How neural systems transform synaptic plasticity into behavioral learning DOI Creative Commons
Stephen G. Lisberger

Proceedings of the National Academy of Sciences, Год журнала: 2024, Номер 121(45)

Опубликована: Окт. 28, 2024

Язык: Английский

Lyapunov theory demonstrating a fundamental limit on the speed of systems consolidation DOI Creative Commons
Alireza Alemi, Emre Aksay, Mark S. Goldman

и другие.

Physical Review Research, Год журнала: 2025, Номер 7(2)

Опубликована: Май 21, 2025

Physical Review Research . The nervous system reorganizes memories from an early site to a late site, commonly observed feature of learning and memory systems known as consolidation. Previous work has suggested rules by which consolidation may occur. Here, we provide conditions under such are guaranteed lead stable convergence We use the theory Lyapunov functions, enforces stability requiring decrease energy-like (Lyapunov) function. present in context simple circuit architecture motivated classic models cerebellum-mediated Stability is only if rate stage not faster than stage. Further, slower at stage, larger perturbation can tolerate with guarantee stability. intuition for this result mapping example model damped driven oscillator showing that ratio early- late-stage rates be directly identified oscillator's damping ratio. then apply modeling tuning cerebellum well-characterized analog short-term system, oculomotor neural integrator, find similar conditions. This suggests power approach constraints on Published American Society 2025

Язык: Английский

Процитировано

0

Radiation symptoms resemble laminopathies and the physical underlying cause may sit at the lamin A C-terminus DOI Creative Commons

A Waldherr,

Anna Fogtman

Molecular Medicine, Год журнала: 2025, Номер 31(1)

Опубликована: Фев. 20, 2025

Ionizing radiation causes three divergent effects in the human body: On one side, tissue death (= deterministic effects) sets on, on other mutations and cancer growth stochastic can occur. In recent years, additional phenomenon of accelerated aging has come to light. following, we argue that these seemingly contradictory responses namely: (i) increased growth, (ii) ablation or (iii) senescence, share an underlying cause from damage at lamin A C-terminus. words, besides typically described genomic impact, propose destabilization pathway via oxidation nuclear envelope. We five concrete hypotheses draw a direct mechanistic model cellular oxidative stress, micronuclei clinical symptoms. conjunction with B compensation, might be able explain why dominate. If our holds true, novel target for radiotherapeutics radiooncology arises, rationale closer connect laminopathy radioprotection research.

Язык: Английский

Процитировано

0

Linking cellular-level phenomena to brain architecture: the case of spiking cerebellar controllers DOI Creative Commons
Egidio D’Angelo, Alberto Antonietti, Alice Geminiani

и другие.

Neural Networks, Год журнала: 2025, Номер 188, С. 107538 - 107538

Опубликована: Апрель 23, 2025

Linking cellular-level phenomena to brain architecture and behavior is a holy grail for theoretical computational neuroscience. Advances in neuroinformatics have recently allowed scientists embed spiking neural networks of the cerebellum with realistic neuron models multiple synaptic plasticity rules into sensorimotor controllers. By minimizing distance (error) between desired actual sensory state, exploiting prediction, cerebellar network acquires knowledge about body-environment interaction generates corrective signals. In doing so, implements generalized algorithm, allowing it "to learn predict timing correlated events" rich set behavioral contexts. Plastic changes evolve trial by are distributed over synapses, regulating neuronal discharge fine-tuning high-speed movements on millisecond timescale. Thus, built-in controllers, among various approaches studying function, helping reveal substrates learning signal coding, opening new frontiers predictive computing autonomous robots.

Язык: Английский

Процитировано

0

How neural systems transform synaptic plasticity into behavioral learning DOI Creative Commons
Stephen G. Lisberger

Proceedings of the National Academy of Sciences, Год журнала: 2024, Номер 121(45)

Опубликована: Окт. 28, 2024

Язык: Английский

Процитировано

1