Associative learning and recollection of olfactory memory during the respiratory cycle in mammals: how is the self cognized in consciousness?

Frontiers in Neuroscience, Journal Year: 2025, Volume and Issue: 18

Published: Jan. 17, 2025

When we are awake and relaxed, various memory-scenes come up in our mind by spontaneous activation of memory engrams. We find ourselves the memory-scene longing for it present self. The scene is also recollected sensory inputs from surrounding world learned behavioral decisions. It well experienced that odorants act as strong cues remembering associated memory. Associative learning odor signals object cognition enables us to predict cognitive imagery an environmental object. Here, discuss neural network connecting olfactory cortices higher areas dynamically switches processing mode feedforward top-down. These processes correlated with respiratory cycle form recollect odor-object associative infer during inhalation phase, drive burst firings a specific subset pyramidal cells cortex. In contrast, subsequent late-exhalation top-down scene-signals activate again same those activated signals. Reactivation exhalation phase may induce plastic changes inter-areal synaptic connections associative-learning this perspective article, will self mammalian system.

Language: Английский

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Neural heterogeneity enhances reliable neural information processing: Local sensitivity and globally input-slaved transient dynamics

Science Advances, Journal Year: 2025, Volume and Issue: 11(14)

Published: April 2, 2025

Cortical neuronal activity varies over time and across repeated trials, yet consistently represents stimulus features. The dynamical mechanism underlying this reliable representation computation remains elusive. This study uncovers a for neural information processing, leveraging biologically plausible network model incorporating heterogeneity. First, we investigate timescale diversity, revealing that it disrupts intrinsic coherent spatiotemporal patterns, induces firing rate heterogeneity, enhances local responsive sensitivity, aligns closely with input. system exhibits globally input-slaved transient dynamics, essential processing. Other heterogeneities, such as nonuniform input connections, spike threshold in-degree play similar roles, highlighting the importance of heterogeneity in shaping consistent representation. offers potentially general framework understanding informs design reservoir computing models endowed liquid wave reservoirs neuromorphic computing.

Language: Английский

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Medial Temporal Lobe Damage Impairs Temporal Integration in Episodic Memory

Journal of Cognitive Neuroscience, Journal Year: 2024, Volume and Issue: 36(11), P. 2302 - 2316

Published: Jan. 1, 2024

Although the role of medial temporal lobe (MTL) and hippocampus in episodic memory is well established, there emerging evidence that these regions play a broader cognition, specifically processing. However, despite strong plays critical sequential processing, involvement MTL timing per se poorly understood. In present study, we investigated whether patients with damage exhibit differential performance on distance task. Critically, manipulated context shifts, or boundaries, which have been shown to interfere associative binding, leading increases subjective distance. We predicted would show impaired binding across boundaries thus fail expansion. Consistent this hypothesis, unilateral failed expansion effect, bilateral actually exhibited reverse suggesting for information boundaries. Furthermore, were overall both task recognition memory, but not an independent, short-timescale perception Interestingly, could be independently by short Together, data suggest distinct mnemonic processes may influence long interval impair ability integrate memory.

Language: Английский

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Integration and competition between space and time in the hippocampus

Neuron, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 1, 2024

Language: Английский

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Generating event boundaries in memory without prediction error

Published: June 13, 2024

Continuous experiences are segmented into discrete long-term memories through the generation of event boundaries. A leading theory segmentation proposes that boundaries triggered by prediction errors caused unexpected stimuli. However, recent studies have raised doubts about whether error is necessary for segmentation. In this study, we tested an alternative account: in memory reflect temporal structure working during perception and can occur even absence error. experiment 1, participants were asked to detect repeats within sequences random images. The switch a new sequence could be predictable, with continuous display number images remaining each sequence, or unpredictable, no prior indication was end. We found boundary-related effects on order both cases, higher accuracy within-sequence comparisons when boundary between predictable. experiments 2a 2b, always performed either (event-related) repeat-detection task from 1 (non-event-related) 2-back task. observed event-boundary only event-related. Both these support segmentation, which critically related dynamics rather than

Language: Английский

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Stable sequential dynamics in prefrontal cortex represents subjective estimation of time

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

Published: Feb. 28, 2024

Abstract Time estimation is an essential prerequisite underlying various cognitive functions. Previous studies identified “sequential firing” and “activity ramps” as the primary neuron activity patterns in medial frontal cortex (mPFC) that could convey information regarding time. However, relationship between these timing behavior has not been fully understood. In this study, we utilized vivo calcium imaging of mPFC rats performing a task. We observed cells showed selective activation at trial start, end, or during interval. By aligning long-term time-lapse datasets, discovered sequential time coding were stable over weeks, while for start end constant dynamism. Furthermore, with novel design allowed animal to determine individual interval, able demonstrate real-time adjustment sequence procession speed closely tracked trial-to-trial interval variations. And errors rats’ can be primarily attributed premature ending sequence. Together, our data suggest maybe neural substrate thatrepresentstime under physiological conditions.Furthermore, results imply existence unique cell type participates time-related sequences. Future characterization provide important insights mechanism related

Language: Английский

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Synfire Chain Dynamics Unravelling Theta-nested Gamma Oscillations for Balancing Prediction and Dodge in Navigation

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

Published: March 4, 2024

Abstract Theta-nested gamma oscillations, widely observed in experiments, play a crucial role navigation, yet their functional roles and the origin of positive correlation between theta frequency motion velocity remain unclear. We propose that object’s survival relies on both prediction dodge – predicting future events staying alert to unpredictable ones, latter which has seldom been considered goal-navigation tasks. By building biologically plausible spiking neuronal network model reproducing experimental results, we leverage synfire chain properties length separation elucidate theta-nested oscillations: oscillations for self-location awareness, predictive capabilities coupling enhancing functionality. The is demonstrated optimally balance representing predictable planning unexpected events. Our study offers new avenue unravelling neural mechanisms navigation.

Language: Английский

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Stable sequential dynamics in prefrontal cortex represents subjective estimation of time

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

Published: May 28, 2024

Time estimation is an essential prerequisite underlying various cognitive functions. Previous studies identified ‘sequential firing’ and ‘activity ramps’ as the primary neuron activity patterns in medial frontal cortex (mPFC) that could convey information regarding time. However, relationship between these timing behavior has not been fully understood. In this study, we utilized vivo calcium imaging of mPFC rats performing a task. We observed cells showed selective activation at trial start, end, or during interval. By aligning long-term time-lapse datasets, discovered sequential time coding were stable over weeks, while for start end constant dynamism. Furthermore, with novel design allowed animal to determine individual interval, able demonstrate real-time adjustment sequence procession speed closely tracked trial-to-trial interval variations. And errors rats’ can be primarily attributed premature ending sequence. Together, our data suggest maybe neural substrate represents under physiological conditions. results imply existence unique cell type participates time-related sequences. Future characterization provide important insights mechanism related

Language: Английский

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Neural Heterogeneity Enhances Reliable Neural information Processing: Local Sensitivity and Globally Input-slaved Transient Dynamics

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

Published: June 30, 2024

Abstract Cortical neuronal activity varies over time and across repeated stimulation trials, yet consistently represents stimulus features. The dynamical mechanism underlying this reliable representation computation remains elusive. This study uncovers a that achieves neural information processing, leveraging biologically plausible network model with heterogeneity. We first investigate timescale diversity in computation, revealing it disrupts intrinsic coherent spatiotemporal patterns, enhances local sensitivity, aligns closely inputs. leads to sensitivity globally input-slaved transient dynamics, essential for processing. Other heterogeneities, such as non-uniform input connections spike threshold heterogeneity, plays similar roles, highlighting heterogeneity’s role shaping consistent representation. offers potentially general framework understanding heterogeneity informs the design of new reservoir computing models endowed liquid wave reservoirs neuromorphic computing. Teaser Neural aligning inputs

Language: Английский

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Stable sequential dynamics in prefrontal cortex represents subjective estimation of time

Published: Nov. 19, 2024

Time estimation is an essential prerequisite underlying various cognitive functions. Previous studies identified “sequential firing” and “activity ramps” as the primary neuron activity patterns in medial frontal cortex (mPFC) that could convey information regarding time. However, relationship between these timing behavior has not been fully understood. In this study, we utilized vivo calcium imaging of mPFC rats performing a task. We observed cells showed selective activation at trial start, end, or during interval. By aligning long-term time-lapse datasets, discovered sequential time coding were stable over weeks, while for start end constant dynamism. Furthermore, with novel design allowed animal to determine individual interval, able demonstrate real-time adjustment sequence procession speed closely tracked trial-to-trial interval variations. And errors rats’ can be primarily attributed premature ending sequence. Together, our data suggest maybe neural substrate thatrepresentstime under physiological conditions.Furthermore, results imply existence unique cell type participates time-related sequences. Future characterization provide important insights mechanism related

Language: Английский

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