Active experience, not time, determines within-day representational drift in dorsal CA1

Neuron, Journal Year: 2023, Volume and Issue: 111(15), P. 2348 - 2356.e4

Published: June 13, 2023

Language: Английский

---

Dynamic and selective engrams emerge with memory consolidation

Nature Neuroscience, Journal Year: 2024, Volume and Issue: 27(3), P. 561 - 572

Published: Jan. 19, 2024

Episodic memories are encoded by experience-activated neuronal ensembles that remain necessary and sufficient for recall. However, the temporal evolution of memory engrams after initial encoding is unclear. In this study, we employed computational experimental approaches to examine how neural composition selectivity change with consolidation. Our spiking network model yielded testable predictions: transition from unselective selective as neurons drop out into engrams; inhibitory activity during recall essential selectivity; synaptic plasticity consolidation critical become selective. Using activity-dependent labeling, longitudinal calcium imaging a combination optogenetic chemogenetic manipulations in mouse dentate gyrus, conducted contextual fear conditioning experiments supported our model's predictions. results reveal dynamic changes engram mediated crucial emergence selectivity.

Language: Английский

---

Retuning of hippocampal representations during sleep

Nature, Journal Year: 2024, Volume and Issue: 629(8012), P. 630 - 638

Published: May 8, 2024

Language: Английский

---

Remapping revisited: how the hippocampus represents different spaces

Nature reviews. Neuroscience, Journal Year: 2024, Volume and Issue: 25(6), P. 428 - 448

Published: May 7, 2024

Language: Английский

---

Syntalos: a software for precise synchronization of simultaneous multi-modal data acquisition and closed-loop interventions

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: Jan. 15, 2025

Abstract Complex experimental protocols often require multi-modal data acquisition with precisely aligned timing, as well state- and behavior-dependent interventions. Tailored solutions are mostly restricted to individual setups lack flexibility interoperability. We present an open-source, Linux-based integrated software solution, called ‘Syntalos’, for simultaneous synchronization of from arbitrary number sources, including multi-channel electrophysiological recordings different live imaging devices, closed-loop, real-time interventions actuators. Precisely matching timestamps all inputs ensured by continuous statistical analysis correction devices’ timestamps. New sources can be minimal programming skills. Data is stored in a comprehensively structured format facilitate pooling or sharing between laboratories. Syntalos enables synchronized closed-loop multiple approaches. Preliminary neuroscientific experiments on mice research questions show the successful performance easy-to-learn structure suite.

Language: Английский

---

A persistent prefrontal reference frame across time and task rules

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: March 8, 2024

Abstract Behavior can be remarkably consistent, even over extended time periods, yet whether this is reflected in stable or ‘drifting’ neuronal responses to task features remains controversial. Here, we find a persistently active ensemble of neurons the medial prefrontal cortex (mPFC) mice that reliably maintains trajectory-specific tuning several weeks while performing an olfaction-guided spatial memory task. This task-specific reference frame stabilized during learning, upon which repeatedly show little representational drift and maintain their across long pauses exposure repeated changes cue-target location pairings. These data thus suggest ‘core ensemble’ forming task-relevant space for performance consistent behavior periods time.

Language: Английский

---

Mystery of the memory engram: History, current knowledge, and unanswered questions

Neuroscience & Biobehavioral Reviews, Journal Year: 2024, Volume and Issue: 159, P. 105574 - 105574

Published: Feb. 6, 2024

The quest to understand the memory engram has intrigued humans for centuries. Recent technological advances, including genetic labelling, imaging, optogenetic and chemogenetic techniques, have propelled field of research forward. These tools enabled researchers create erase components. While these innovative techniques yielded invaluable insights, they often focus on specific elements trace. Genetic labelling may rely a particular immediate early gene as marker activity, optogenetics activate or inhibit one type neuron, imaging capture activity snapshots in given brain region at times. Yet, memories are multifaceted, involving diverse arrays neuronal subpopulations, circuits, regions that work concert create, store, retrieve information. Consideration contributions both excitatory inhibitory neurons, micro macro circuits across regions, dynamic nature active ensembles, representational drift is crucial comprehensive understanding complex memory.

Language: Английский

---

Drift of neural ensembles driven by slow fluctuations of intrinsic excitability

eLife, Journal Year: 2024, Volume and Issue: 12

Published: May 7, 2024

Representational drift refers to the dynamic nature of neural representations in brain despite behavior being seemingly stable. Although has been observed many different regions, mechanisms underlying it are not known. Since intrinsic excitability is suggested play a key role regulating memory allocation, fluctuations could bias reactivation previously stored ensembles and therefore act as motor for drift. Here, we propose rate-based plastic recurrent network with slow excitability. We first show that subsequent reactivations ensemble can lead this ensemble. The model predicts induced by co-activation active neurons along high which leads remodeling weights. Consistent previous experimental works, drifting informative about its temporal history. Crucially, gradual necessary decoding information from activity Finally, preserved be decoded an output neuron having synapses main region.

Language: Английский

---

Divergent recruitment of developmentally defined neuronal ensembles supports memory dynamics

Science, Journal Year: 2024, Volume and Issue: 385(6710)

Published: Aug. 15, 2024

Memories are dynamic constructs whose properties change with time and experience. The biological mechanisms underpinning these dynamics remain elusive, particularly concerning how shifts in the composition of memory-encoding neuronal ensembles influence evolution a memory over time. By targeting developmentally distinct subpopulations principal neurons, we discovered that encoding resulted concurrent establishment multiple traces mouse hippocampus. Two were instantiated early- late-born neurons followed reactivation trajectories after encoding. divergent recruitment underpinned gradual reorganization modulated persistence plasticity across learning episodes. Thus, our findings reveal profound intricate relationships between ensemble progression memories

Language: Английский

---

Prefrontal cortical ripples mediate top-down suppression of hippocampal reactivation during sleep memory consolidation

Current Biology, Journal Year: 2024, Volume and Issue: 34(13), P. 2801 - 2811.e9

Published: June 3, 2024

Language: Английский

---