Base code for NeuroIPS 2023 paper on NMDA activation function on transformers
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Updated
Sep 21, 2022 - Python
Base code for NeuroIPS 2023 paper on NMDA activation function on transformers
Hippocampal segmentation using the UNet network for each axis, inspired by https://github.com/MICLab-Unicamp/e2dhipseg
Current code for my hippocampal morphometry workflow, based on the hippodeep_pytorch segmentation program and the SlicerSALT shape analysis software.
Simulations concerning the Hippocampal CA3 network
CA1 model repository
Python code to analyze data and create figures for the manuscript "Graded Remapping of Hippocampal Ensembles under Sensory Conflicts"
CA1 model repository
[Software for Master's thesis] ∘ Real-time signal detection for closed-loop, in-vivo neuroscience
An open-source package that offer fully-functional spike-based bio-inspired hippocampal memory models implemented with SNN technology in the SpiNNaker hardware in Python
Pytorch implementation of a G-CNN with a U-Net architecture, using discrete 3D roto-translational equivariant convolutions, to segment the hippocampal subfields on 3D MRIs.
Python script & library to read hippocampal volumes computed by Freesurfer & ASHS
A semi-latent state-space model that combines movement, LFP, and ensemble spiking information to identify periods of replay and decode its content in real time. Long Tao et al., unpublished.
The LCN-HippoModel is a biophysically realistic model of CA1 pyramidal cells aimed to get novel insights on firing dynamics in deep and superficial populations during the theta rhythm.
State space models for categorization of replay content from multiunit spiking activity. Deng et al. 2016
Hippocampal Segmentation Factory (HSF). A one-liner Deep Learning tool to segment raw T2w (and T1w) MRIs into hippocampal subfields in few seconds. Trained on 700+ manually segmented hippocampi.
Deep spectral-based shape features for Alzheimer’s Disease classification
AICONSlab's hippocampal segmentation algorithm using CNNs
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