Long-term dynamics of CA1 hippocampal place codes
Yaniv Ziv,Laurie D. Burns,Eric D. Cocker,Elizabeth Otto Hamel,Kunal K. Ghosh,Lacey J. Kitch,Abbas El Gamal,Mark J. Schnitzer,Mark J. Schnitzer +8 more
TL;DR: Using Ca2+ imaging in freely behaving mice that repeatedly explored a familiar environment, thousands of CA1 pyramidal cells' place fields over weeks were tracked to preserve an accurate spatial representation across weeks.
read more
Abstract: Using Ca(2+) imaging in freely behaving mice that repeatedly explored a familiar environment, we tracked thousands of CA1 pyramidal cells' place fields over weeks. Place coding was dynamic, as each day the ensemble representation of this environment involved a unique subset of cells. However, cells in the ∼15-25% overlap between any two of these subsets retained the same place fields, which sufficed to preserve an accurate spatial representation across weeks.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Neural circuit dynamics of drug-context associative learning in the hippocampus
Yanjun Sun,Lisa M. Giocomo +1 more
TL;DR: In this paper, drug-context associations for psychostimulants and opioids are encoded in a subset of hippocampal neurons and drug context pairing in a conditioned place preference task weakened their spatial coding for the non-drug-paired context, with drug-induced changes to spatial coding predictive of drug-seeking behavior.
•Dissertation
Model-Free and Model-Based Influence on Choice in Rodents and Interactions between Hippocampus and Dorsomedial Prefrontal Cortex during Deliberation
Brendan Hasz
- 01 Jan 2020
TL;DR: This dissertation aims to clarify the role of language in the development of consciousness and the role that language plays in the acquisition of memory and subsequent re-concretization.
•Dissertation
Imaging Neural Circuits Underlying Learning and Behavior
Joseph Wekselblatt
- 10 Apr 2018
Getting the full picture.
TL;DR: A combination of old and new techniques has revealed new details about the behavior of individual neurons across the sleep-wake-cycle.
Interrogation of Neural Circuits of the Basal Forebrain and Midbrain for Sleep-Wake Regulation
Phong H. Do
- 01 Jan 2017
TL;DR: Do et al. as discussed by the authors performed whole-brain mapping of both inputs and outputs of basal forebrain (BF) cell types in the mouse brain to better understand the functional specialization of these cell types.
References
A mathematical theory of communication
TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.
74.4K
•Journal Article
The mathematical theory of communication
Claude E. Shannon,Warren Weaver +1 more
TL;DR: The Mathematical Theory of Communication (MTOC) as discussed by the authors was originally published as a paper on communication theory more than fifty years ago and has since gone through four hardcover and sixteen paperback printings.
36.2K
The hippocampus as a cognitive map
TL;DR: Introduction to cognitive PDF heidegger and cognitive science PDF group cognitive therapy Group cognitive therapy for addictions handbook of brief cognitive behavioral therapy gurwitschs relevancy for cognitive science, and imagery creativity and discovery a cognitive perspective.
7.4K
A pyramid approach to subpixel registration based on intensity
TL;DR: An automatic subpixel registration algorithm that minimizes the mean square intensity difference between a reference and a test data set, which can be either images (two-dimensional) or volumes (three-dimensional).
Large-scale recording of neuronal ensembles
TL;DR: Large-scale recordings from neuronal ensembles now offer the opportunity to test competing theoretical frameworks and require further development of the neuron–electrode interface, automated and efficient spike-sorting algorithms for effective isolation and identification of single neurons, and new mathematical insights for the analysis of network properties.