Dynamic control of neural manifolds DOI
Andrew B. Lehr,

Arvind Kumar,

Christian Tetzlaff

et al.

Published: July 11, 2024

Abstract In the central nervous system, sequences of neural activity form trajectories on low dimensional manifolds. The computation underlying flexible cognition and behavior relies dynamic control these structures. For example different tasks or behaviors are represented subspaces, requiring fast timescale subspace rotation to move from one next. flexibility in a particular behavior, trajectory must be dynamically controllable within that behaviorally determined subspace. To understand how their subspaces may implemented circuits, we first characterized relationship between features aspects projection. Based this, propose mechanisms can act local circuits modulate thereby controlling subspaces. particular, show gain modulation transient synaptic currents speed path clustered inhibition determines manifold orientation. Together, enable substrate for

Language: Английский

The representational geometry of emotional states in basolateral amygdala DOI Open Access
Pia-Kelsey O’Neill, Lorenzo Posani, József Mészáros

et al.

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

Published: Sept. 23, 2023

Sensory stimuli associated with aversive outcomes cause multiple behavioral responses related to an animal's evolving emotional state, but neural mechanisms underlying these processes remain unclear. Here were presented mice, eliciting two reflecting fear and flight safety: tremble ingress into a virtual burrow. Inactivation of basolateral amygdala (BLA) eliminated differential neutral without eliminating themselves, suggesting BLA signals valence, not motor commands. However, two-photon imaging revealed that neurons typically exhibited mixed selectivity for stimulus identity, and/or ingress. Despite heterogeneous selectivity, representational geometry was lower-dimensional when encoding safety, enabling generalization emotions across conditions. Further, valence coding directions orthogonal, allowing linear readouts specialize. Thus confers computational properties identify specialized circuits variables describing states: conditions, lacking interference from other readouts.

Language: Английский

Citations

4

Factorized visual representations in the primate visual system and deep neural networks DOI Creative Commons
Jack Lindsey, Elias B. Issa

eLife, Journal Year: 2024, Volume and Issue: 13

Published: Feb. 2, 2024

Object classification has been proposed as a principal objective of the primate ventral visual stream and used an optimization target for deep neural network models (DNNs) system. However, brain areas represent many different types information, optimizing object identity alone does not constrain how other information may be encoded in representations. Information about scene parameters discarded altogether ('invariance'), represented non-interfering subspaces population activity ('factorization') or entangled fashion. In this work, we provide evidence that factorization is normative principle biological monkey hierarchy, found pose background from increased higher-level regions strongly contributed to improving decoding performance. We then conducted large-scale analysis individual - lighting, background, camera viewpoint, diverse library DNN Models which best matched neural, fMRI, behavioral data both monkeys humans across 12 datasets tended those factorized most strongly. Notably, invariance these was consistently associated with matches data, suggesting maintaining non-class often preferred dropping it altogether. Thus, propose widely strategy brains thereof.

Language: Английский

Citations

1

Modulation of aggression by social novelty recognition memory in the hippocampal CA2 region DOI Creative Commons
A. Villegas, Steven A. Siegelbaum

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: May 4, 2024

Abstract The dorsal CA2 subregion (dCA2) of the hippocampus exerts a critical role in social novelty recognition (SNR) memory and promotion aggression. Whether aggression SNR functions dCA2 are related or represent independent processes is unknown. Here we investigated hypotheses that an animal more likely to attack novel compared familiar promotes through its ability discriminate between conspecifics. To test these ideas, conducted multi-day resident intruder (R-I) towards We found mice were familiarized silencing caused profound inhibition than intruder. explore whether how pyramidal neurons encode aggression, recorded their activity using microendoscopic calcium imaging throughout days R-I test. fraction selectively activated inhibited during exploration, dominance, behaviors signals enhanced interaction with conspecific. Based on population activity, set binary linear classifiers accurately decoded was engaged each forms behavior. Of particular interest, accuracy decoding greater intruders, significant cross-day same day but not for familiar-novel pair. Together, findings demonstrate integrates information about behavioral state promote

Language: Английский

Citations

1

Factorized visual representations in the primate visual system and deep neural networks DOI Creative Commons
Jack Lindsey, Elias B. Issa

eLife, Journal Year: 2024, Volume and Issue: 13

Published: July 5, 2024

Object classification has been proposed as a principal objective of the primate ventral visual stream and used an optimization target for deep neural network models (DNNs) system. However, brain areas represent many different types information, optimizing object identity alone does not constrain how other information may be encoded in representations. Information about scene parameters discarded altogether (‘invariance’), represented non-interfering subspaces population activity (‘factorization’) or entangled fashion. In this work, we provide evidence that factorization is normative principle biological monkey hierarchy, found pose background from increased higher-level regions strongly contributed to improving decoding performance. We then conducted large-scale analysis individual – lighting, background, camera viewpoint, diverse library DNN Models which best matched neural, fMRI, behavioral data both monkeys humans across 12 datasets tended those factorized most strongly. Notably, invariance these was consistently associated with matches data, suggesting maintaining non-class often preferred dropping it altogether. Thus, propose widely strategy brains thereof.

Language: Английский

Citations

1

Dynamic control of neural manifolds DOI
Andrew B. Lehr,

Arvind Kumar,

Christian Tetzlaff

et al.

Published: July 11, 2024

Abstract In the central nervous system, sequences of neural activity form trajectories on low dimensional manifolds. The computation underlying flexible cognition and behavior relies dynamic control these structures. For example different tasks or behaviors are represented subspaces, requiring fast timescale subspace rotation to move from one next. flexibility in a particular behavior, trajectory must be dynamically controllable within that behaviorally determined subspace. To understand how their subspaces may implemented circuits, we first characterized relationship between features aspects projection. Based this, propose mechanisms can act local circuits modulate thereby controlling subspaces. particular, show gain modulation transient synaptic currents speed path clustered inhibition determines manifold orientation. Together, enable substrate for

Language: Английский

Citations

1