Neuronal Computation Underlying Inferential Reasoning in Humans and Mice.

Reeve HM
Koolschijn RS
Shpektor A
Nili H
Rothaermel R
Campo-Urriza N
O'Reilly JX
Bannerman DM
Behrens TE

Everyday we use our memory to guide the decisions we make. We can even infer relationships between separate life events. Yet, it is not clear how the brain supports this process. Here, by conducting experiments with both mice and people, we show that brain cells in a region called the hippocampus support inference by linking memories for separate life events.

Scientific Abstract

Every day we make decisions critical for adaptation and survival. We repeat actions with known consequences. But we also draw on loosely related events to infer and imagine the outcome of entirely novel choices. These inferential decisions are thought to engage a number of brain regions; however, the underlying neuronal computation remains unknown. Here, we use a multi-day cross-species approach in humans and mice to report the functional anatomy and neuronal computation underlying inferential decisions. We show that during successful inference, the mammalian brain uses a hippocampal prospective code to forecast temporally structured learned associations. Moreover, during resting behavior, coactivation of hippocampal cells in sharp-wave/ripples represent inferred relationships that include reward, thereby "joining-the-dots" between events that have not been observed together but lead to profitable outcomes. Computing mnemonic links in this manner may provide an important mechanism to build a cognitive map that stretches beyond direct experience, thus supporting flexible behavior.

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Neuronal Computation Underlying Inferential Reasoning in Humans and Mice.

Reeve HM
Koolschijn RS
Shpektor A
Nili H
Rothaermel R
Campo-Urriza N
O'Reilly JX
Bannerman DM
Behrens TE

Everyday we use our memory to guide the decisions we make. We can even infer relationships between separate life events. Yet, it is not clear how the brain supports this process. Here, by conducting experiments with both mice and people, we show that brain cells in a region called the hippocampus support inference by linking memories for separate life events.

Scientific Abstract

Every day we make decisions critical for adaptation and survival. We repeat actions with known consequences. But we also draw on loosely related events to infer and imagine the outcome of entirely novel choices. These inferential decisions are thought to engage a number of brain regions; however, the underlying neuronal computation remains unknown. Here, we use a multi-day cross-species approach in humans and mice to report the functional anatomy and neuronal computation underlying inferential decisions. We show that during successful inference, the mammalian brain uses a hippocampal prospective code to forecast temporally structured learned associations. Moreover, during resting behavior, coactivation of hippocampal cells in sharp-wave/ripples represent inferred relationships that include reward, thereby "joining-the-dots" between events that have not been observed together but lead to profitable outcomes. Computing mnemonic links in this manner may provide an important mechanism to build a cognitive map that stretches beyond direct experience, thus supporting flexible behavior.

Citation

2020. Cell, 183(1):228-243.e21.

Free Full Text at Europe PMC

PMC7116148

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Similar content

Preprint
Causse AA, Curot J, Lopes-Dos-Santos V, Nunes-da-Silva R, Barron HC, Dornier V, Denuelle M, De Barros A, Sol J, Lotterie J, Lehongre K, Fernandez-Vidal S, Frazzini V, Navarro V, Valton L, Barbeau EJ, Denison T, Reddy L, Dupret D

A learning-evoked slow-oscillatory architecture paces population activity for offline reactivation across the human medial temporal lobe

Preprint
Nandi T, Puonti O, Clarke WT, Nettekoven CR, Barron HC, Kolasinski J, Hanayik T, Hinson EL, Berrington A, Bachtiar V, Johnstone A, Winkler AM, Thielscher A, Johansen-Berg H, Stagg CJ

tDCS induced GABA change is associated with the simulated electric field in M1, an effect mediated by grey matter volume in the MRS voxel