Graded remapping of hippocampal ensembles under sensory conflicts

Fetterhoff, Dustin; Sobolev, Andrey; Leibold, Christian

doi:10.1016/j.celrep.2021.109661

Cited by 9 publications

(14 citation statements)

References 60 publications

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“…Hippocampal theta sequences provide a well-known example that realize exactly such a reservoir. However, already in the hippocampus, neuronal activity not only consists of sequence-type activity, but also exhibits rate modulations induced by changes in the sensory environment generally known as remapping (Muller and Kubie 1987 ; Leutgeb et al 2005 ; Fetterhoff et al 2021 ). Thus, behavior-related neuronal activity may always contain both reflections of the reservoir and feedforward sensory motor drive, thereby balancing expectations (i.e., reservoir-driven activity) and sensory reality.…”

Section: Discussionmentioning

confidence: 99%

Neural kernels for recursive support vector regression as a model for episodic memory

Leibold

2022

Biol Cybern

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Retrieval of episodic memories requires intrinsic reactivation of neuronal activity patterns. The content of the memories is thereby assumed to be stored in synaptic connections. This paper proposes a theory in which these are the synaptic connections that specifically convey the temporal order information contained in the sequences of a neuronal reservoir to the sensory-motor cortical areas that give rise to the subjective impression of retrieval of sensory motor events. The theory is based on a novel recursive version of support vector regression that allows for efficient continuous learning that is only limited by the representational capacity of the reservoir. The paper argues that hippocampal theta sequences are a potential neural substrate underlying this reservoir. The theory is consistent with confabulations and post hoc alterations of existing memories.

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Section: Discussionmentioning

confidence: 99%

Neural kernels for recursive support vector regression as a model for episodic memory

Leibold

2022

Biol Cybern

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“…Hippocampal theta sequences provide a well-known example that realize exactly such a reservoir. However, already in the hippocampus, neuronal activity not only consists of sequence-type activity, but also exhibits rate modulations induced by changes in the sensory environment generally known as remapping (Muller and Kubie, 1987; Leutgeb et al, 2005; Fetterhoff et al, 2021). Thus, behavior-related neuronal activity may always contain both, reflections W x t of the reservoir, and feed-forward sensory motor drive, thereby balancing expectations (i.e., reservoir-driven activity) and sensory reality.…”

Section: Discussionmentioning

confidence: 99%

Neural Kernels for Recursive Support Vector Regression as a Model for Episodic Memory

Leibold

2022

Preprint

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Retrieval of episodic memories requires intrinsic reactivation of neuronal activity patterns. The content of the memories are thereby assumed to be stored in synaptic connections. This paper proposes a theory in which these are the synaptic connections that specifically convey the temporal order information contained in the sequences of a neuronal reservoir to the sensory-motor cortical areas that give rise to the subjective impression of retrieval of sensory motor events. The theory is based on a novel recursive version of support vector regression that allows for efficient continuous learning that is only limited by the representational capacity of the reservoir. The paper argues that hippocampal theta sequences are a potential neural substrate underlying this reservoir.The theory is consistent with confabulations and post-hoc alterations of existing memories.

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“…From the virtual reality task (Fetterhoff et al, 2021), we obtained data from six male Mongolian gerbils (Meriones unguiculatus) with tetrodes im- randomly-ordered original mazes were presented before 20 randomly ordered swapped mazes. The VR system is described in greater detail in (Thurley et al, 2014).…”

Section: Electrophysiological Data Setsmentioning

confidence: 99%

“…From the virtual reality task (Fetterhoff et al, 2021), we obtained data from six male Mongolian gerbils (Meriones unguiculatus) with tetrodes im-planted to dorsal hippocampal CA1. Gerbils were trained to the task of running on a 620 cm long linear track consisting of three linear hallways separated by two 45 o corners.…”

Section: Electrophysiological Data Setsmentioning

confidence: 99%

“…The informative components of the activity were carried by only few cells that fired few additional spikes. In addition to the rat data, we also assessed CA1 activity of Mongolian gerbils (Fetterhoff et al, 2021) during a reward consumption period that did not require to maintain working memory and found identical results than for control rats, suggesting that the informative low-rate activity patterns are not working-memory dependent, but may constitute a hippocampal trace of cortical short-term memory processing.…”

Section: Introductionmentioning

confidence: 95%

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Low Rate Hippocampal Delay Period Activity Encodes Behavioral Experience

Athanasiadis

Masserini

et al. 2023

Preprint

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Remembering what just happened is a crucial prerequisite to form long-term memories but also for establishing and maintaining working memory. So far there is no general agreement about cortical mechanisms that support short-term memory. Using a classifier-based decoding approach, we report that hippocampal activity during few sparsely distributed brief time intervals contains information about the previous sensory motor experience of rodents. These intervals are characterized by only a small increase of firing rate of only a few neurons. These low-rate predictive patterns are present in both working memory and non-working memory tasks, in two rodent species, rats and Mongolian gerbils, are strongly reduced for rats with medial entorhinal cortex lesions, and depend on the familiarity of the sensory-motor context.

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Graded remapping of hippocampal ensembles under sensory conflicts

Cited by 9 publications

References 60 publications

Neural kernels for recursive support vector regression as a model for episodic memory

Neural kernels for recursive support vector regression as a model for episodic memory

Neural Kernels for Recursive Support Vector Regression as a Model for Episodic Memory

Low Rate Hippocampal Delay Period Activity Encodes Behavioral Experience

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