State-of-the-art MEMS and microsystem tools for brain research

JP Seymour, F Wu, KD Wise, E Yoon - Microsystems & …, 2017 - nature.com
Mapping brain activity has received growing worldwide interest because it is expected to
improve disease treatment and allow for the development of important neuromorphic …

NeuroMEMS: neural probe microtechnologies

M HajjHassan, V Chodavarapu, S Musallam - Sensors, 2008 - mdpi.com
Neural probe technologies have already had a significant positive effect on our
understanding of the brain by revealing the functioning of networks of biological neurons …

Tutorial: Concepts for closely mimicking biological learning with memristive devices: Principles to emulate cellular forms of learning

M Ziegler, C Wenger, E Chicca… - Journal of Applied Physics, 2018 - pubs.aip.org
The basic building blocks of every neural network are neurons and their inter-cellular
connections, called synapses. In nature, synapses play a crucial role in learning and …

Recent advances in neural recording microsystems

B Gosselin - Sensors, 2011 - mdpi.com
The accelerating pace of research in neuroscience has created a considerable demand for
neural interfacing microsystems capable of monitoring the activity of large groups of …

Physical principles for scalable neural recording

AH Marblestone, BM Zamft, YG Maguire… - Frontiers in …, 2013 - frontiersin.org
Simultaneously measuring the activities of all neurons in a mammalian brain at millisecond
resolution is a challenge beyond the limits of existing techniques in neuroscience. Entirely …

Integration and co-design of memristive devices and algorithms for artificial intelligence

W Wang, W Song, P Yao, Y Li, J Van Nostrand, Q Qiu… - Iscience, 2020 - cell.com
Memristive devices share remarkable similarities to biological synapses, dendrites, and
neurons at both the physical mechanism level and unit functionality level, making the …

Microtechnology: meet neurobiology

TM Pearce, JC Williams - Lab on a Chip, 2007 - pubs.rsc.org
The field of neuroscience has always been attractive to engineers. Neurons and their
connections, like tiny circuit elements, process and transmit information in a dramatic way …

Neurotech for neuroscience: unifying concepts, organizing principles, and emerging tools

R Silver, K Boahen, S Grillner, N Kopell… - Journal of …, 2007 - Soc Neuroscience
The ability to tackle analysis of the brain at multiple levels simultaneously is emerging from
rapid methodological developments. The classical research strategies of “measure,”“model,” …

[图书][B] Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications-Computational Memory, Deep Learning, and Spiking …

S Spiga, A Sebastian, D Querlioz, B Rajendran - 2020 - books.google.com
Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to
Applications—Computational Memory, Deep Learning, and Spiking Neural Networks …

Building neuromorphic circuits with memristive devices

T Chang, Y Yang, W Lu - IEEE Circuits and Systems Magazine, 2013 - ieeexplore.ieee.org
The rapid, exponential growth of modern electronics has brought about profound changes to
our daily lives. However, maintaining the growth trend now faces significant challenges at …