Bursting

Computational neuroscience: a comprehensive approach

Citations: 284 • 2004

Motor Learning and the Cerebellum

Chris I. De Zeeuw, Michiel M. ten Brinke

Citations: 259 • 2015

CPG Design using Inhibitory Networks

M. Anthony Lewis, Francesco V. Tenore, Ralph Etienne‐Cummings

Citations: 59 • 2006

Spike-Timing Dependent Plasticity for Evolved Robots

Ezequiel A. Di Paolo

Citations: 57 • 2002

Quantization of Map-Based Neuronal Model for Embedded Simulations of Neurobiological Networks in Real-Time

Nikolai F. Rulkov, Ariel Mark Hunt, Peter N. Rulkov, Andrey Maksimov

Citations: 33 • 2016

Smelling Time: A Neural Basis for Olfactory Scene Analysis

Barry W. Ache, Andrew M. Hein, Yuriy V. Bobkov, José C. Prı́ncipe

Citations: 33 • 2016

Automated in vivo patch-clamp evaluation of extracellular multielectrode array spike recording capability

Brian D. Allen, Caroline Moore-Kochlacs, Jacob Bernstein, Justin P. Kinney, Jörg Scholvin, Luís F. Seoane, Chris Chronopoulos, Charlie Lamantia, Suhasa B. Kodandaramaiah, Max Tegmark, Edward S. Boyden

Citations: 29 • 2018

Control for multifunctionality: bioinspired control based on feeding in Aplysia californica

Citations: 28 • 2020

A CMOS circuit implementation of a spiking neuron with bursting and adaptation on a biological timescale

Jayawan Wijekoon, Piotr Dudek

Citations: 28 • 2009

Analysis of vibration of pendulum arm under bursting oscillation excitation

Hervé Simo, U. Simo Domguia, J.K. Dutt, P. Woafo

Citations: 24 • 2018

Preventing bursting in adaptive control using an introspective neural network algorithm

K. Masaud, C.J.B. Macnab

Citations: 23 • 2014

Spiking neural state machine for gait frequency entrainment in a flexible modular robot

Alex Spaeth, Maryam Tebyani, David Haussler, Mircea Teodorescu

Citations: 20 • 2020

A “Spike-Based” Grammar Underlies Directional Modification in Network Connectivity: Effect on Bursting Activity and Implications for Bio-Hybrids Systems

Letizia Zullo, Michela Chiappalone, Sérgio Martinoia, Fabio Benfenati

Citations: 15 • 2012

Mathematical-model-based design of silicon burst neurons

Takashi Kohno, Kazuyuki Aihara

Citations: 15 • 2007

Preventing bursting in approximate-adaptive control when using local basis functions

C.J.B. Macnab

Citations: 14 • 2008

Incremental Learning and Fault-Tolerant Classifier for Myoelectric Pattern Recognition Against Multiple Bursting Interferences

Qichuan Ding, Xiaoliang Zhang, Xingang Zhao, Chengdong Wu

Citations: 13 • 2022

Passive limb training modulates respiratory rhythmic bursts

Rosamaria Apicella, Giuliano Taccola

Citations: 9 • 2023

Emergence of antiphase bursting in two populations of randomly spiking elements

Oleg V. Maslennikov, D. V. Кasatkin, Nikolai F. Rulkov, Vladimir I. Nekorkin

Citations: 9 • 2013

Controlling Underwater Robots with Electronic Nervous Systems

Joseph Ayers, Nikolai F. Rulkov, Dan Knudsen, Yong-Bin Kim, Alexander Volkovskii, Allen I. Selverston

Citations: 9 • 2010

Modifying CMAC adaptive control with weight smoothing in order to avoid overlearning and bursting

C.J.B. Macnab

Citations: 7 • 2017