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Theoretical and Computational Neuroscience Summer School
CNeuro2024 Lecture Material
Dmitri (Mitya) Chklovskii
CNeuro2024 - Lecture Topics:
Basic Session: The Normative Approach to Understanding Neural Computation
Advanced Session: What Can Connectomes Tell Us about Neural Computation?
Reading Materials and Lecture Slides:
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ChklovskiiLab-CNeuro2024-ReadingMaterial-NeuralCircuitsAndAlgorithmsBlog​
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MityaChklovskii-CNeuro2024-ReadingMaterial-Paper1.pdf
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MityaChklovskii-CNeuro2024-ReadingMaterial-Paper2.pdf
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MityaCjklovskii-CNeuro2024-Slides-BasicLecture.pdf
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MityaCjklovskii-CNeuro2024-Slides-AdvancedLecture.pdf
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Nathaniel Daw
CNeuro2024 - Lecture Topics:
Basic Session: Reinforcement Learning: Basic Algorithms, Brain, and Behaviour
Advanced Session: Advanced Reinforcement Learning: Replay, Temporal Abstraction, and Function Approximation
Abstracts, Reading Materials and Lecture Slides:
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Pulin Gong
Basic Session: Spatiotemporal Activity Patterns in the Brain: Dynamical Properties and Functional Roles
Advanced Session: Fractional Neural Sampling (FNS)
CNeuro2024 - Lecture Topics:
Abstracts, Reading Materials and Lecture Slides:
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Vincent Hakim
CNeuro2024 - Lecture Topics:
Basic Session: The Cerebellum: a Computational
Perspective
Advanced Session: The Credit Assignment Problem and the Cerebellum
Abstracts, Reading Materials and Lecture Slides:
Ole Jensen
CNeuro2024 - Lecture Topics:
Basic Session: Linking Human EEG and MEG Data to Deep Neural Networks
Advanced Session: Pipelining in the Brain by Coupled Oscillations
Abstracts, Reading Materials and Lecture Slides:
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OleJensenCNeuro2024LectureAbstracts.pdf
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OleJensen-CNeuro2024-ReadingMaterial.pdf
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OleJensen-CNeuro2024-Slides-BasicLecture.pptx
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OleJensen-CNeuro2024-Slides-AdvancedLecture.pdf
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Sukbin Lim
CNeuro2024 - Lecture Topics:
Basic Session: Attractor Network for Working Memory and Decision-Making
Advanced Session: Modular Architecture for Understanding Cognitive Interactions
Abstracts and Lecture Slides:
Ruben Moreno-Bote
CNeuro2024 - Lecture Topics:
Basic Session: Introduction to Soft Reinforcement Learning
Advanced Session: Behavior Without Rewards: the Maximum Occupancy Principle (MOP)
Abstracts, Problem Sets, Notes and Lecture Slides:
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RubenMorenoBote-CNeuro2024-LectureAbstracts.pdf​
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RubenMorenoBote-CNeuro2024-ProblemSets.pdf​
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RubenMorenoBote-CNeuro2024-BasicLecture-Notes.pdf​​​​​​
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RubenMorenoBote-CNeuro2024-Slides-BasicLecture.pdf​​​​​​
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RubenMorenoBote-CNeuro2024-Slides-AdvancedLecture.pdf​​​​​​
Naoshige Uchida
CNeuro2024 - Lecture Topics:
Basic Session: Dopamine and Reinforcement Learning (I)
Advanced Session: Dopamine and Reinforcement Learning (II)
Ninglong Xu
CNeuro2024 - Lecture Topics:
Basic Session: Neuronal and Circuit Mechanisms for Information Processing during Sensory and Motor Behaviors
Advanced Session: Dendritic and Circuit Computation for an Intelligent Behavior in Mammalian Brain
Lecture Slides:
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Tianming Yang
CNeuro2024 - Lecture Topics:
Basic Session: Neural Mechanisms of Decision-Making - Basic Frameworks: Signal Detection Theory and Drift-Diffusion Models
Advanced Session: Attention, Value, and Confidence - Extending Drift-Diffusion Model
Abstracts:
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ManeeshSahani-BasicLectureSlides.pdf
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Hang Zhang
CNeuro2024 - Lecture Topics:
Basic Session: Bayesian Observer Models
Advanced Session: Structured Priors and Bounded Rationality in Human Learning and Decision-Making
Abstracts, Problem Sets, Reading Materials and Lecture Slides:
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Lusha Zhu
CNeuro2024 - Lecture Topics:
Basic Session: Social Decision Making: Games, Algorithms,
Advanced Session: Mental Representation and Decision Making on Social Networks
Abstracts and Reading Materials:
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LushaZhu-CNeuro2024Lecture Abstracts.pdf
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