Results 111 to 120 of about 2,017,547 (269)
A new class of lysosome‐directed molecular glue degraders selectively enhance CAPRIN1–APP interactions, driving APP degradation and reducing amyloid‐β production in human neurons and Alzheimer's disease mouse models. This CAPRIN1‐dependent targeted protein degradation strategy reveals a previously unrecognized therapeutic approach for disrupting the ...
Sunghan Jung +15 more
wiley +1 more source
Adult human organotypic cortical slices undergo marked neuronal loss, laminar disruption, and glial activation, yet their network activity progressively stabilizes after a variable period. Electrophysiology, longitudinal calcium imaging, and quantitative histology show that structurally remodeled human circuits show adaptive capacity resulting in ...
Estilla Zsófia Tóth +20 more
wiley +1 more source
Integrating model development across computational neuroscience, cognitive science, and machine learning. [PDF]
Gleeson P +6 more
europepmc +1 more source
Autism spectrum disorder is a complex and diverse neurobiological condition. Understanding the mechanisms and causes of the disorder requires an in-depth study and modeling of the immune, mitochondrial, and neurological systems.
Pantelis Pergantis +3 more
core +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Lecture 1: Introduction to computational neuroscience
Computational neuroscience is the study of information processing in the brain by modeling the nervous system at different structural scales. It is an interdisciplinary science that links diverse fields of neurobiology, psychology and cognitive science ...
Yim, MY
core
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
Desynchronization (computational neuroscience)
Oleksandr V. Popovych +2 more
openaire +2 more sources

