Bayesian Integration of Information in Hippocampal Place Cells

Bayesian Integration of Information in Hippocampal Place Cells

Accurate spatial localization requires a mechanism that corrects for errors, which might arise from inaccurate sensory information or neuronal noise. In this paper, we propose that Hippocampal place cells might implement such an error correction mechanism by integrating different sources of information in an approximately Bayes-optimal fashion. We compare the predictions of our model with physi...

Correction: Bayesian Integration of Information in Hippocampal Place Cells

The images for Figs 3–6 are incorrectly switched. The image that appears as Fig 3 should be Fig 5. The image that appears as Fig 4 should be Fig 3. The image that appears as Fig 5 should be Fig 6. The image that appears as Fig 6 should be Fig 4. The figure captions appear in the correct order. Please see the correct figures below. Copyright: © 2015 Madl et al. This is an open access article dis...

Integration of geometric and contextual inputs to hippocampal place cells

Neurons in the rodent hippocampus fire in highly restricted portions of an environment. These place cells have receptive fields called place fields and are argued to form a representation of space. The work described in this thesis explores the different types of sensory input to these cells, how these inputs are integrated and the implications for our understanding of hippocampal processing. T...

Hippocampal Place Cells Demand Attention

Hippocampal representations of the environment are thought to play a fundamental role in the encoding, storage, and retrieval of declarative memory. In this issue of Neuron, Kentros and coworkers show that new hippocampal representations stabilize only when animals are attentive.

Supplemental Information Dendritic Integration in Hippocampal Dentate Granule Cells