Articles

Efficient training of spiking neural networks with temporally-truncated local backpropagation through time

in Neuromorphic Engineering

• Wenzhe Guo
• Mohammed E. Fouda
• Ahmed M. Eltawil
• Khaled Nabil Salama

EXODUS: Stable and efficient training of spiking neural networks

in Neuromorphic Engineering

• Felix C. Bauer
• Gregor Lenz
• Saeid Haghighatshoar
• Sadique Sheik

Chip-In-Loop SNN Proxy Learning: a new method for efficient training of spiking neural networks

in Neuromorphic Engineering

• Yuhang Liu
• Tingyu Liu
• Yalun Hu
• Wei Liao
• Yannan Xing
• Sadique Sheik
• Ning Qiao

Must Clinics Replace 2D by 3D Environments for an Efficient Training of Laparoscopic Novices? A Critical Analysis of the Learning Curve for Basic Skills

in Visceral Surgery

• Maik Sahm
• Clara Danzer
• Alexis Leonhard Grimm
• Christian Herrmann
• Rene Mantke

Training Efficiency and Transfer Success in an Extended Real-Time Functional MRI Neurofeedback Training of the Somatomotor Cortex of Healthy Subjects

in Motor Neuroscience

• Tibor Auer
• Renate Schweizer
• Jens Frahm

Teachers’ perceptions on introducing sensitive and controversial issues in the classroom

in Teacher Education

• Christiana Karousiou
• Maria Vrikki
• Maria Evagorou

Towards a More Efficient Training Process in High-Level Female Volleyball From a Match Analysis Intervention Program Based on the Constraint-Led Approach: The Voice of the Players

in Movement Science

• Carmen Fernández-Echeverría
• Isabel Mesquita
• Jara González-Silva
• M. Perla Moreno

Research on reinforcement learning-based safe decision-making methodology for multiple unmanned aerial vehicles

• Longfei Yue
• Rennong Yang
• Ying Zhang
• Jialiang Zuo

Emulating quantum dynamics with neural networks via knowledge distillation

in Computational Materials Science

• Yu Yao
• Chao Cao
• Stephan Haas
• Mahak Agarwal
• Divyam Khanna
• Marcin Abram

The usability of virtual reality to train individuals in responding to behaviors related to dementia

in Dementia Care

• Linda Garcia
• Annie Robitaille
• Stéphane Bouchard
• Marie-Christine Rivard
• Lynn McCleary

Vascular Dynamics Aid a Coupled Neurovascular Network Learn Sparse Independent Features: A Computational Model

• Ryan T. Philips
• Karishma Chhabria
• V. Srinivasa Chakravarthy

Features that hindered the capacity development of a national prostate cancer service

in Health System Economics and Financing

• Ashleigh Lauren Ward
• Susanne Cruickshank
• Liz Forbat

Implicit Teacher Theories Regarding the Argumentative Commentary of Multimodal Texts in the Teaching of Spanish as a Native and Foreign Language

in Educational Psychology

• María Teresa Caro Valverde
• José Manuel de Amo Sánchez-Fortún
• Juana Celia Domínguez-Oller

Cross-subject mapping of neural activity with restricted Boltzmann machines

• Haoming Yang
• Marko Angjelichinoski
• Suya Wu
• Joy Putney
• Simon Sponberg
• Vahid Tarokh

Effective methods and framework for energy-based local learning of deep neural networks

in Machine Learning and Artificial Intelligence

• Haibo Chen
• Bangcheng Yang
• Fucun He
• Fei Zhou
• Shuai Chen
• Chunpeng Wu
• Fan Li
• Yansong Chua

End-to-end 3D instance segmentation of synthetic data and embryo microscopy images with a 3D Mask R-CNN

in Computational BioImaging

• Gabriel David
• Emmanuel Faure