Premotor cortex hemodynamics reflect internal auditory category, not reported category DOI Creative Commons

Jean-Louis Boucher,

Shihab Shamma, Yves Boubenec

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Дек. 20, 2024

1 Abstract In sensory decision-making tasks, animals’ decisions are driven by perception, but also non-perceptual factors. Because of external and internal noise, stimuli may be internally misclassified, leading to perceptual errors. But other, non-sensory factors such as impulsivity or exploratory behavior can lead Here we exploited the neural traces these errors in frontal cortex provide insights into their role decision making. Using functional ultrasound imaging (fUS), investigated how premotor (PMC) ferrets represents a categorization task, varying difficulty order manipulate rates We found that PMC activity reflects objective (and not chosen) stimulus category on incorrect Easy trials, when more likely. contrast, responses correlate with chosen category) Difficult These results suggest encodes ferret’s necessarily final motor decision. Perceptual could refined further assessing licking patterns, patterns alone did explain effect. This study advances our understanding making, suggesting integrates inputs guide based perceptual, rather than motivational, information.

Язык: Английский

Rapid emergence of latent knowledge in the sensory cortex drives learning DOI
Céline Drieu, Ziyi Zhu, Ziyun Wang

и другие.

Nature, Год журнала: 2025, Номер unknown

Опубликована: Март 19, 2025

Язык: Английский

Процитировано

1
Revealing hidden knowledge in amnestic mice DOI Open Access
Andrea Santi, Sharlen Moore,

Kelly Fogelson

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Янв. 9, 2025

Alzheimer's disease (AD) is a form of dementia in which memory and cognitive decline thought to arise from underlying neurodegeneration. These impairments, however, are transient when they first appear can fluctuate across progression. Here, we investigate the neural mechanisms fluctuations performance amnestic mice. We trained APP/PS1+ mice on an auditory go/no-go task that dissociated learning contingencies (knowledge) its more variable expression under reinforcement (performance). exhibited significant deficits compared control Using large-scale two-photon imaging 6,216 excitatory neurons 8 mice, found cortical networks were suppressed, less selective sensory cues, aberrant higher-order encoding reward prediction A small sub-population neurons, displayed opposite phenotype, reflecting potential compensatory mechanism. Volumetric analysis demonstrated concentrated near Aβ plaques. Strikingly, these reversed almost instantaneously probe (non-reinforced) trials performed as well providing evidence for intact stimulus-action knowledge despite ongoing performance. biologically-plausible model recapitulated results showed synaptic weights sensory-to-decision preserved (i.e. knowledge) poor was due inadequate contextual scaling impaired performance). Our suggest phenotype transient, contextual, endogenously reversible, with circuits retaining associations. Thus, commonly observed mouse models, potentially at early stages humans, relate drivers rather than degeneration traces.

Язык: Английский

Процитировано

0
Individual-specific strategies inform category learning DOI Creative Commons
Jared S. Collina,

Gozde Erdil,

Mingyi Xia

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 23, 2025

Categorization is an essential task for sensory perception. Individuals learn category labels using a variety of strategies to ensure that signals, such as sounds or images, can be assigned proper categories. Categories are often learned on the basis extreme examples, and boundary between categories differ among individuals. The trajectories learning also individuals, different individuals rely strategies, repeating alternating choices. However, little understood about relationship individual categorization. To study this relationship, we trained mice categorize auditory stimuli into two two-alternative forced choice task. Because took several weeks task, were able quantify time course how they relate around categorization boundary. Different exhibited while Mice displayed preferences specific category, manifested by bias in their responses, but drifted with learning. We found drift correlated variability ambiguous membership. Next, asked stimulus-independent, individual-specific informed tendency repeat choices, which form perseveration, contributed long-term These results indicate trends during affect boundaries.

Язык: Английский

Процитировано

0
Novel and optimized mouse behavior enabled by fully autonomous HABITS: Home-cage Assisted Behavioral Innovation and Testing System DOI Open Access
Bowen Yu, Penghai Li,

Haoze Xu

и другие.

Опубликована: Фев. 14, 2025

Mice are among the most prevalent animal models used in neuroscience, benefiting from extensive physiological, imaging and genetic tools available to study their brain. However, development of novel optimized behavioral paradigms for mice has been laborious inconsistent, impeding investigation complex cognitions. Here, we present a home-cage assisted mouse innovation testing system (HABITS), enabling free-moving learn challenging cognitive behaviors without any human involvement. Supported by general programming framework, have not only replicated established current neuroscience research but also developed previously unexplored mice, resulting more than 300 demonstrated various cognition functions. Most significantly, HABITS incorporates machine-teaching algorithm, which comprehensively presentation stimuli modalities trials, leading efficient training higher-quality outcomes. To our knowledge, this is first instance where behavior systematically an algorithmic approach. Altogether, results open new avenue optimization, directly facilitates neural circuits cognitions with mice.

Язык: Английский

Процитировано

0
Novel and optimized mouse behavior enabled by fully autonomous HABITS: Home-cage Assisted Behavioral Innovation and Testing System DOI Open Access
Bowen Yu, Penghai Li,

Haoze Xu

и другие.

Опубликована: Фев. 14, 2025

Mice are among the most prevalent animal models used in neuroscience, benefiting from extensive physiological, imaging and genetic tools available to study their brain. However, development of novel optimized behavioral paradigms for mice has been laborious inconsistent, impeding investigation complex cognitions. Here, we present a home-cage assisted mouse innovation testing system (HABITS), enabling free-moving learn challenging cognitive behaviors without any human involvement. Supported by general programming framework, have not only replicated established current neuroscience research but also developed previously unexplored mice, resulting more than 300 demonstrated various cognition functions. Most significantly, HABITS incorporates machine-teaching algorithm, which comprehensively presentation stimuli modalities trials, leading efficient training higher-quality outcomes. To our knowledge, this is first instance where behavior systematically an algorithmic approach. Altogether, results open new avenue optimization, directly facilitates neural circuits cognitions with mice.

Язык: Английский

Процитировано

0
Catch me if you can: free-living mice show a highly flexible dodging behaviour suggestive of intentional tactical deception DOI Creative Commons
Raffaele d’Isa, Michael H. Parsons, M. Chrzanowski

и другие.

Royal Society Open Science, Год журнала: 2024, Номер 11(7)

Опубликована: Июль 1, 2024

Intentional tactical deception, the employment of a tactic to intentionally deceive another animal, is complex behaviour based on higher-order cognition, that has rarely been documented outside primates and corvids. New laboratory-to-field assays, however, provide opportunity investigate such among free-living mice. In present study, we placed laboratory-style test chambers with single entrance near forest Warsaw, where observed social interactions two territorial murids, black-striped yellow-necked mice, under food competition for seven months. Notably, interactions, video-recorded 21 instances deceptive pursuer evasion. most obvious cases, an individual inside chamber, avoid incoming mouse, hid by chamber opening (the only means enter or exit), paused until entered passed by, then exploited distraction back-turned fleeing through in direction opposite one came from. This dodging first evidence suggestive intentional deception As such, this may be interest not rodent psychology but also, more generally, fields non-human intentionality theory mind.

Язык: Английский

Процитировано

2
Rapid emergence of latent knowledge in the sensory cortex drives learning DOI Creative Commons
Céline Drieu, Ziyi Zhu, Ziyun Wang

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Июнь 10, 2024

Rapid learning confers significant advantages to animals in ecological environments. Despite the need for speed, appear only slowly learn associate rewarded actions with predictive cues. This slow is thought be supported by a gradual expansion of cue representation sensory cortex. However, evidence growing that more rapidly than classical performance measures suggest, challenging prevailing model cortical plasticity. Here, we investigated relationship between and representations. We trained mice on an auditory go/no-go task dissociated rapid acquisition contingencies (learning) from its slower expression (performance). Optogenetic silencing demonstrated cortex (AC) drives both gains but becomes dispensable at expert. Rather enhancement or representations, two-photon calcium imaging AC excitatory neurons throughout revealed two higher-order signals were causal performance. First, reward prediction (RP) signal emerged within tens trials, was present after action-related errors early training, faded expert levels. Strikingly, time RP impaired learning, suggesting it serves associative teaching role. Second, distinct cell ensemble encoded controlled licking suppression drove improvements. These ensembles spatially clustered uncoupled underlying indicating functional segregation AC. Our results reveal manifests computations separably drive improvements, reshaping our understanding fundamental role

Язык: Английский

Процитировано

1
Extinction burst could be explained by curiosity-driven reinforcement learning DOI Creative Commons
Kota Yamada, Hiroshi Matsui, Koji Toda

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Авг. 29, 2024

Curiosity encourages agents to explore their environment, leading learning opportunities. Although psychology and neurobiology have tackled how external rewards control behavior, intrinsic factors behavior remains unclear. An extinction burst is a behavioral phenomenon in which sudden increase the frequency of immediately follows omission reward. textbook knowledge psychology, there little empirical evidence it experimental situations. In this study, we show that can be explained by curiosity combining computational modeling demonstrations mice. First, built reinforcement model incorporating curiosity, defined as expected reward prediction errors, additively controlled agent's primary Simulations revealed curiosity-driven produced an intensity depended on probability. Second, established procedure captured bursts setup using We conducted operant conditioning task with head-fixed mice, followed after pressing lever at given After training sessions, occasionally withheld delivery when mice performed task. found phasic responses occurred were rewarded high probability, suggesting magnitude errors burst. These results provide theoretical adapting ever-changing environment.

Язык: Английский

Процитировано

1
Individual-specific strategies inform category learning DOI Creative Commons
Jared S. Collina,

Gozde Erdil,

Mingyi Xia

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Сен. 26, 2024

Categorization is an essential task for sensory perception. Individuals learn category labels using a variety of strategies to ensure that signals, such as sounds or images, can be assigned proper categories. Categories are often learned on the basis extreme examples, and boundary between categories differ among individuals. The trajectories learning also individuals, different individuals rely strategies, repeating alternating choices. However, little understood about relationship individual categorization. To study this relationship, we trained mice categorize auditory stimuli into two two-alternative forced choice task. Because took several weeks task, were able quantify time course how they relate around categorization boundary. Different exhibited while Mice displayed preferences specific category, manifested by bias in their responses, but drifted with learning. We found drift correlated variability ambiguous membership. Next, asked stimulus-independent, individual-specific informed tendency repeat choices, which form perseveration, contributed long-term These results indicate trends during affect boundaries.

Язык: Английский

Процитировано

0
Premotor cortex hemodynamics reflect internal auditory category, not reported category DOI Creative Commons

Jean-Louis Boucher,

Shihab Shamma, Yves Boubenec

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Дек. 20, 2024

1 Abstract In sensory decision-making tasks, animals’ decisions are driven by perception, but also non-perceptual factors. Because of external and internal noise, stimuli may be internally misclassified, leading to perceptual errors. But other, non-sensory factors such as impulsivity or exploratory behavior can lead Here we exploited the neural traces these errors in frontal cortex provide insights into their role decision making. Using functional ultrasound imaging (fUS), investigated how premotor (PMC) ferrets represents a categorization task, varying difficulty order manipulate rates We found that PMC activity reflects objective (and not chosen) stimulus category on incorrect Easy trials, when more likely. contrast, responses correlate with chosen category) Difficult These results suggest encodes ferret’s necessarily final motor decision. Perceptual could refined further assessing licking patterns, patterns alone did explain effect. This study advances our understanding making, suggesting integrates inputs guide based perceptual, rather than motivational, information.

Язык: Английский

Процитировано

0