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Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
2D irregular shape bin-cutting with heterogenous bins using evolutionary metaheuristics, Particle Swarm Optimization (PSO) and Differential Evolution (DEGL). In python, using shapely. The ...
The twin delayed deep deterministic policy gradient (TD3) algorithm and genetic (G) algorithm can take significant time to converge. Hence, it would be interesting to propose an alternative algorithm ...
OpenAI's Canvas now runs Python code and integrates custom GPTs, revolutionizing writing and programming tasks ...
The differential evolution (DE) algorithm is a heuristic, stochastic, parallel search algorithm. The mutation operation is an integral part of the DE algorithm, relating to the basis and difference ...
A new AI algorithm inspired by the genome’s ability to compress vast information offers insights into brain function and potential tech applications.
The project showcases the implementation of the NEAT algorithm in Python to play a Flappy Bird-like game. It orchestrates the evolution and evaluation of a bird population through successive ...
Evolution is a very slow process, due largely to the fact that nature doesn't "know" in advance which features of an animal will be beneficial. A new AI-based algorithm does know, however ...
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