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Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets. https://agosztolai.github.io/MARBLE/
Modeling Perception using Curriculum Learning, Transfer Learning to make incremental steps towards a generalizable model of perception and its AI applications
Analysis of the neural simulation data from NEST Simulator. The following analysis is part of solution for the semestral project for Informatics and Cognitive Science II from Faculty of Math and Physics of Charles University in Prague.
Official repo for NeurReps 2022 paper, "On the Level Sets and Invariance of Neural Tuning Landscapes". Analyze level sets on the tuning landscape of neurons and artificial units
We present a probabilistic model for neural spike counts that can capture arbitrary single neuron and joint statistics with their modulation by external covariates.