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Theoretical and Computational Neuroscience Summer School
CNeuro2025 Lecture Material
Rava Azeredo da Silveira
CNeuro2025 - Lecture Topics:
Basic Session: tbd
Advanced Session: tbd
Albert Compte
CNeuro2025 - Lecture Topics:
Basic Session: Attractor Models in Working Memory and Decision Making
Advanced Session: Fine-Tuning of Attractors on a Ring Underlies the Learning of Robust Working Memory
Lecture Abstracts:
Adrienne Fairhall
Basic Session: Implementing RL in Biological Circuits
Advanced Session: Tracking Internal Models in the Brain
CNeuro2025 - Lecture Topics:
Lecture Abstracts:
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Haiping Huang
Basic Session: Introduction to Hopfield Paradigm: Learning Efficiency and Representation Geometry
Advanced Session: Non-Hopfieldian Dynamics: Challenges and Opportunities
CNeuro2025 - Lecture Topics:
Lecture Abstracts:
Markus Meister
CNeuro2025 - Lecture Topics:
Basic Session: The Unbearable Slowness of Being: Why Do We Live at 10 bits/s?
Advanced Session: Rapid Learning of Complex Tasks - from Phenomena to Algorithms
Lecture Abstracts:
Bin Min
CNeuro2025 - Lecture Topics:
Basic Session: A Factor-Centric View of Cognitive Computation
Advanced Session: Modeling Factor Interactions with the Restricted-RNN Framework
Rubén Moreno-Bote
CNeuro2025 - Lecture Topics:
Basic Session: Introduction to Soft Reinforcement Learning
Advanced Session: Behavior without rewards: the maximum occupancy principle (MOP)
Lecture Abstracts:
Shanshan Qin
CNeuro2025 - Lecture Topics:
Basic Session: Normative Approaches to Understanding Neural Computation
Advanced Session: Hebbian/Anti-Hebbian Networks: From Biologically Plausible Learning Rules to Representational Drift
Lecture Abstracts:
Yuxiu Shao
CNeuro2025 - Lecture Topics:
Basic Session: Theory and Method in Random Recurrent Neural Network Models
Advanced Session: Bridging Network and Circuit Models: a Low-Rank Approach
Lecture Abstracts and Reading Materials:
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Qianli Yang
CNeuro2025 - Lecture Topics:
Basic Session: The Bayesian Brain: From Probabilistic Inference to Neural Codes
Advanced Session: Build a Bayesian Brain from Scratch: Multisensory Perception through Probabilistic Neural Codes
Lecture Abstracts and Reading Materials:
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Xinyu Zhao
CNeuro2025 - Lecture Topics:
Basic Session: Cognitive Maps: What Do They Represent and How Are They Constructed?
Advanced Session: The Emergence of an Abstract Cognitive Map of Reward Sequence in the Hippocampus through Learning
Lecture Abstracts:
Pengcheng Zhou
CNeuro2025 - Lecture Topics:
Basic Session: Computational Methods for Structural and Functional Imaging Analysis
Advanced Session: Mapping Brain Connections for Understanding Functions
Lecture Abstracts:
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