Literature DB >> 11459616

Extended dynamic clamp: controlling up to four neurons using a single desktop computer and interface.

R D Pinto1, R C Elson, A Szücs, M I Rabinovich, A I Selverston, H D Abarbanel.   

Abstract

The dynamic clamp protocol allows an experimenter to simulate the presence of membrane conductances in, and synaptic connections between, biological neurons. Existing protocols and commercial ADC/DAC boards provide ready control in and between < or =2 neurons. Control at >2 sites is desirable when studying neural circuits with serial or ring connectivity. Here, we describe how to extend dynamic clamp control to four neurons and their associated synaptic interactions, using a single IBM-compatible PC, an ADC/DAC interface with two analog outputs, and an additional demultiplexing circuit. A specific C++ program, DYNCLAMP4, implements these procedures in a Windows environment, allowing one to change parameters while the dynamic clamp is running. Computational efficiency is increased by varying the duration of the input-output cycle. The program simulates < or =8 Hodgkin-Huxley-type conductances and < or =18 (chemical and/or electrical) synapses in < or =4 neurons and runs at a minimum update rate of 5 kHz on a 450 MHz CPU. (Increased speed is possible in a two-neuron version that does not need auxiliary circuitry). Using identified neurons of the crustacean stomatogastric ganglion, we illustrate on-line parameter modification and the construction of three-member synaptic rings.

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Year:  2001        PMID: 11459616     DOI: 10.1016/s0165-0270(01)00368-5

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  32 in total

1.  Dynamics from a time series: can we extract the phase resetting curve from a time series?

Authors:  S A Oprisan; V Thirumalai; C C Canavier
Journal:  Biophys J       Date:  2003-05       Impact factor: 4.033

2.  The functional consequences of changes in the strength and duration of synaptic inputs to oscillatory neurons.

Authors:  Astrid A Prinz; Vatsala Thirumalai; Eve Marder
Journal:  J Neurosci       Date:  2003-02-01       Impact factor: 6.167

3.  Enhancement of synchronization in a hybrid neural circuit by spike-timing dependent plasticity.

Authors:  Thomas Nowotny; Valentin P Zhigulin; Allan I Selverston; Henry D I Abarbanel; Mikhail I Rabinovich
Journal:  J Neurosci       Date:  2003-10-29       Impact factor: 6.167

4.  Phase resetting and phase locking in hybrid circuits of one model and one biological neuron.

Authors:  S A Oprisan; A A Prinz; C C Canavier
Journal:  Biophys J       Date:  2004-10       Impact factor: 4.033

5.  Single neuron firing properties impact correlation-based population coding.

Authors:  Sungho Hong; Stéphanie Ratté; Steven A Prescott; Erik De Schutter
Journal:  J Neurosci       Date:  2012-01-25       Impact factor: 6.167

Review 6.  A neural infrastructure for rhythmic motor patterns.

Authors:  Allen I Selverston
Journal:  Cell Mol Neurobiol       Date:  2005-03       Impact factor: 5.046

7.  Role of the transient outward current (Ito) in shaping canine ventricular action potential--a dynamic clamp study.

Authors:  Xiaoyin Sun; Hong-Sheng Wang
Journal:  J Physiol       Date:  2005-01-13       Impact factor: 5.182

Review 8.  Dynamic clamp: a powerful tool in cardiac electrophysiology.

Authors:  Ronald Wilders
Journal:  J Physiol       Date:  2006-07-27       Impact factor: 5.182

9.  Effects of imperfect dynamic clamp: computational and experimental results.

Authors:  Jonathan C Bettencourt; Kyle P Lillis; Laura R Stupin; John A White
Journal:  J Neurosci Methods       Date:  2007-10-24       Impact factor: 2.390

10.  Artificial synaptic modification reveals a dynamical invariant in the pyloric CPG.

Authors:  Marcelo B Reyes; Ramón Huerta; Mikhail I Rabinovich; Allen I Selverston
Journal:  Eur J Appl Physiol       Date:  2007-12-13       Impact factor: 3.078

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