Simulations concerning the Hippocampal CA3 network

Hippocampus simulation

Code for analysis on data from Jadhav et al. 2016

This small graphical user interface helps to map the anatomical borders of dentate gyrus in an imaged volume onto morphologies that had been reconstructed in that volume.

Code for the paper "A hippocampal model for behavioral time acquisition and fast bidirectional replay of spatio-temporal memory sequences"

Muscial Hippocampus

Partial analyses to accompany "Uncovering temporal structure in hippocampal output patterns".

Hippocampal transcriptomic responses to enzyme‐mediated cellular dissociation

Deep spectral-based shape features for Alzheimer’s Disease classification

Spatial memory in health and disease: Hippocampal stability deficits in the Df(16)A+/- mouse model of schizophrenia

This detailed and robust compartmental model accompanies the manuscript Beining et al (2017): T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells. eLife

[Software for Master's thesis] ∘ Real-time signal detection for closed-loop, in-vivo neuroscience

Scripts for reproducing the figures of Hippocampal-Prefrontal Interactions during Spatial Decision-Making, Tavares & Tort 2020.

Application of AI in 3D Medical Imaging in quantifying Alzheimer's disease progression through automated measurement of hippocampal volume

State space models for categorization of replay content from multiunit spiking activity. Deng et al. 2016

Built an end-to-end AI system which features a deep learning algorithm that integrates into a clinical-grade viewer and automatically measures hippocampal volumes of new patients, as their studies are committed to the clinical imaging archive.

In this project I develop a deep learning CNN model to predict Alzheimer's disease using 3D MRI medical images of the Hippocampus region of the brain.

hippocampus volume quantification