Supervised learning in spiking neural networks: A review of algorithms and evaluations

X Wang, X Lin, X Dang - Neural Networks, 2020 - Elsevier
As a new brain-inspired computational model of the artificial neural network, a spiking
neural network encodes and processes neural information through precisely timed spike …

Graph analysis of functional brain networks: practical issues in translational neuroscience

F de Vico Fallani, J Richiardi… - … Transactions of the …, 2014 - royalsocietypublishing.org
The brain can be regarded as a network: a connected system where nodes, or units,
represent different specialized regions and links, or connections, represent communication …

[图书][B] Neuronal dynamics: From single neurons to networks and models of cognition

W Gerstner, WM Kistler, R Naud, L Paninski - 2014 - books.google.com
What happens in our brain when we make a decision? What triggers a neuron to send out a
signal? What is the neural code? This textbook for advanced undergraduate and beginning …

Detecting pairwise correlations in spike trains: an objective comparison of methods and application to the study of retinal waves

CS Cutts, SJ Eglen - Journal of Neuroscience, 2014 - Soc Neuroscience
Correlations in neuronal spike times are thought to be key to processing in many neural
systems. Many measures have been proposed to summarize these correlations and of these …

Endogenous sequential cortical activity evoked by visual stimuli

L Carrillo-Reid, JK Miller, JP Hamm… - Journal of …, 2015 - Soc Neuroscience
Although the functional properties of individual neurons in primary visual cortex have been
studied intensely, little is known about how neuronal groups could encode changing visual …

Event coincidence analysis for quantifying statistical interrelationships between event time series: On the role of flood events as triggers of epidemic outbreaks

JF Donges, CF Schleussner, JF Siegmund… - The European Physical …, 2016 - Springer
Studying event time series is a powerful approach for analyzing the dynamics of complex
dynamical systems in many fields of science. In this paper, we describe the method of event …

Machine learning for tactile perception: advancements, challenges, and opportunities

Z Hu, L Lin, W Lin, Y Xu, X Xia, Z Peng… - Advanced Intelligent …, 2023 - Wiley Online Library
The past decades have seen the rapid development of tactile sensors in material,
fabrication, and mechanical structure design. The advancement of tactile sensors has …

Monitoring spike train synchrony

T Kreuz, D Chicharro, C Houghton… - Journal of …, 2013 - journals.physiology.org
Recently, the SPIKE-distance has been proposed as a parameter-free and timescale-
independent measure of spike train synchrony. This measure is time resolved since it relies …

Imaging and optically manipulating neuronal ensembles

L Carrillo-Reid, W Yang, J Kang Miller… - Annual review of …, 2017 - annualreviews.org
The neural code that relates the firing of neurons to the generation of behavior and mental
states must be implemented by spatiotemporal patterns of activity across neuronal …

In Vitro Screening for Seizure Liability Using Microelectrode Array Technology

JA Bradley, HH Luithardt, MR Metea… - Toxicological …, 2018 - academic.oup.com
Drug-induced seizure liabilities produce significant compound attrition during drug
discovery. Currently available in vitro cytotoxicity assays cannot predict all toxicity …