Vijay Balasubramanian

CNeuro2021 - Lecture Topics:

Basic Session: Principles of Distributed Computation in the Brain
Advanced Session: Imagining Space

Reading Materials:

Cornelia (Cori) Bargmann

CNeuro2021 - Lecture Topics:

Special Lecture:
Organizing Behavior across Timescales

Reading Materials:

Dmitri (Mitya) B. Chklovskii

Basic Session: Deriving Neural Circuits from First Principles
Advanced Session: Similarity Matching Networks

CNeuro2021 - Lecture Topics:

Reading Materials:

Julijana Gjorgjieva

CNeuro2021 - Lecture Topics:

Basic Session: Plasticity & Homeostasis in Neural Circuits
Advanced Session: Models of Developing Neural Circuits at Different Scales

Reading Materials:

Christian Machens

CNeuro2021 - Lecture Topics:

Basic Session: Population Coding & Distributed Representations in the Brain
Advanced Session: A Geometric View on Spiking Networks & Distributed Representations

Reading Materials:

Kanaka Rajan

CNeuro2021 - Lecture Topics:

Basic Session: Method and Logic in Recurrent Neural Network (RNN) Models
Advanced Session: RNNs for Mechanism Discovery in Neuroscience

Reading Materials:

Eric Shea-Brown

CNeuro2021 - Lecture Topics:

Basic Session: Dimensionality in Neural Networks I
Advanced Session: Dimensionality in Neural Networks II

Reading Materials:

Vijay Balasubramanian

CNeuro2021 - Lecture Topics:

Basic Session: Principles of Distributed Computation in the Brain Advanced Session: Imagining Space

Reading Materials:

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Cornelia (Cori) Bargmann

CNeuro2021 - Lecture Topics:

Special Lecture: Organizing Behavior across Timescales

Reading Materials:

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Dmitri (Mitya) B. Chklovskii

Basic Session: Deriving Neural Circuits from First Principles Advanced Session: Similarity Matching Networks

CNeuro2021 - Lecture Topics:

Reading Materials:

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Julijana Gjorgjieva

CNeuro2021 - Lecture Topics:

Basic Session: Plasticity & Homeostasis in Neural Circuits Advanced Session: Models of Developing Neural Circuits at Different Scales

Reading Materials:

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Christian Machens

CNeuro2021 - Lecture Topics:

Basic Session: Population Coding & Distributed Representations in the Brain Advanced Session: A Geometric View on Spiking Networks & Distributed Representations

Reading Materials:

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Kanaka Rajan

CNeuro2021 - Lecture Topics:

Basic Session: Method and Logic in Recurrent Neural Network (RNN) Models Advanced Session: RNNs for Mechanism Discovery in Neuroscience

Reading Materials:

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Interpreting Neural Computations by Examining Intrinsic and Embedding Dimensionality of Neural Activity_Jazayeri & Ostojic_2021.pdf

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Rethinking Brain-Wide Interactions through Multi-Region ‘Network of Networks’ Models_Perich & Rajan_2020 .pdf

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Neural Network Dynamics_Vogels, Rajan & Abbott_2005 .pdf

Eric Shea-Brown

CNeuro2021 - Lecture Topics:

Basic Session: Dimensionality in Neural Networks I Advanced Session: Dimensionality in Neural Networks II

Reading Materials:

Eric Shea-Brown - CNeuro2021 Lecture Abstracts.docx​

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Basic Session: Principles of Distributed Computation in the Brain
Advanced Session: Imagining Space

Special Lecture:
Organizing Behavior across Timescales

Basic Session: Deriving Neural Circuits from First Principles
Advanced Session: Similarity Matching Networks

Basic Session: Plasticity & Homeostasis in Neural Circuits
Advanced Session: Models of Developing Neural Circuits at Different Scales

Basic Session: Population Coding & Distributed Representations in the Brain
Advanced Session: A Geometric View on Spiking Networks & Distributed Representations

Basic Session: Method and Logic in Recurrent Neural Network (RNN) Models
Advanced Session: RNNs for Mechanism Discovery in Neuroscience

Basic Session: Dimensionality in Neural Networks I
Advanced Session: Dimensionality in Neural Networks II

Eric Shea-Brown - CNeuro2021 Lecture Abstracts.docx