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Lighting up artificial neural networks

Scientists at the University of Oxford have developed an 'optomemristor' device that facilitates three-factor learning and emulation of biological computations, making it possible to perform complex machine learning tasks. The device uses both light and electrical signals to interact and consume very little energy.

SourceUniversity of Oxford·JournalNature Communications·TypeExperimental study·DateApr 26, 2022

Scientists discover how our circadian rhythm can be both strong and flexible

Researchers found that the master clock and slave clock operate via distinct molecular mechanisms, allowing for robustness and flexibility in regulating bodily rhythms. The master clock's ability to adapt to environmental changes enables quick adjustment to new time zones after international flights.

SourceInstitute for Basic Science·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateFeb 17, 2022

Singapore study using Alzheimer’s disease mouse model shows female brains have faster decline of connections between memory-making brain cells

A study using an Alzheimer's disease mouse model found that female brains experience a faster decay in information processing ability compared to male mice. This results in weaker memory formation and increased memory loss, contributing to the increased vulnerability of females to Alzheimer's disease.

SourceNanyang Technological University·JournalAging Cell·TypeExperimental study·DateFeb 16, 2022

UCI study reveals neurobiological processes occurring during puberty that trigger sex differences in learning and memory

Research finds prepubescent female rodents outperform males in hippocampal long-term potentiation and spatial learning, reversing after puberty. The study proposes optimal teaching strategies should adapt to brain differences between sexes during this critical life stage.

SourceUniversity of California - Irvine·JournalNature Neuroscience·TypeExperimental study·DateFeb 9, 2022

The free-energy principle explains the brain

Researchers at RIKEN CBS demonstrate that neural networks minimize energy cost and solve mazes efficiently, pointing to a set of universal mathematical rules. The findings will aid in analyzing impaired brain function and generating optimized neural networks for artificial intelligences.

SourceRIKEN·JournalCommunications Biology·DateJan 14, 2022

When algorithms get creative

Researchers at the University of Bern have developed an approach called 'evolving-to-learn' (E2L) that enables computers to discover mechanisms of synaptic plasticity, leading to improved learning capabilities. The algorithm was tested in three scenarios and successfully solved new tasks by mimicking biological evolution.

SourceUniversity of Bern·JournaleLife·TypeComputational simulation/modeling·DateNov 10, 2021

Novel approach reverses amblyopia in animals

A new study demonstrates that temporarily anesthetizing the retina of the non-amblyopic eye can lastingly improve vision in the amblyopic eye even after the critical period. The approach has shown promising results in two different mammal species, offering a potential pathway for a new and more effective treatment for amblyopia.

SourcePicower Institute at MIT·JournaleLife·TypeExperimental study·DateSep 1, 2021

Mutated enzyme weakens connection between brain cells that help control movement

Researchers found a mutation in ELOVL4 enzyme impairs communication between neurons, leading to impaired motor control and coordination. The study provides new insights into the essential role of ELOVL4 in motor function and synaptic plasticity, suggesting potential therapeutic strategies for patients with spinocerebellar ataxia.

SourceMedical College of Georgia at Augusta University·JournalMolecular Neurobiology·DateAug 17, 2021

Scientists reverse age-related memory loss in mice

Researchers at the University of Cambridge and University of Leeds successfully reversed age-related memory loss in mice by manipulating the extracellular matrix of the brain. By restoring the balance of compounds known as chondroitin sulphates, they were able to restore neuroplasticity and alleviate memory deficits.

SourceUniversity of Cambridge·JournalMolecular Psychiatry·DateJul 22, 2021

Highly specific synaptic plasticity in addiction

A new study reveals that specific enzymes outside medium spiny neurons contribute to addiction plasticity, driving drug-seeking and extinction behaviors. The discovery highlights the importance of extracellular matrix remodeling in addiction and suggests novel molecules as potential targets for treatment.

SourceElsevier·JournalBiological Psychiatry·DateJan 26, 2021

Unlocking the mysteries of the brain

A study by the University of Montreal has revealed the rules of synaptic plasticity, a process underlying learning and memory. The research found that dendritic spines, tiny protrusions on neurons, amplify or suppress incoming information based on its strength.

SourceUniversity of Montreal·JournalNature Communications·DateAug 26, 2020

UMass Amherst biologists zero in on cells' environmental sensing mechanism

Researchers at UMass Amherst have identified a key protein component of the Hedgehog signaling pathway as an important player in phenotypic plasticity, allowing cells to sense and respond to environmental inputs. This finding provides insights into how genes and environment interact to shape anatomical traits.

SourceUniversity of Massachusetts Amherst·JournalProceedings of the National Academy of Sciences·DateJul 28, 2020

Older beetle parents 'less flexible'

Researchers found that younger females adapt their reproductive strategy based on the size of the carcass available, while older females consistently put high effort into reproduction. This age-dependent plasticity in parental care allows younger beetles to conserve resources for future reproductive opportunities.

SourceUniversity of Exeter·JournalAnimal Behaviour·DateMar 6, 2020

Dendrites filtering neuron's excitement

Researchers at Kyoto University discovered that Purkinje cell dendrites can filter and modulate incoming signals, enabling new learning mechanisms in the cerebellum. This finding provides insight into the brain's ability to modify itself and change signaling properties.