Results 141 to 150 of about 126,855 (275)

Cavity Microelectrode Arrays for Electrical Recordings From Neurons

Advanced Electronic Materials, EarlyView.
Microelectrode arrays (MEAs) are used to study electrophysiological activity. However, their signals are small with high noise. By adding a 100‐nanometer‐high cavity above the electrode, which reduces impedance without affecting resolution, we improve signal quality.
Johannes Lewen, Bernhard Wolfrum, Andreas Offenhäusser   +2 more
wiley   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
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, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

Computational Neuroscience Approach to Psychiatry: A Review on Theory-driven Approaches. [PDF]

Clin Psychopharmacol Neurosci, 2022
Khaleghi A, Mohammadi MR, Shahi K, Nasrabadi AM.   +3 more
europepmc   +1 more source

Desynchronization (computational neuroscience)

Scholarpedia, 2011
Oleksandr V. Popovych, Peter A. Tass, Christian Hauptmann   +2 more
openaire   +1 more source

Scaling up the Evaluation of Recurrent Neural Network Models for Cognitive Neuroscience

, 2022
Li, Moufan, Moufan Li, Guangyu Robert Yang, Nathan Cloos, Cueva, Christopher J, Cloos, Nathan, Christopher J. Cueva, Yang, Guangyu Robert   +7 more
core   +1 more source

COMPUTATIONAL NEUROSCIENCE: A BRIEF OVERVIEW

, 2008
Computational and mathematical modeling is an increasingly useful approach for investigating the functionality of the nervous system. Though such modeling has been used for decades, recent advances in computational power and numerical techniques have ...
Ali A. Minai
core  

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
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, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

Frontiers in Human Neuroscience

, 2013
Frontiers in Human Neuroscience is a first-tier electronic journal devoted to understanding the brain mechanisms supporting cognitive and social behavior in humans, and how these mechanisms might be altered in disease states.
AVENANTI, ALESSIO
core  

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source