Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design
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Updated
Apr 24, 2020 - Jupyter Notebook
Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design
probmods 2: electric boogaloo
ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides eno…
Language, Knowledge, Cognition
Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"
❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc
Platform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments
A block modeling system for cognitive neuroscience
Computational Cognitive Science (计算认知科学).
Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)
Python package for extracting representations from state-of-the-art computer vision models
Modern port of Melanie Mitchell's and Douglas Hofstadter's Copycat
Exercises, data, and more for our 2017 summer workshop (funded by the Estes Fund and in partnership with Project Jupyter and Berkeley's D-Lab)
jsPsych tasks made by the Niv Lab
认知计算神经联盟 讨论会
A library for neuroscience-inspired navigation and decision making research.
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
Cognitive Computing with Associative Memory
CVPR 2022: Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?
Deep active inference agents using Monte-Carlo methods
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