Jonathan Tapson

Recent advances in physical reservoir computing: A review

Chest electrical impedance tomography examination, data analysis, terminology, clinical use and recommendations: consensus statement of the TRanslational EIT developmeNt stuDy group

Patient examinations using electrical impedance tomography—sources of interference in the intensive care unit

Finding a roadmap to achieve large neuromorphic hardware systems

Reinforcement Learning, Fast and Slow

Neuromorphic sensory systems

Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines

Pursuing prosthetic electronic skin

Neuroscience-Inspired Artificial Intelligence

Training and operation of an integrated neuromorphic network based on metal-oxide memristors

Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey

An innovative nonintrusive driver assistance system for vital signal monitoring

A million spiking-neuron integrated circuit with a scalable communication network and interface

Driver Fatigue Detection Systems: A Review

A Survey of Control Issues in Nanopositioning

Memristors for Energy‐Efficient New Computing Paradigms

The future of electronics based on memristive systems

The resonant behavior of segmented piezoceramic tubes

Physical unclonable functions

Noise as a Resource for Computation and Learning in Networks of Spiking Neurons

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences

In-memory computing with resistive switching devices

TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip

A survey of deep neural network architectures and their applications

Power analysis of large-scale, real-time neural networks on SpiNNaker

Randomness in neural networks: an overview

Stochastic Memory Devices for Security and Computing

Memory and Information Processing in Neuromorphic Systems

Towards an integration of deep learning and neuroscience

Learning the pseudoinverse solution to network weights

An FPGA Implementation of a Polychronous Spiking Neural Network with Delay Adaptation

Skimming Digits: Neuromorphic Classification of Spike-Encoded Images

Towards true unipolar bio-potential recording: a preliminary result for ECG

Bayesian Estimation and Inference Using Stochastic Electronics

An Active 2-D Silicon Cochlea

Improved capacitance measurement by means of resonance locking

Live Demo: Spiking ratSLAM: Rat hippocampus cells in spiking neural hardware

Stochastic Electronics: A Neuro-Inspired Design Paradigm for Integrated Circuits

Spread spectrum EIT by code division multiplexing

Neuromorphic Hardware Architecture Using the Neural Engineering Framework for Pattern Recognition