GitHub topics: neuromatch-academy
saamehsanaaee/WMAD-Montbretia_Cabinet-ISP
Working Memory Architecture and Demand model created by Montbretia Cabinet in NMA Computational Neuroscience course and Impact Scholars Program.
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Farid-Karimi/Fine-Grained-Classification
Sentiment Analysis for Fine-Grained Classification
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zrmor/NMA2022_DL_project
Modeling how the brain deals with noisy input.
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shomerthesec/Computational_NeuroScience
The assignments and projects done in Neuromatch Academy's Computational NeuroScience Course, for 2021
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anjaliagarwal8/ECoG_MotorImagery-NMA
ECoG Motor Imagery Classification and Analysis. (Neuromatch Academy Project)
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f-arab/Neuromatch-Academy-2021-Final-Project-Computational-Neuroscience-
Python code for Neuromatch Academy's Summer 2021 Computational Neuroscience final project, exploring the correspondence between Alexnet layers and visual cortex hierarchy using fwRF encoding models and fMRI response prediction.
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f-arab/Neromatch-Academy-2022-Final-Project-Deep-Learning
Python code for Neuromatch Academy's Summer 2022 Deep Learning course project: Waste detection using Mask R-CNN on TACO dataset.
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ContextLab/course-content Fork of NeuromatchAcademy/course-content
NMA Computational Neuroscience course (experimental version)
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Hazperera/Gender_Prediction_fMRI_data
Neuromatch Academy Project 2021 :computer:
Language: Python - Size: 66.4 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

Jp-17/NMA_CN_2022_learning
A repository for learning in NMA_CN 2022
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bernardpg/NMA_project
HCP_group_project
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NMA2022Chaosfan/HMM_SteinmetzDataset
A project for NMA_CN _2022 by Chaosfan group, which is using HMM to explore Steinmetz Dataset.
Language: Jupyter Notebook - Size: 218 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

pyshx/Behaviour-Decoder
Exploratory project to interpret electrophysiological data from the Steinmetz et al. 2019 dataset. A part of the Neuromatch Academy Summer School.
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vinceecws/Algonauts2021-NMA
A Python notebook that contains pre-built functions to load, manipulate and analyze data from the Algonauts 2021 Mini-Track dataset.
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shubhe25p/Working-Memory-Demand-in-Social-Cognition
Estimate the demand of working memory in Social Cognition Tasks using HCP-fMRI dataset
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seannoah/nma2020-HCP-project
This is our Neuromatch Academy 2020 computational neuroscience summer school group project.
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