[HTML][HTML] Dendrites and efficiency: Optimizing performance and resource utilization

R Makarov, M Pagkalos, P Poirazi - Current opinion in neurobiology, 2023 - Elsevier
The brain is a highly efficient system that has evolved to optimize performance under limited
resources. In this review, we highlight recent theoretical and experimental studies that …

Miniscope-LFOV: a large-field-of-view, single-cell-resolution, miniature microscope for wired and wire-free imaging of neural dynamics in freely behaving animals

C Guo, GJ Blair, M Sehgal, FN Sangiuliano Jimka… - Science …, 2023 - science.org
Imaging large-population, single-cell fluorescent dynamics in freely behaving animals larger
than mice remains a key endeavor of neuroscience. We present a large-field-of-view open …

Engram mechanisms of memory linking and identity

A Choucry, M Nomoto, K Inokuchi - Nature Reviews Neuroscience, 2024 - nature.com
Memories are thought to be stored in neuronal ensembles referred to as engrams. Studies
have suggested that when two memories occur in quick succession, a proportion of their …

The dendritic engram

G Kastellakis, S Tasciotti, I Pandi… - Frontiers in Behavioral …, 2023 - frontiersin.org
Accumulating evidence from a wide range of studies, including behavioral, cellular,
molecular and computational findings, support a key role of dendrites in the encoding and …

Intrinsic neural excitability biases allocation and overlap of memory engrams

G Delamare, DF Tomé, C Clopath - Journal of Neuroscience, 2024 - Soc Neuroscience
Memories are thought to be stored in neural ensembles known as engrams that are
specifically reactivated during memory recall. Recent studies have found that memory …

[HTML][HTML] Integrating and fragmenting memories under stress and alcohol

KB Loetscher, EV Goldfarb - Neurobiology of Stress, 2024 - Elsevier
Stress can powerfully influence the way we form memories, particularly the extent to which
they are integrated or situated within an underlying spatiotemporal and broader knowledge …

Synaptic turnover promotes efficient learning in bio-realistic spiking neural networks

N Malakasis, S Chavlis, P Poirazi - 2023 57th Asilomar …, 2023 - ieeexplore.ieee.org
While artificial machine learning systems achieve superhuman performance in tasks such as
language processing and image/video recognition, they do so using extremely large …