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Reverse engineering the cognitive brain

Proceedings of the National Academy of Sciences - PNAS, 2013-09, Vol.110 (39), p.15512-15513

Cauwenberghs, Gert

2013

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Deep Supervised Learning Using Local Errors

Frontiers in neuroscience, 2018-08, Vol.12, p.608-608

2018

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A compute-in-memory chip based on resistive random-access memory

Nature (London), 2022-08, Vol.608 (7923), p.504-512

2022

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Dry-Contact and Noncontact Biopotential Electrodes: Methodological Review

IEEE reviews in biomedical engineering, 2010, Vol.3 (1), p.106-119

2010

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Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain

Frontiers in neuroscience, 2018-12, Vol.12, p.891-891

2018

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Dry and Noncontact EEG Sensors for Mobile Brain-Computer Interfaces

IEEE transactions on neural systems and rehabilitation engineering, 2012-03, Vol.20 (2), p.228-235

2012

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Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines

Frontiers in neuroscience, 2016-06, Vol.10, p.241-241

2016

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A 22-pJ/spike 73-Mspikes/s 130k-compartment neural array transceiver with conductance-based synaptic and membrane dynamics

Frontiers in neuroscience, 2023-08, Vol.17, p.1198306

2023

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Spatial encoding in primate hippocampus during free navigation

PLoS biology, 2019-12, Vol.17 (12), p.e3000546-e3000546

2019

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Sub-Microwatt Analog VLSI Trainable Pattern Classifier

IEEE journal of solid-state circuits, 2007-05, Vol.42 (5), p.1169-1179

2007

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Integrated Circuits and Electrode Interfaces for Noninvasive Physiological Monitoring

IEEE transactions on biomedical engineering, 2014-05, Vol.61 (5), p.1522-1537

2014

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Multi-level, forming and filament free, bulk switching trilayer RRAM for neuromorphic computing at the edge

Nature communications, 2024-04, Vol.15 (1), p.3492-3492, Article 3492

2024

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Stimulus Design for Visual Evoked Potential Based Brain-Computer Interfaces

IEEE transactions on neural systems and rehabilitation engineering, 2023-01, Vol.31, p.1-1

2023

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Ultra-High Input Impedance, Low Noise Integrated Amplifier for Noncontact Biopotential Sensing

IEEE journal on emerging and selected topics in circuits and systems, 2011-12, Vol.1 (4), p.526-535

2011

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Markov Chain Abstractions of Electrochemical Reaction-Diffusion in Synaptic Transmission for Neuromorphic Computing

Frontiers in neuroscience, 2021-11, Vol.15, p.698635-698635

2021

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Hardware-Efficient On-line Learning through Pipelined Truncated-Error Backpropagation in Binary-State Networks

Frontiers in neuroscience, 2017-09, Vol.11, p.496-496

2017

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Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning

Frontiers in neuroscience, 2018-08, Vol.12, p.583-583

2018

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Hierarchical Network Connectivity and Partitioning for Reconfigurable Large-Scale Neuromorphic Systems

Frontiers in neuroscience, 2022-01, Vol.15, p.797654-797654

2022

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Characterization of Ag/AgCl Dry Electrodes for Wearable Electrophysiological Sensing

Frontiers in electronics (Online), 2022-01, Vol.2

2022

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High-Density Integrated Electrocortical Neural Interfaces: Low-Noise Low-Power System-On-Chip Design Methodology

1, 2019

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Rapid determination of particle velocity from space-time images using the Radon transform

Journal of computational neuroscience, 2010-08, Vol.29 (1-2), p.5-11

2010

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EEG-Based Quantification of Cortical Current Density and Dynamic Causal Connectivity Generalized across Subjects Performing BCI-Monitored Cognitive Tasks

Frontiers in neuroscience, 2017-05, Vol.11, p.180-180

2017

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Memristor-based neural networks: Synaptic versus neuronal stochasticity

AIP advances, 2016-11, Vol.6 (11), p.111304-111304-7

2016

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Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity

Frontiers in neuroscience, 2019-04, Vol.13, p.357-357

2019

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Closed-Loop Brain–Machine–Body Interfaces for Noninvasive Rehabilitation of Movement Disorders

Annals of biomedical engineering, 2014-08, Vol.42 (8), p.1573-1593

2014

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Reverse engineering the cognitive brain

Deep Supervised Learning Using Local Errors

A compute-in-memory chip based on resistive random-access memory

Dry-Contact and Noncontact Biopotential Electrodes: Methodological Review

Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain

Dry and Noncontact EEG Sensors for Mobile Brain-Computer Interfaces

Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines

A 22-pJ/spike 73-Mspikes/s 130k-compartment neural array transceiver with conductance-based synaptic and membrane dynamics

Spatial encoding in primate hippocampus during free navigation

Sub-Microwatt Analog VLSI Trainable Pattern Classifier

Integrated Circuits and Electrode Interfaces for Noninvasive Physiological Monitoring

Multi-level, forming and filament free, bulk switching trilayer RRAM for neuromorphic computing at the edge

Stimulus Design for Visual Evoked Potential Based Brain-Computer Interfaces

Ultra-High Input Impedance, Low Noise Integrated Amplifier for Noncontact Biopotential Sensing

Markov Chain Abstractions of Electrochemical Reaction-Diffusion in Synaptic Transmission for Neuromorphic Computing

Hardware-Efficient On-line Learning through Pipelined Truncated-Error Backpropagation in Binary-State Networks

Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning

Hierarchical Network Connectivity and Partitioning for Reconfigurable Large-Scale Neuromorphic Systems

Characterization of Ag/AgCl Dry Electrodes for Wearable Electrophysiological Sensing

High-Density Integrated Electrocortical Neural Interfaces: Low-Noise Low-Power System-On-Chip Design Methodology

Rapid determination of particle velocity from space-time images using the Radon transform

EEG-Based Quantification of Cortical Current Density and Dynamic Causal Connectivity Generalized across Subjects Performing BCI-Monitored Cognitive Tasks

Memristor-based neural networks: Synaptic versus neuronal stochasticity

Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity

Closed-Loop Brain–Machine–Body Interfaces for Noninvasive Rehabilitation of Movement Disorders

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