Hippocampal remapping induced by new behavior is mediated by spatial context DOI Open Access
Samuel J. Levy, Michael E. Hasselmo

Published: June 8, 2023

The hippocampus plays a central role in episodic memory and spatial navigation. Hippocampal neurons form unique representational codes different environments, which may provide neural substrate for context that can trigger recall or enable performance of context-guided tasks. However, new learning often occurs familiar location, requiring location’s representation to be updated without erasing the previously existing representations adaptive again future. To study how affects acquired representation, we trained mice perform two plus maze tasks across nine days sequence Turn Right 1 – Go East 2 (three each), while used single-photon calcium imaging record activity hundreds dorsal CA1. One cohort performed entire experiment on same (One-Maze), second task (Two-Maze). We hypothesized CA1 One-Maze would exhibit more change patterns neuronal from than seen Two-Maze mice. Indeed, changes single unit population code were larger group. further show evidence utilize separate each environment. Finally, found remapping epochs did not involve an erasure first experience, as many both groups maintained Right-associated even after performing rule. These results demonstrate hippocampal remap response learning, is greater when experiences occur context, throughout information experience preserved.The self-localization consolidation into long term memory. place cells tracks animal’s location upcoming navigational decisions, providing, at ensemble level, physical location. Many studies have demonstrated existence divergent short time scales orthogonalize distinct learned simultaneously. Here, expand this knowledge using power track memories either environments over periods time. observe during rules environment environments. find behavioral rule previous causes significantly associated with observed does wholly destabilize rule, maintain specific important step forward understanding function by dramatically expanding temporal scale are measured.

Language: Английский

The causal structure and computational value of narratives DOI
Janice Chen, Aaron M. Bornstein

Trends in Cognitive Sciences, Journal Year: 2024, Volume and Issue: 28(8), P. 769 - 781

Published: May 10, 2024

Language: Английский

Citations

3
Top-down attention shifts behavioral and neural event boundaries in narratives with overlapping event scripts DOI

Alexandra De Soares,

Tony Kim,

Franck Mugisho

et al.

Current Biology, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

Citations

2
Beyond simple laboratory studies: developing sophisticated models to study rich behavior DOI Open Access
Antonella Maselli, Jeremy Gordon, Mattia Eluchans

et al.

Published: June 27, 2023

Psychology and neuroscience are concerned with the study of behavior, internal cognitive processes, their neural foundations. However, most laboratory studies use constrained experimental settings that greatly limit range behaviors can be expressed. While focusing on restricted ensures methodological control, it risks impoverishing object study: by restricting we might miss key aspects function. In this article, argue psychology should increasingly adopt innovative designs, measurement methods, analysis techniques sophisticated computational models to probe rich, ecologically valid forms including social behavior. We discuss challenges studying rich behavior as well novel opportunities offered state-of-the-art methodologies new sensing technologies, highlight importance developing formal models. exemplify our arguments reviewing some recent streams research in psychology, other fields (e.g., sports analytics, ethology robotics) have addressed a model-based manner. hope these "success cases" will encourage psychologists neuroscientists extend toolbox behavioral – them processes they engage.

Language: Английский

Citations

4
High performers demonstrate greater neural synchrony than low performers across behavioral domains DOI Creative Commons
Taylor A. Chamberlain, Anna Corriveau, Hayoung Song

et al.

Imaging Neuroscience, Journal Year: 2024, Volume and Issue: 2, P. 1 - 17

Published: March 21, 2024

Abstract Heterogeneity in brain activity can give rise to heterogeneity behavior, which turn comprises our distinctive characteristics as individuals. Studying the path from however, often requires making assumptions about how similarity behavior scales with activity. Here, we expand upon recent work (Finn et al., 2020) proposes a theoretical framework for testing validity of such assumptions. Using intersubject representational analysis two independent movie-watching functional MRI (fMRI) datasets, probe brain-behavior relationships vary function behavioral domain and participant sample. We find evidence that, some cases, neural individuals is not correlated similarity. Rather, higher scores are more similar other high scorers whereas lower dissimilar everyone else. Ultimately, findings motivate extensive investigation both structure tacit assumption that people who behave similarly will demonstrate shared patterns

Language: Английский

Citations

1
Memory updating and the structure of event representations DOI Creative Commons
Christopher N. Wahlheim, Jeffrey M. Zacks

Trends in Cognitive Sciences, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

1
Emotional information facilitates or disrupts memory integration through distinct hippocampal processes of reactivation and connectivity DOI Open Access
Yannan Zhu, Wei Liu, Nils Kohn

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: April 26, 2023

Abstract Emotion has a significant impact on how related experiences are organized into integrated memories. However, the neurobiological mechanisms of emotion modulates memory integration for information with different valences remain unclear. In this between-subject functional magnetic resonance imaging (fMRI) study, we investigated emotional modulations by manipulating valence stimuli used in an associative paradigm. Three groups participants were tested: one group (i.e., negative) neutral information, two pieces and control information. Behaviorally, facilitated its but interfered other Neurally, emotion-induced facilitation effect, occurring was associated increased trial-specific reactivation hippocampus during both encoding retrieval. This also supported strengthened hippocampal connectivity amygdala, as well set neocortical areas to regulation default mode network (DMN). contrast, interference impaired retrieval that appeared offset facilitating effect encoding. Similar relatively weak found underlying integration. Taken together, facilitates while disrupting through distinct dynamical processes connectivity.

Language: Английский

Citations

2
Computational meaningfulness as the source of beneficial cognitive biases DOI Creative Commons
Jyrki Suomala, Janne Kauttonen

Frontiers in Psychology, Journal Year: 2023, Volume and Issue: 14

Published: May 2, 2023

The human brain has evolved to solve the problems it encounters in multiple environments. In solving these challenges, forms mental simulations about multidimensional information world. These processes produce context-dependent behaviors. as overparameterized modeling organ is an evolutionary solution for producing behavior a complex One of most essential characteristics living creatures that they compute values receive from external and internal contexts. As result this computation, creature can behave optimal ways each environment. Whereas other almost exclusively biological (e.g., how get food), cultural computes meaningfulness perspective one's activity. computational means process brain, with help which individual tries make respective situation comprehensible herself know optimally. This paper challenges bias-centric approach behavioral economics by exploring different possibilities opened up insight into wider perspectives. We concentrate on confirmation bias framing effect examples cognitive biases. conclude use biases are indispensable property optimally designed system what like. From perspective, be rational under some conditions. relies small-scale interpretable models include only few explanatory variables, emphasizes models, allow variables models. People used working varying at its best such environment scientific study should increasingly take place situations simulating real By using naturalistic stimuli videos VR) we create more realistic, life-like contexts research purposes analyze resulting data machine learning algorithms. manner, better explain, understand predict choice

Language: Английский

Citations

2
The Naturalistic Free Recall Dataset: four stories, hundreds of participants, and high-fidelity transcriptions DOI Open Access
Omri Raccah,

Phoebe Chen,

Todd M. Gureckis

et al.

Published: June 11, 2024

The “Naturalistic Free Recall Dataset" provides transcribed verbal recollections of four spoken narratives, collected from a cohort 229 participants. Each participant listened to two stories, varying in duration approximately 8 13 minutes, recorded by different speakers. Subsequently, participants were tasked with verbally recalling the narrative content as much detail possible and correct order. dataset includes high-fidelity, time-stamped text transcripts both original narratives participants' recollections. To validate dataset, we apply previously published method score memory performance for content. Using this approach, extend effects traditionally observed classic list-learning paradigms. Finally, facilitate use these rich data community, offer brief overview recent computational methods used automatically annotate evaluate narratives. All experimental materials, code are publicly available new advances understanding human memory.

Language: Английский

Citations

0
Unlocking play willingness: the dual pathways of curiosity drive and downward social comparison in game advertising DOI Creative Commons
Dai Zetian, Juan Xue,

Du Jiaxin

et al.

Frontiers in Psychology, Journal Year: 2024, Volume and Issue: 15

Published: Aug. 23, 2024

The integrity and clarity of information have long been regarded as the cornerstones advertising strategy. However, recent game has taken a different approach. Specifically, incomplete videos, especially those showcasing losing gameplay, are more likely to stimulate players’ interest compared complete videos winning gameplay. This study, through five experiments, uncovers dual-pathway mechanism behind this phenomenon. Firstly, gaps resulting from trigger curiosity drive, compelling viewers seek reinforcing their willingness engage in gaming. Secondly, witnessing failures demonstrations activates components downward social comparison competitive motivation. These findings offer valuable insights into complex dynamics advertising, shedding light on effects gaps, curiosity, comparison. They provide implications for strategies within gaming industry.

Language: Английский

Citations

0
The “Naturalistic Free Recall” dataset: four stories, hundreds of participants, and high-fidelity transcriptions DOI Creative Commons
Omri Raccah,

Phoebe Chen,

Todd M. Gureckis

et al.

Scientific Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: Dec. 3, 2024

Abstract The “Naturalistic Free Recall” dataset provides transcribed verbal recollections of four spoken narratives collected from 229 participants. Each participant listened to two stories, varying in duration approximately 8 13 minutes, recorded by different speakers. Subsequently, participants were tasked with verbally recalling the narrative content as much detail possible and correct order. includes high-fidelity, time-stamped text transcripts both original participants’ recollections. To validate dataset, we apply a previously published automated method score memory performance for content. Using this approach, extend effects traditionally observed classic list-learning paradigms. analysis contents its recollection presents unique challenges compared controlled experiments. facilitate use these rich data community, offer an overview recent computational methods that can be used annotate evaluate key properties their advancements machine learning natural language processing, help community understand role event structure, discourse properties, prediction error, high-level semantic features (e.g., idioms, humor), more. All experimental materials, code, are publicly available new advances understanding human memory.

Language: Английский

Citations

0