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The impact of the human thalamus on brain-wide information processing
The thalamus is a small, bilateral structure in the diencephalon that integrates signals from
many areas of the CNS. This critical anatomical position allows the thalamus to influence …
many areas of the CNS. This critical anatomical position allows the thalamus to influence …
From cognitive maps to spatial schemas
A schema refers to a structured body of prior knowledge that captures common patterns
across related experiences. Schemas have been studied separately in the realms of …
across related experiences. Schemas have been studied separately in the realms of …
Modeling similarity and psychological space
Similarity and categorization are fundamental processes in human cognition that help
complex organisms make sense of the cacophony of information in their environment. These …
complex organisms make sense of the cacophony of information in their environment. These …
Quality space computations for consciousness
The quality space hypothesis about conscious experience proposes that conscious sensory
states are experienced in relation to other possible sensory states. For instance, the colour …
states are experienced in relation to other possible sensory states. For instance, the colour …
Decoding cognition from spontaneous neural activity
In human neuroscience, studies of cognition are rarely grounded in non-task-
evoked,'spontaneous' neural activity. Indeed, studies of spontaneous activity tend to focus …
evoked,'spontaneous' neural activity. Indeed, studies of spontaneous activity tend to focus …
A multilevel account of hippocampal function in spatial and concept learning: Bridging models of behavior and neural assemblies
A complete neuroscience requires multilevel theories that address phenomena ranging from
higher-level cognitive behaviors to activities within a cell. We propose an extension to the …
higher-level cognitive behaviors to activities within a cell. We propose an extension to the …
Evolving schema representations in orbitofrontal ensembles during learning
How do we learn about what to learn about? Specifically, how do the neural elements in our
brain generalize what has been learned in one situation to recognize the common structure …
brain generalize what has been learned in one situation to recognize the common structure …
Robot navigation as hierarchical active inference
Localization and map** has been a long standing area of research, both in neuroscience,
to understand how mammals navigate their environment, as well as in robotics, to enable …
to understand how mammals navigate their environment, as well as in robotics, to enable …
Knowledge across reference frames: Cognitive maps and image spaces
In human and non-human animals, conceptual knowledge is partially organized according
to low-dimensional geometries that rely on brain structures and computations involved in …
to low-dimensional geometries that rely on brain structures and computations involved in …
The dimensionality of neural representations for control
Highlights•A normative conception of control representations.•Representational
dimensionality and the separability versus generalizability trade-off.•Implications of …
dimensionality and the separability versus generalizability trade-off.•Implications of …