Hippocampal prediction errors and claustral control at the perception-memory crossroads.

Area of Science:

• Neuroscience
• Cognitive Science
• Computational Psychiatry

Background:

• Prediction errors (PEs) are critical for updating memory based on sensory input.
• The hippocampus generates predictions, while the claustrum integrates perceptual evidence to shape PEs.
• Understanding the interplay between prediction and perception is key to explaining memory function.

Purpose of the Study:

• To review cross-species evidence on the hippocampal-claustral circuit's role in aligning perception with memory.
• To integrate Bayesian inference and connectionist models for understanding PE generation and plasticity.
• To explore the implications of aberrant PE calibration for cognitive disorders and potential therapeutic strategies.

Main Methods:

• Review of cross-species neuroscientific literature.
• Integration of Bayesian inference principles with connectionist modeling approaches.
• Analysis of neuromodulatory influences (dopamine, acetylcholine) on PE precision.
• Examination of experimental data, including claustrum inactivation in mice.

Main Results:

• The hippocampus and claustrum form a critical circuit for generating and constraining prediction errors.
• Neuromodulators like dopamine and acetylcholine precisely tune the PE signal.
• Claustrum inactivation in mice disrupts hippocampal-dependent memory reconsolidation, confirming causality.
• Aberrant PE calibration is proposed as a mechanism underlying cognitive symptoms in neurological and psychiatric disorders.

Conclusions:

• The hippocampus and claustrum cooperate to align perception with memory through prediction error signaling.
• Dysregulation of this circuit and PE calibration may underlie cognitive deficits in Alzheimer's disease, schizophrenia, and learning disorders.
• Future research should combine advanced imaging, causal manipulations, and computational modeling to develop biomarkers and precision therapies.