Segregation-to-Integration Transformation Model of Memory Evolution DOI Creative Commons
Luz Bavassi, Lluís Fuentemilla

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Дек. 5, 2023

A bstract Memories are thought to use coding schemes that dynamically adjust their representational structure maximize both persistence and utility. However, the nature of these scheme adjustments impact on temporal evolution memory after initial encoding is unclear. Here we introduce Segregation-to-Integration Transformation (SIT) Model, a neural network formalization offers unified account how transformed over time. SIT Model asserts memories initially adopt highly modular or segregated structure, functioning as an optimal storage buffer by striking balance between protection from disruptions accommodating substantial information. Over time, repeated combination reactivations, spreading, synaptic plasticity transforms into integrated form, facilitating intercommunity spreading fostering generalization. In addition, reveals existence window during this transformation where most susceptible malleability, suggesting non-linear inverted U-shaped function in evolution. The results our model integrate wide range experimental phenomena along with accounts consolidation reconsolidation, offering unique perspective leveraging simple architectural property rules.

Язык: Английский

If engrams are the answer, what is the question? DOI Open Access

Fionn M O'Sullivan,

Tomás J. Ryan

Опубликована: Окт. 5, 2023

Engram labelling and manipulation methodologies are now a staple of contemporary neuroscientific practice, giving the impression that physical basis engrams has been discovered. Despite enormous progress, have not clearly identified, it is unclear what they should looklike. There an epistemic bias in engram neuroscience towards characterising biological changes,while neglecting development theory. However, tools biology excitingprecisely because just incremental step forward understanding mechanisms ofplasticity learning, but can be leveraged to inform theory on one fundamental mysteries neuroscience—how format brain stores information. We do propose such here, as we first require appreciation for lacking. outline selection ofissues four sections from theoretical philosophy systems generally engage with order construct useful future frameworks.Specifically, supposed explain? How different building blocks brain-wide come together? What exactly these component parts? And information carry, if carry anything at all? Asking questions purely privilege philosophy, key informing scientific hypotheses make most experimental our disposal. The risk engaging issues high. Without are, do, wider computational processes fit into, may never know when found.

Язык: Английский

Процитировано

1

Segregation-to-Integration Transformation Model of Memory Evolution DOI Creative Commons
Luz Bavassi, Lluís Fuentemilla

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Дек. 5, 2023

A bstract Memories are thought to use coding schemes that dynamically adjust their representational structure maximize both persistence and utility. However, the nature of these scheme adjustments impact on temporal evolution memory after initial encoding is unclear. Here we introduce Segregation-to-Integration Transformation (SIT) Model, a neural network formalization offers unified account how transformed over time. SIT Model asserts memories initially adopt highly modular or segregated structure, functioning as an optimal storage buffer by striking balance between protection from disruptions accommodating substantial information. Over time, repeated combination reactivations, spreading, synaptic plasticity transforms into integrated form, facilitating intercommunity spreading fostering generalization. In addition, reveals existence window during this transformation where most susceptible malleability, suggesting non-linear inverted U-shaped function in evolution. The results our model integrate wide range experimental phenomena along with accounts consolidation reconsolidation, offering unique perspective leveraging simple architectural property rules.

Язык: Английский

Процитировано

0