M
Matthew Botvinick
Researcher at University College London
Publications - 249
Citations - 57443
Matthew Botvinick is an academic researcher from University College London. The author has contributed to research in topics: Reinforcement learning & Computer science. The author has an hindex of 77, co-authored 224 publications receiving 48206 citations. Previous affiliations of Matthew Botvinick include Princeton University & University of Pennsylvania.
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Misdirected vigor: Differentiating the control of value from the value of control
TL;DR: This paper proposed a theory of dACC function that integrates information relevant to determining the expected value of control (EVC), including signals pertaining to demands for control and those pertaining to the potential incentives for control, and uses this to determine how best to allocate cognitive control.
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Compositional Sequence Generation in the Entorhinal–Hippocampal System
TL;DR: In this paper , the synthesis of multiple dynamical systems can support compositional cognitive computations in the medial entorhinal cortex of the human brain, and the authors describe several neural network architectures supporting various types of compositionality based on grid coding and highlight connections to recent work in machine learning leveraging analogous techniques.
Journal ArticleDOI
Meta-Learned Models of Cognition
Marcel Binz,Ishita Dasgupta,Akshay Kumar Jagadish,Matthew Botvinick,Jane X. Wang,Eric Schulz +5 more
TL;DR: Meta-learning is a framework for learning learning algorithms through repeated interactions with an environment as opposed to designing them by hand as mentioned in this paper , and meta-learning can be used to construct Bayes-optimal learning algorithms.
Posted ContentDOI
BCI learning phenomena can be explained by gradient-based optimization
TL;DR: In this paper , the authors show that the speed at which a BCI task can be learned is dependent on how closely the required neural activity aligns with pre-existing activity patterns.