Hippocampal Network Reorganization Underlies the Formation of a Temporal Association Memory

Ahmed, Mohsin; Priestley, James B.; Castro, Angel; Stefanini, Fabio; Canales, Ana Sofia Solis; Balough, Elizabeth M.; Lavoie, Erin; Mazzucato, Luca; Fusi, Stefano; Losonczy, Attila

doi:10.1016/j.neuron.2020.04.013

Cited by 71 publications

(74 citation statements)

References 67 publications

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“…Similar to other recent studies (12,13), we have studied activity using binary activity rasters derived from GCaMP imaging. However, an important caveat is that any method of quantifying neural activity has limitations, such that there could be additional ways that neurons encode information which are not well resolved using this approach.…”

Section: Discussionmentioning

confidence: 91%

“…While correlations have been shown to contribute additional information for small groups (3-8 neurons) of cortical neurons (Averbeck and Lee, 2006), only a few studies have examined how correlations contribute to encoding within larger cortical ensembles. One study found that the identity of a conditioned stimulus was encoded in mean activity levels, but not in moment-to-moment patterns of co-activity (Ahmed et al , 2020). Another study found that in hippocampal region CA1, disrupting correlations impairs the decoding of position, head direction and speed, but did not directly examine whether correlations themselves are dynamically modulated to encode these behavioral variables (Stefanini et al , 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Recently, a few studies have examined how correlations contribute to encoding within larger cortical ensembles, which have greater potential for both synergy and redundancy. One found that the identity of a conditioned stimulus was encoded in mean activity levels, but not in moment-to-moment patterns of co-activity (12). In hippocampal region CA1, disrupting correlations impairs the decoding of position, head direction and speed (13).…”

Section: Introductionmentioning

confidence: 99%

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Dynamic patterns of correlated activity in the prefrontal cortex encode information about social behavior

Frost¹,

Haggart²

2020

Preprint

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How neurons encode behavior is a fundamental question. Neuronal ensembles increase or decrease activity during specific behaviors. However, it is unclear whether ensembles encode information solely via changes in activity levels, or whether changes in correlations between neurons carry additional information. We used microendoscopic GCaMP imaging to measure prefrontal activity while mice were either alone or engaged in social interaction. Using neural network classifiers to measure how well prefrontal neurons transmit information about social behavior to downstream neurons, we find that surrogate datasets which preserve dynamic correlations outperform those which preserve ensemble activity but not correlations. Notably, this ability of correlations to enhance the information transmitted by neuronal ensembles is lost in mice lacking the autism-associated gene Shank3. These results show that dynamically modulated correlations create patterns of coactive neurons which are behaviorally-specific and enhance the information transmitted by neuronal ensembles. Furthermore, this process may be disrupted in pathological states.

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Section: Discussionmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic patterns of correlated activity in the prefrontal cortex encode information about social behavior

Frost¹,

Haggart²

2020

Preprint

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“…Current neuroscience recognizes that cognition and thoughts are strongly tied to neural activity. The order associations in learning, speech, thinking, and muscle coordination dictate our psychology's temporal organization [1] . A stimulus representing spatial relationships arrives in the brain, where the sensory organs transform signals into a temporal projection [147] .…”

Section: Discussionmentioning

confidence: 99%

The thermodynamics of cognition: A mathematical treatment

Deli¹,

Peters

Kisvárday

2021

Computational and Structural Biotechnology Journal

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Graphical abstract The thermodynamics consequences of intelligent computation. The neural system uses substantial resources to maintain the resting state; therefore, the Carnot cycle can model the evoked cycle. The synaptic complexity during neural computation changes in parallel with the ability to respond to future challenges. Positive emotions (top) trigger the reversed Carnot cycle, which accumulates energy and entropy (the entropy at the end of the cycle is A′ where S (A′) > S (A)). Negative emotions initiate an exothermic Carnot cycle, which accumulates information and wastes energy (entropy at the end of the cycle is A′ and S (A′) < S (A)).

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“…With recognition that neurons within the hippocampus contribute indispensable information about an experience (location and context), the Cognitive Map interpretation has largely replaced the Memory Index Theory for the study of episodic memory ( Figure 1 ). The Cognitive Map Theory, however, does not fully explain some of the most important aspects of episodic memory attributed to the CA1, such as temporal association (the binding of discontinuous elements of an experience in time) (Ahmed et al, 2020 ), and the formation of conjunctive representations, during which independent features of an experience are bound into a unitary representation (Rudy and O'Reilly, 1999 ). Furthermore, the location specific firing of place cells in a new environment is not necessarily a determinant of IEG expression (Miyashita et al, 2009 ; Tanaka et al, 2018 ).…”

Section: The Hippocampal Engram and Memorymentioning

confidence: 99%

The Quest for the Hippocampal Memory Engram: From Theories to Experimental Evidence

Miry

Chen

2021

Front. Behav. Neurosci.

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More than a century after Richard Semon's theoretical proposal of the memory engram, technological advancements have finally enabled experimental access to engram cells and their functional contents. In this review, we summarize theories and their experimental support regarding hippocampal memory engram formation and function. Specifically, we discuss recent advances in the engram field which help to reconcile two main theories for how the hippocampus supports memory formation: The Memory Indexing and Cognitive Map theories. We also highlight the latest evidence for engram allocation mechanisms through which memories can be linked or separately encoded. Finally, we identify unanswered questions for future investigations, through which a more comprehensive understanding of memory formation and retrieval may be achieved.

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Hippocampal Network Reorganization Underlies the Formation of a Temporal Association Memory

Cited by 71 publications

References 67 publications

Dynamic patterns of correlated activity in the prefrontal cortex encode information about social behavior

Dynamic patterns of correlated activity in the prefrontal cortex encode information about social behavior

The thermodynamics of cognition: A mathematical treatment

The Quest for the Hippocampal Memory Engram: From Theories to Experimental Evidence

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