Its an attempt to create Brain Hash Algorithm able to find robust distinction between EEG signals of different humans

Neural spike sorting algorithms for overlapping spikes in MATLAB.

Exact Spike Inference Via L0 Optimization

bossphorus is a simple volumetric datastore for dense 3D data.

GUI for semi-automatic single neuron classification by cell type

The report I wrote for a BSc project called "A computational framework for the investigation of large-scale brain organisation"

Theoretical Neuroscience Models

Generate image stimuli by Activation Maximization (using derivative free optimization methods) for DCNN and macaque visual system

Package for simulation of integrate-and-fire neurons.

Mathematical model of synaptic transmission which occur in glutamatergic CA3-CA1 synapses

Python Implementation of GLMCC (generalized linear model for spike cross-correlations)

Implementation of Hodgkin-Huxley Spiking Neuron Model

Library of functions for analysing neuroscientific data.

Code for my paper: "Theta sequences as eligibility traces: a biological solution to credit assignment"

UNets for neuroimaging, cortical parcellation

Brief summary of the research

Recurrent spiking network models for predicting MNIST sequences

Simulating Synaptic Dynamics and Decision-Making in Neuronal Populations

In the framework of this work, modelling of evolution and determination of optimal parameters of the genetic algorithm for the string "HELLO WORLD '' was carried out.

This is my solution to the Neuralink Compression Challenge to compress a sample of neural audio losslessly written in python. It includes modules to encode and decode as well as a suite of tests.