Data and code resources. حسب Sam Hall-McMaster (10343795)

"…This activation had a functional connection to behavior in that stronger activation of SF&GPI solutions in visual areas was associated with increased behavioral reuse. These findings point to a possible neural implementation of an adaptive algorithm for generalization across tasks.…"

The folder containing the code is provided as supportive documentation associated with this paper. حسب Quxi Kuang (22493270)

الموضوعات:

K-shortest path algorithm, finding count, and OD algorithm. حسب Jin Ki Eom (21192426)

The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

"…The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …"

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

a. How various statistical models account for modulation classification performance across the entire dataset. حسب Chris Scholes (3309477)

Parameters of ML algorithms. حسب Md. Maeen Molla (20827041)

Algorithm testing. حسب Ziad M. Ali (12516532)

الموضوعات:

XGBoost odor prediction model: finding the structure-odor relationship of odorant molecules using the extreme gradient boosting algorithm حسب Pankaj Tyagi (20147683)

The parameter setting of the evolutionary neural network. حسب Wenbing Shi (5806160)

الموضوعات:

The genome coding scheme. حسب Wenbing Shi (5806160)

الموضوعات:

UAV target finding and target tracking. حسب Yuanhong Dan (20570631)

UAV target finding and target tracking. حسب Yuanhong Dan (20570631)

Model comparison between our model-free algorithm (here MF*) and SARSA. حسب Carlos A. Velázquez-Vargas (19751567)

Code used for data analysis in this study. حسب Nourin Sultana (22339463)

الموضوعات:

Schematic diagram of elements in the delivery area. حسب Yingbo Mao (22522192)

Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks حسب Balázs Mészáros (16890225)

"…Our method supports multiple spikes per neuron and introduces a delay learning algorithm that can, in contrast to previous methods, also be applied to recurrent Spiking Neural Networks. …"

Algorithm training accuracy experiments. حسب Yingying Liu (360782)

Kappa coefficients for different algorithms. حسب Yingying Liu (360782)