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 …
neural network encodes and processes neural information through precisely timed spike …
Graph analysis of functional brain networks: practical issues in translational neuroscience
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 …
represent different specialized regions and links, or connections, represent communication …
[BOOK][B] Neuronal dynamics: From single neurons to networks and models of cognition
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 …
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 …
systems. Many measures have been proposed to summarize these correlations and of these …
Machine learning for tactile perception: advancements, challenges, and opportunities
The past decades have seen the rapid development of tactile sensors in material,
fabrication, and mechanical structure design. The advancement of tactile sensors has …
fabrication, and mechanical structure design. The advancement of tactile sensors has …
Event coincidence analysis for quantifying statistical interrelationships between event time series: On the role of flood events as triggers of epidemic outbreaks
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 …
dynamical systems in many fields of science. In this paper, we describe the method of event …
Endogenous sequential cortical activity evoked by visual stimuli
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 …
studied intensely, little is known about how neuronal groups could encode changing visual …
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 …
discovery. Currently available in vitro cytotoxicity assays cannot predict all toxicity …
Imaging and optically manipulating neuronal ensembles
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 …
states must be implemented by spatiotemporal patterns of activity across neuronal …
Monitoring spike train synchrony
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 …
independent measure of spike train synchrony. This measure is time resolved since it relies …