Evolving spiking neural networks: the role of neuron models and encoding schemes in neuromorphic learning. [PDF]
Loyola-Jara B +2 more
europepmc +1 more source
Hypothalamic Control of Liver Health and Disease: From Circuits to Pathophysiology and Therapies
This review delineates the hypothalamic circuits that control liver homeostasis via autonomic and neuroendocrine pathways. Dysregulation of this hypothalamus–liver axis drives disease progression across a spectrum including steatotic liver disease, liver inflammation and injury, fibrosis, cirrhosis, and hepatocellular carcinoma.
Qin Tang +7 more
wiley +1 more source
PS-SNN: pattern separation learning for expandable spiking neural networks in class-incremental learning. [PDF]
Hu K, Wen L, Zhang T, Zhang H.
europepmc +1 more source
Primary cultures of neuroblasts isolated from the nucleus basalis of Meynert of 12‐weeks‐old human foetuses were prepared. Whole‐cell patch‐clamp recordings were performed by injecting a depolarizing stimulus current (+500 pA; 500 ms), and the membrane voltage recorded; this stimulus current evoked periodic‐like oscillations in membrane voltage ...
Elisabetta Coppi +9 more
wiley +1 more source
Frontal lobe traumatic brain injury is associated with hyperactivity of an insular–orbitofrontal circuit in both patients and mice. By combination of integrating functional imaging, cell‐type–specific circuit manipulation, single‐cell transcriptomics, and whole‐cell recordings, this work identifies the downregulation of the potassium channel KCNC3 in ...
Meng‐Ge Li +10 more
wiley +1 more source
Electrophysiologically informed spiking neural networks for fish-inspired navigation with boundary vector cells and hydrostatic pressure cues. [PDF]
Cohen L, Duwek HC, Ezra Tsur E.
europepmc +1 more source
CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction
CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su +5 more
wiley +1 more source
Neural heterogeneity as a unifying mechanism for efficient learning in spiking neural networks. [PDF]
Zhang F, Cui J.
europepmc +1 more source
Neuromodulation strategies are increasingly needed to stimulate, restore, or replace altered neuronal activity in disease. Cobalt ferrite‐barium titanate (CFO–BTO) magnetoelectric nanoparticles convert low‐intensity static magnetic fields into local electrical modulation of cortical networks.
Nathalia Cancino‐Fuentes +13 more
wiley +1 more source
Spiking neural networks provide accurate and time-efficient models for whisker stimulus classification of the awake mouse. [PDF]
Albrecht S +7 more
europepmc +1 more source

