Media Summary: Speaker: 伟 黄, University of Electronic Science and Technology of China (grid.54549.39) Title: Speaker: Ching-Lung Hsu, Academia Sinica (grid.28665.3f) Title: Cellular mechanisms for rapidly dynamic neural code in spatial ... This is a talk by the neuroscientist Dr. Megan Peters who will briefly introduce Computational Neuroscience and also discuss an ...

Neuromatch Decoding Superior Colliculus Activity - Detailed Analysis & Overview

Speaker: 伟 黄, University of Electronic Science and Technology of China (grid.54549.39) Title: Speaker: Ching-Lung Hsu, Academia Sinica (grid.28665.3f) Title: Cellular mechanisms for rapidly dynamic neural code in spatial ... This is a talk by the neuroscientist Dr. Megan Peters who will briefly introduce Computational Neuroscience and also discuss an ... Lecture at the 2025 UCL Neuropixels course ( Speaker: Mohamady El-Gaby, University of Oxford Title: A Neural Coactivity Code for Dynamic Memory Emcee: Elaine Corbett ... Full reference: Sulewski, P., König, P., Kriegeskorte, N., & Kietzmann, T.C. (2021). Analyses of the neural population dynamics ...

In this info session, we cover everything you need to know about our July 2026 courses: Computational Neuroscience, Deep ... Team Montrebia Cabinet, Computational Neuroscience Team members: Baitong Mu, Saameh Sanaaee ... Intro: Using deep convolutional networks to understand neural Come to know more about our latest study on retinal ganglion cells and their selectivity to complex visual features in the context of ...

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Neuromatch - Decoding Superior Colliculus Activity Underlying Choices in a Bidirectional Motor Task
Talk: Decoding Neural Activity into Language
Talk: Cellular mechanisms for rapidly dynamic neural code in spatial navigation
Neuromatch Academy: Computational Neuroscience Across Borders
3.08 - Decoding the activity of large populations of neurons (Abraham Vollan)
Colloquium May 9, 2019 -- Decoding Navigational Circuits in a Tiny Brain
Talk: A Neural Coactivity Code for Dynamic Memory
Two types of representational echoes in the human visual system (Neuromatch 4.0 edition)
Get ready to apply to Neuromatch & Climatematch Academy! - Academy Info Session, 21 Jan 2026
Working Memory Involvement in Higher Cognition: Insights from fMRI Modeling
Deep Learning Intro
Neuromatch 4.0 Virgili 2021
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Neuromatch - Decoding Superior Colliculus Activity Underlying Choices in a Bidirectional Motor Task

Neuromatch - Decoding Superior Colliculus Activity Underlying Choices in a Bidirectional Motor Task

Our presentation for

Talk: Decoding Neural Activity into Language

Talk: Decoding Neural Activity into Language

Speaker: 伟 黄, University of Electronic Science and Technology of China (grid.54549.39) Title:

Talk: Cellular mechanisms for rapidly dynamic neural code in spatial navigation

Talk: Cellular mechanisms for rapidly dynamic neural code in spatial navigation

Speaker: Ching-Lung Hsu, Academia Sinica (grid.28665.3f) Title: Cellular mechanisms for rapidly dynamic neural code in spatial ...

Neuromatch Academy: Computational Neuroscience Across Borders

Neuromatch Academy: Computational Neuroscience Across Borders

This is a talk by the neuroscientist Dr. Megan Peters who will briefly introduce Computational Neuroscience and also discuss an ...

3.08 - Decoding the activity of large populations of neurons (Abraham Vollan)

3.08 - Decoding the activity of large populations of neurons (Abraham Vollan)

Lecture at the 2025 UCL Neuropixels course (https://www.ucl.ac.uk/neuropixels/training/2025-neuropixels-course)

Colloquium May 9, 2019 -- Decoding Navigational Circuits in a Tiny Brain

Colloquium May 9, 2019 -- Decoding Navigational Circuits in a Tiny Brain

Marc Gershow NYU

Talk: A Neural Coactivity Code for Dynamic Memory

Talk: A Neural Coactivity Code for Dynamic Memory

Speaker: Mohamady El-Gaby, University of Oxford Title: A Neural Coactivity Code for Dynamic Memory Emcee: Elaine Corbett ...

Two types of representational echoes in the human visual system (Neuromatch 4.0 edition)

Two types of representational echoes in the human visual system (Neuromatch 4.0 edition)

Full reference: Sulewski, P., König, P., Kriegeskorte, N., & Kietzmann, T.C. (2021). Analyses of the neural population dynamics ...

Get ready to apply to Neuromatch & Climatematch Academy! - Academy Info Session, 21 Jan 2026

Get ready to apply to Neuromatch & Climatematch Academy! - Academy Info Session, 21 Jan 2026

In this info session, we cover everything you need to know about our July 2026 courses: Computational Neuroscience, Deep ...

Working Memory Involvement in Higher Cognition: Insights from fMRI Modeling

Working Memory Involvement in Higher Cognition: Insights from fMRI Modeling

Team Montrebia Cabinet, Computational Neuroscience Team members: Baitong Mu, Saameh Sanaaee ...

Deep Learning Intro

Deep Learning Intro

Intro: Using deep convolutional networks to understand neural

Neuromatch 4.0 Virgili 2021

Neuromatch 4.0 Virgili 2021

Come to know more about our latest study on retinal ganglion cells and their selectivity to complex visual features in the context of ...