ArdeleanRichard

Autoencoders-in-Spike-Sorting

A study of how autoencoders fare in the domain of Spike Sorting. Various autoencoder architectures have been tested.

Space-Breakdown-Method

Space Breakdown Method (SBM) is a clustering algorithm developed for Spike Sorting handling overlapping and imbalanced data. Improved Space Breakdown Method (ISBM) is the updated and improved version of SBM. A new algorithm for the detection of brain oscillations packets has been developed based on SBM, called Time-Frequency Breakdown Method (TFBM)

utcn-pl

Logic Programming laboratories at the Technical University of Cluj-Napoca

A-study-of-clustering

autoclustering

Python implementation of AutoClustering created by Masaomi Kimura

burst-detection

Python implementation of neuronal burst detection algorithms

CFR

Python implementation of Corrected Fisher Randomization (CFR)

ComputerVision

Python implementation for image segmentation using CNNs in tensorflow

Deep-Clustering-in-Spike-Sorting

A study of deep clustering in spike sorting: a comprehensive benchmark of 12 deep clustering algorithms

Drop-Ripple-Counter

Drop Ripple Counter (DRC) is a novel clustering algorithm. You can find its Python implementation here

Edging-Distance

A path-based distance computation for non-convexity with applications in clustering and clustering performance evaluation

keg-utcn-website

Website for the Knowledge Engineering Research Group (KEG) of the Technical University of Cluj-Napoca (TUCN)

LGB

Python implementation of the Linde–Buzo–Gray (LGB) algorithm

NaturalLanguageProcessing

PCNN

Python implementation of the Pulse Coupled Neural Network (PCNN)

perturbation

Python implementation of a data perturbation method to determine relevant features for NN learning

Psychophysics

C# implementation of a staircase algorithm and the quest algorithm used to determine an individual's threshold for detecting a stimulus

som-exploit

Python implementation of exploiting SOMs for clustering

Time-Frequency-Breakdown-Method

The Time-Frequency Breakdown Method (TFBM) was developed for the detection of brain oscillations in time-frequency representations (such as spectrograms obtained from the Fourier Transform).

University-Projects

Projects made during my university years

utcn-hub-concurs

MDBSCAN

Python implementation of MDBSCAN

Nonlinear-Feature-Extraction-in-SpikeSorting

A study of non-linear manifold feature extraction in spike sorting: a comprehensive benchmark of 15 feature extraction methods

Spike-Cluster-Score

Spike Cluster Score (SCS) is a clustering performance metric designed with the purpose of spike sorting in mind.

TME

Python implementation of Tensor Maximum Entropy (TME)

utcn-fa

Fundamental algorithms laboratory assignments.