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The Center for Mind, Brain, Computation and Technology (MBCT) Annual Symposia highlight how neurobiological studies can inform and be guided by ideas from machine learning, artificial intelligence, and cognitive science, and how new technologies emerging now may further propel their studies in the coming years.
The brain's function is powerfully shaped by experience. During the last several decades, there has been considerable progress in understanding experience-dependent changes in many of the brain's functions, from the molecular mechanisms of synaptic plasticity to its function in learning, as well as the role of deficits in synaptic plasticity in a wide array of neurological and psychiatric disorders.
Past Symposia
- MBCT Symposium 2025 - Mechanisms of Efficient Learning in Brains & Machines
- MBCT Symposium 2023 - Metaplasticity and Metalearning in Brains and Machines
- MBCT Symposium 2022 - Insights from new technologies into the neural basis of cognition
- MBCT Symposium 2021 - Where the rubber meets the road: Computational models and empirical evidence
- MBCT Symposium 2020 - Learning: Cognitive, Neural and Computational Perspectives
- MBCT Symposium 2019 - Navigating the neuronal code for space and time
- MBC Annual Symposium 2017 - Pathways, Processing, and Prostheses
- MBC Annual Symposium 2016 - Deep learning: fundamental progress, brain representations, and semantic learning
- MBC Annual Symposium 2014 - On the Role of Sparsity in Neural Computation and the Natural World