HANDWRITTEN CHARACTER RECOGNITION SYSTEM USING ARTIFICIAL NEURAL NETWORKS
In this paper, a Handwritten Character Recognition system is designed using Multilayer Feedforward Articial Neural Networks. Backpropagation Learning algorithm is prefered for training of neural network.
Pelin GORGEL, Oguzhan OZTAS
doaj +2 more sources
Warfarin maintenance dose prediction for Chinese after heart valve replacement by a feedforward neural network with equal stratified sampling. [PDF]
Ma W +8 more
europepmc +1 more source
Reflex seizures and epilepsy surgery: A network approach case‐based exploration
Abstract Context Reflex seizures (RS) are defined by their consistent provocation by specific stimuli, encompassing a broad range from elementary sensory inputs to complex cognitive tasks. While RS are often encountered in clinical practice, their surgical management remains sparsely reported and poorly systematized.
Olivier Aron +6 more
wiley +1 more source
Hippocampal network activity changes during early epileptogenesis predict subsequent epilepsy
Abstract Objective Despite decades of research, the circuit mechanisms that underlie focal epileptogenesis remain incompletely understood. In this study, we aimed to characterize the changes in hippocampal network activity induced by an epileptogenic insult.
Michael Strüber +13 more
wiley +1 more source
Scn1a‐mediated developmental regulation of prefrontal cortex plasticity and cognition
Abstract Objective The voltage‐gated sodium channel Nav1.1, encoded by Scn1a, is essential for γ‐aminobutyric acid (GABA)ergic function, and its alteration is associated with neurological disorders such as Dravet syndrome and Alzheimer's disease. We previously demonstrated that local Nav1.1 dysfunction in the medial prefrontal cortex (mPFC) during ...
Maurizio S. Riga +5 more
wiley +1 more source
Training Feedforward Neural Network Using Enhanced Black Hole Algorithm: A Case Study on COVID-19 Related ACE2 Gene Expression Classification. [PDF]
Pashaei E, Pashaei E.
europepmc +1 more source
Abstract Theta oscillations (4–12 Hz) are a prominent network rhythm within hippocampal and parahippocampal structures. Driven by cholinergic and γ‐aminobutyric acidergic inputs originating from the medial septum, physiological theta gates network excitability to control spatial navigation, memory encoding, and sensorimotor integration during specific ...
Maxime Lévesque, Massimo Avoli
wiley +1 more source
A flexible piezoelectric tactile sensor array is developed by integrating polyvinylidene fluoride sensing elements with dual‐gate indium‐tin‐zinc oxide thin‐film transistor‐based pixel amplifiers. Direct coupling to the high‐impedance gate minimizes signal loss, enabling twofold voltage amplification and an extended effective relaxation time of ∼4.86 s
Tengteng Lei +4 more
wiley +1 more source
Lyapunov-based neural network model predictive control using metaheuristic optimization approach
This research introduces a new technique to control constrained nonlinear systems, named Lyapunov-based neural network model predictive control using a metaheuristic optimization approach.
Chafea Stiti +6 more
doaj +1 more source
Quasi‐2D perovskite memristors: From layered structures to advanced computing applications
Quasi‐2D perovskites enable stable memristive switching through dimensional engineering that controls ion migration pathways. The layered structure suppresses leakage, improves environmental stability, and enables analog conductance modulation for neuromorphic computing, artificial vision, and in‐memory architectures, transforming ion migration from a ...
Jie Ma, Yujian Du, Yuljae Cho
wiley +1 more source

