Results 21 to 30 of about 120,010 (245)

Learning to select actions with spiking neurons in the basal ganglia

Frontiers in Neuroscience, 2012
We expand our existing spiking neuron model of decision making in the cortex and basal ganglia to include local learning on the synaptic connections between the cortex and striatum, modulated by a dopaminergic reward signal.
Terrence C Stewart, Trevor eBekolay, Chris eEliasmith   +2 more
doaj   +1 more source

Obtaining Arbitrary Prescribed Mean Field Dynamics for Recurrently Coupled Networks of Type-I Spiking Neurons with Analytically Determined Weights

Frontiers in Computational Neuroscience, 2016
A fundamental question in computational neuroscience is how to connect a network of spiking neurons to produce desired macroscopic or mean field dynamics. One possible approach is through the Neural Engineering Framework (NEF).
Wilten eNicola, Bryan eTripp, Matthew eScott   +2 more
doaj   +1 more source

Nengo: A Python tool for building large-scale functional brain models

Frontiers in Neuroinformatics, 2014
Neuroscience currently lacks a comprehensive theory of how cognitive processes can be implemented in a biological substrate. The Neural Engineering Framework (NEF) proposes one such theory, but has not yet gathered significant empirical support, partly ...
Trevor eBekolay, James eBergstra, Eric eHunsberger, Travis eDeWolf, Terrence C Stewart, Daniel eRasmussen, Xuan eChoo, Aaron eVoelker, Chris eEliasmith   +8 more
doaj   +1 more source

Collagen for neural tissue engineering: Materials, strategies, and challenges

Materials Today Bio, 2023
Neural tissue engineering (NTE) has made remarkable strides in recent years and holds great promise for treating several devastating neurological disorders.
Wen-Hui Huang, Sheng-Long Ding, Xi-Yuan Zhao, Kai Li, Hai-Tao Guo, Ming-Zhu Zhang, Qi Gu   +6 more
doaj   +1 more source

A neuromorphic hardware architecture using the Neural Engineering Framework for pattern recognition

CoRR, 2015
We present a hardware architecture that uses the Neural Engineering Framework (NEF) to implement large-scale neural networks on Field Programmable Gate Arrays (FPGAs) for performing pattern recognition in real time. NEF is a framework that is capable of synthesising large-scale cognitive systems from subnetworks.
Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, André van Schaik   +4 more
openaire   +2 more sources

Real-time prediction of gas flow dynamics in diesel engines using a deep neural operator framework

Applied Intelligence, 2023
We develop a data-driven deep neural operator framework to approximate multiple output states for a diesel engine and generate real-time predictions with reasonable accuracy. As emission norms become more stringent, the need for fast and accurate models that enable analysis of system behavior have become an essential requirement for system development.
Varun Kumar, Somdatta Goswami, Daniel Smith, George Em Karniadakis   +3 more
openaire   +2 more sources

A New Neural Network Framework Integrating Symbolic Computation to Solve the (2+1)-Dimensional Boussinesq Equation

Mathematics
The (2+1)-dimensional Boussinesq equation is a fundamental model in nonlinear wave theory, governing shallow-water wave propagation, coastal dynamics in ocean engineering, and long waves in geophysical fluid systems such as atmospheric and oceanic ...
Jing-Bin Liang, Bao-Ying Du, Xia Li, Jiang-Long Shen   +3 more
doaj   +1 more source

Automated conversion of engineering rules: Towards flexible manufacturing collaboration

Results in Engineering, 2022
Rapid on-demand manufacturing resource sharing within and between factories are critical to achieving responsive autonomous manufacturing collaborations towards mass personalization.
Xinfeng Ye, Yuqian Lu, Sathiamoorthy Manoharan   +2 more
doaj   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source