS 2022)
"The Unreasonable Effectiveness of Sparse Dynamic Synapses for Continual Learning" paper project.
ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks
Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".
Code behind the work "Single Cortical Neurons as Deep Artificial Neural Networks", published in Neuron 2021
Actively developed Hierarchical Temporal Memory (HTM) community fork (continuation) of NuPIC. Implementation for C++ and Python
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
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