Brain-inspired spiking neural networks for decoding and understanding muscle activity and kinematics from electroencephalography signals during hand movements

A Framework for Intelligence and Cortical Function Based on Grid Cells in the Neocortex

(2019) Jeff Hawkins et al.   Frontiers in Neural Circuits

Deep learning and deep knowledge representation in Spiking Neural Networks for Brain-Computer Interfaces

(2019) Kaushalya Kumarasinghe et al.   NEURAL NETWORKS

Artificial Intelligence in the Rising Wave of Deep Learning: The Historical Path and Future Outlook [Perspectives]

(2018) Li Deng   IEEE SIGNAL PROCESSING MAGAZINE

Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function

(2017) Michael W. Reimann et al.   Frontiers in Computational Neuroscience

New Algorithms for Encoding, Learning and Classification of fMRI Data in a Spiking Neural Network Architecture: A Case on Modeling and Understanding of Dynamic Cognitive Processes

(2017) Nikola Kasabov et al.   IEEE Transactions on Cognitive and Developmental Systems

Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness

(2017) Michiru Nishita et al.   Scientific Reports

EEG topographies provide subject-specific correlates of motor control

(2017) Elvira Pirondini et al.   Scientific Reports

Brain-inspired computing

(2016) Steve B. Furber   IET Computers and Digital Techniques

Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications

(2016) Nikola Kasabov et al.   NEURAL NETWORKS

Deep learning

(2015) Yann LeCun et al.   NATURE

NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data

(2014) Nikola K. Kasabov   NEURAL NETWORKS

Multi-channel EEG recordings during 3,936 grasp and lift trials with varying weight and friction

(2014) Matthew D Luciw et al.   Scientific Data

SPAN: SPIKE PATTERN ASSOCIATION NEURON FOR LEARNING SPATIO-TEMPORAL SPIKE PATTERNS

(2012) AMMAR MOHEMMED et al.   International Journal of Neural Systems

Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition

(2012) Nikola Kasabov et al.   NEURAL NETWORKS

Training spiking neural networks to associate spatio-temporal input–output spike patterns

(2012) Ammar Mohemmed et al.   NEUROCOMPUTING

The Human Brain Project

(2012) Henry Markram   SCIENTIFIC AMERICAN

ADJUST: An automatic EEG artifact detector based on the joint use of spatial and temporal features

(2010) Andrea Mognon et al.   PSYCHOPHYSIOLOGY

Complex brain networks: graph theoretical analysis of structural and functional systems

(2009) Ed Bullmore et al.   NATURE REVIEWS NEUROSCIENCE

Prediction of arm movement trajectories from ECoG-recordings in humans

(2007) Tobias Pistohl et al.   JOURNAL OF NEUROSCIENCE METHODS