BIDS App for Hippunfold (automated hippocampal unfolding and subfield segmentation)
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Updated
Jul 10, 2024 - Python
BIDS App for Hippunfold (automated hippocampal unfolding and subfield segmentation)
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
Current code for my hippocampal morphometry workflow, based on the hippodeep_pytorch segmentation program and the SlicerSALT shape analysis software.
A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity.
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation (MICCAI 2021)
AICONSlab's hippocampal segmentation algorithm using CNNs
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.
Python code to analyze data and create figures for the manuscript "Graded Remapping of Hippocampal Ensembles under Sensory Conflicts"
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 Long Tao et al., unpublished.
Base code for NeuroIPS 2023 paper on NMDA activation function on transformers
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.
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.
CA1 model repository
CA1 model repository
Hippocampal segmentation using the UNet network for each axis, inspired by https://github.com/MICLab-Unicamp/e2dhipseg
State space models for categorization of replay content from multiunit spiking activity. Deng et al. 2016
[Software for Master's thesis] ∘ Real-time signal detection for closed-loop, in-vivo neuroscience
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