Hasselmonians
hasselmonians
Hasselmo Lab code
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MATLAB Package for Neural Data
Matlab code for egocentric boundary cell identification in freely behaving animals
Classification using UMAP and kmeans
Probability densities for exponentially-modified gaussian distributions
Running speed modulation of local field potential frequency/amplitude/etc
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35Code for Jiang, Hijazi et al., Cell Reports, 2025
Matlab code for egocentric boundary cell identification in freely behaving animals
MATLAB Package for Neural Data
Classification using UMAP and kmeans
Code for LaChance and Hasselmo, 2024
Code for Robinson et al., 2024
Running speed modulation of local field potential frequency/amplitude/etc
An improved method for examining neural single unit rhythmicity using maxmimun likelihood estimation for a parametric distribution of lags.
Probability densities for exponentially-modified gaussian distributions
No description provided.
PoInt Process Neuron
A simple jupyter notebook to test the undergrads' programming skills.
Behavioral + electrophysiology analyses in python
Estimate optimal bandwidth parameter for spike train smoothing using MLE leave-one-out cross-validation.
No description provided.
A general tool for passing data to the cluster
WIP ui for the 3D tracking pipeline
An algorithm that facilitates cell counting via NIH ImageJ software
Produces a model of the relationship between an extrinisic observable signal and an intrinsic covarying spike train
No description provided.
find conductance-based models that satisfy exponential decay in firing rate
determining whether firing rate is modulated by light/dark conditions
Estimate the bandwidth parameter for smoothing spike-train data.
Code implements the LN model used to describe spike trains of MEC neurons based on the animal's position, head direction, speed, and theta phase information. Used in Hardcastle et al., 2017.
Exploring the parameter spaces of neural models
No description provided.
Implementation of the pass index technique for looking at open-field phase precession.
fundamental algorithm of neocortical function -- no big deal
Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)
No description provided.