Human Orbitofrontal Cortex Represents a Cognitive Map of State Space.

By Nicolas W. Schuck, Mingbo Cai, Robert C. Wilson, Yael Niv. 2016

529 citations recorded by the source corpus.

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In Cognitive Neuroscience

Citations in the corpus

A modeling framework for adaptive lifelong learning with transfer and savings through gating in the prefrontal cortex (2020, background): “These “cognitive maps” representing different context-dependent behavioral strategies are characteristic of areas of OFC (68), perhaps lateral OFC in particular (66).”
A map of abstract relational knowledge in the human hippocampal–entorhinal cortex (2017, background): “It is notable that we did not find clear evidence for the map-like structure outside the hippocampal formation, although areas such as the orbitofrontal cortex have been shown to represent cognitive maps of decision spaces (Schuck et al., 2016).”
Neural Coding of Cognitive Control: The Representational Similarity Analysis Approach. (2020, unknown): “, planning and action preparation) [82]–[84].”
Analyzing Neuroimaging Data Through Recurrent Deep Learning Models (2018, unknown): “This is a common approach for group-level predictions with the searchlight analysis and is widely applied in the neuroscience literature (e.g., [Weygandt et al., 2012, Helﬁnstein et al., 2014, Schuck et al., 2016, Reverberi et al., 2018]).”
Sequential Replay of Non-spatial Task States in the Human Hippocampus (2018, methodology): “Of particular interest are investigations asking whether neural populations in the hippocampus and entorhinal cortex share a common neural code for abstract task states with orbitofrontal (7) and medial prefrontal regions (43), as suggestedby recent studies (38, 44, 45).”
Interpretable LSTMs For Whole-Brain Neuroimaging Analyses (2018, methodology): “, [36, 37, 38]) by computing the searchlight analysis based on the β-maps of a subject-level GLM analysis (Supplementary Information 2).”
Estimating trial-wise modulation of functional connectivity using event-related fMRI (2026, unknown): “Examples include prediction errors (Gläscher et al., 2010), expected value (Daw et al., 2011), uncertainty (Nassar et al., 2019), latent-89 state estimates (Schuck et al., 2016), and memory strength (Li et al., 2025).”
Frontoparietal Hubs Leverage Probabilistic Representations and Integrated Uncertainty to Guide Cognitive Flexibility (2025, unknown): “…BOLD response amplitudes vary systematically with key parameters from our computational model: (1) the uncertainty of the model predicted state belief, color belief, and task belief, (2) prediction errors and derivatives of task and state beliefs, and (3) the entropy of the joint distribution.”
Mental graphs structure the storage and retrieval of visuomotor associations (2025, unknown): “To answer this question, we had the participants practise a hierarchically structured mapping (as in Experiments 1 and 4) for eight consecutive days.”
The representation of abstract goals in working memory is supported by task-congruent neural geometry (2024, unknown): “This is reminiscent of studies on PFC demonstrating relational structures of task knowledge, such as inferred latent state [44,45], schema [46] and indirectly observed associations between stimuli [47,48].”