Instrumentation for Electrophysiological Studies of Excitable Tissues

Size: px
Start display at page:

Download "Instrumentation for Electrophysiological Studies of Excitable Tissues"

Transcription

1 BME462/ELE562/NEU503 Joint Lecture Instrumentation for Electrophysiological Studies of Excitable Tissues Ying Sun, Ph.D. Professor Dept. of Electrical, Computer and Biomedical Engineering University of Rhode Island

2 Allen L. Hodgkin Andrew Huxley

3 A. L. H o d g k i n a n d A. F. H u x l e y B r a n c h i a l n e r v e s N e u r o n a l c u r r e n t - v o l t a g e r e l a t i o n s d e t e r m i n e d b y v o l t a g e c l a m p e x p e r i m e n t s i n t h e s q u i d g i a n t a x o n, T e n t a c l e s A r m s C e r e b r a l g a n g l i a O p t i c g a n g l i a V i s c e r a l g a n g l i a V i s c e r a l n e r v e M a n t l e n e r v e H e a d E y e S i p h o n M a n t l e M a n t l e S t e l l a t e g a n g l i a F i n n e r v e G i a n t a x o n L a t e r a l f i n

4 V o l t a g e C l a m p E x p e r i m e n t a l S e t u p Microscope To voltage clamp amplifier Microelectrode holder Height adjustment

5 Neuroscience Voltage Clamp Invented by G. Marmont & K. Cole (independently) in Used by A. L. Hodgkin & A. F. Huxley in 1952 to identify the ionic currents responsible for the action potentials in the squid giant axon (Nobel Prize 1963).

6 Hodgkin-Huxley Equations

7

8

9

10 Electrophysiology Microelectrode experiments with Lymnaea stagnalis (pond snail)

11 Universal Clamp A novel instrument for controlling neuronal signals via feedback control provided by a digital signal processor chip (US and international patents 2009), funded by the National Institutes of Health

12 Intermittent Voltage Clamp

13 Possible Connectivity for a Universal Clamp with 2 Headstages V: voltage measurement VC: voltage clamp IC: current clamp DC: dynamic clamp V/VC: voltage controlled VC R: right L: left

14 Universal Clamp α prototype ± 1 2 V D C S u p p l y ± V D C - D C U C l a m p C i r c u i t D S P B o a r d

15 Universal Clamp β prototype Top view

16 Analog Devices Blackfin BF548 EZ-Lite Kit Bottom view Universal Clamp β prototype

17 Universal Clamp β prototype

18 Neurotransmitters are released from synaptic vesicles of the presynaptic neuron and bind to receptors on the postsynaptic neuron, thereby triggering an impulse through the second neuron.

19 Can we monitor exocytosis/endocytosis activities? Specific cell membrane capacitance = 0.9 μf/cm 2 (fairly constant) Whole cell capacitance = 3 12 pf (pico: p = ) Capacitance signal from a single vesicle = 1 15 ff (femto: f = ) A vesicle event changes the cell capacitance by ~1/1000. A delicate and fast instrument can detect the resulting phase shift in a sinusoidal wave.

20 High-resolution membrane capacitance measurements for the study of exocytosis and endocytosis. Rituper et al., Nature Protocols 8:169 83, 2013

21 Lock-in Amplifier

22

23 Cellular Capacitance Measurement with the Universal Clamp

24 Instrumentation for cell capacitance measurements: switching sinusoidal excitations for studying cell membrane transport. 40th Northeast Bioengineering Conference, Boston, MA, April 25-27, 2014.

25

26

27

28 Signal flow diagram for continuous monitoring of cell capacitance

29 Summary 1. Time-domain formulation for a linear least-squares estimator has the advantage of providing fast, accurate, and continuous measurements of the elctrical properties of a cell. 2. The concept of the lock-in amplifier improving signal-tonoise ratio with sinusoidal modulations was used to simplify the formulation and integrated into the Universal Clamp based a high-speed signal processor. 3. For future work, very small phase shifts related to vesicle activities remain to be a challenge and may require a phaselock-loop type of algorithm for accurate measurements.

30 Acknowledgements Major Contributors for this Project: Ying Sun, Ph.D. Professor, Biomedical Engineering, URI Jiang Wu, Ph.D., Analog Devices, Inc. John DiCecco, Ph.D., Naval Undersea Warfare Center Leon Collis, Ph.D., Pfizer Robert B. Hill, Ph.D., Professor, Biological Sciences, URI Kiyoaki Kuwasawa, Ph.D., Professor, Okayama University, Japan This project was supported by NIH SBIR Phase I and Phase II grant (2R44NS A1) and is currently supported by another Phase I grant (1R43NS A1).

31 In Memory of Prof. Robert B. Hill

32 Exam Question for NEU 503 Describe the four different configurations of the patch clamp in terms of the instrumentation technique and the experimental preparation.

STUDENT PAPER. Santiago Santana University of Illinois, Urbana-Champaign Blue Waters Education Program 736 S. Lombard Oak Park IL, 60304

STUDENT PAPER. Santiago Santana University of Illinois, Urbana-Champaign Blue Waters Education Program 736 S. Lombard Oak Park IL, 60304 STUDENT PAPER Differences between Stochastic and Deterministic Modeling in Real World Systems using the Action Potential of Nerves. Santiago Santana University of Illinois, Urbana-Champaign Blue Waters

More information

Introduction and the Hodgkin-Huxley Model

Introduction and the Hodgkin-Huxley Model 1 Introduction and the Hodgkin-Huxley Model Richard Bertram Department of Mathematics and Programs in Neuroscience and Molecular Biophysics Florida State University Tallahassee, Florida 32306 Reference:

More information

Νευροφυσιολογία και Αισθήσεις

Νευροφυσιολογία και Αισθήσεις Biomedical Imaging & Applied Optics University of Cyprus Νευροφυσιολογία και Αισθήσεις Διάλεξη 5 Μοντέλο Hodgkin-Huxley (Hodgkin-Huxley Model) Response to Current Injection 2 Hodgin & Huxley Sir Alan Lloyd

More information

Mathematical Foundations of Neuroscience - Lecture 3. Electrophysiology of neurons - continued

Mathematical Foundations of Neuroscience - Lecture 3. Electrophysiology of neurons - continued Mathematical Foundations of Neuroscience - Lecture 3. Electrophysiology of neurons - continued Filip Piękniewski Faculty of Mathematics and Computer Science, Nicolaus Copernicus University, Toruń, Poland

More information

Neurons, Synapses, and Signaling

Neurons, Synapses, and Signaling Chapter 48 Neurons, Synapses, and Signaling PowerPoint Lecture Presentations for Biology Eighth Edition Neil Campbell and Jane Reece Lectures by Chris Romero, updated by Erin Barley with contributions

More information

Action Potentials and Synaptic Transmission Physics 171/271

Action Potentials and Synaptic Transmission Physics 171/271 Action Potentials and Synaptic Transmission Physics 171/271 Flavio Fröhlich (flavio@salk.edu) September 27, 2006 In this section, we consider two important aspects concerning the communication between

More information

Neurophysiology. Danil Hammoudi.MD

Neurophysiology. Danil Hammoudi.MD Neurophysiology Danil Hammoudi.MD ACTION POTENTIAL An action potential is a wave of electrical discharge that travels along the membrane of a cell. Action potentials are an essential feature of animal

More information

FRTF01 L8 Electrophysiology

FRTF01 L8 Electrophysiology FRTF01 L8 Electrophysiology Lecture Electrophysiology in general Recap: Linear Time Invariant systems (LTI) Examples of 1 and 2-dimensional systems Stability analysis The need for non-linear descriptions

More information

Microsystems for Neuroscience and Medicine. Lecture 9

Microsystems for Neuroscience and Medicine. Lecture 9 1 Microsystems for Neuroscience and Medicine Lecture 9 2 Neural Microsystems Neurons - Structure and behaviour Measuring neural activity Interfacing with neurons Medical applications - DBS, Retinal Implants

More information

MTE 2: Ch :30-7pm on Mar 26

MTE 2: Ch :30-7pm on Mar 26 MTE 2: Ch 2103 5:30-7pm on Mar 26 Contact me and Prof. Rzchowski after this lecture for Alternate Exams (also by email asap!) 2:30-4pm 6:00-7:30pm on Mar 26 Office hrs change this week Wed morning 1 Contents

More information

Neurons. The Molecular Basis of their Electrical Excitability

Neurons. The Molecular Basis of their Electrical Excitability Neurons The Molecular Basis of their Electrical Excitability Viva La Complexity! Consider, The human brain contains >10 11 neurons! Each neuron makes 10 3 (average) synaptic contacts on up to 10 3 other

More information

Transport of ions across plasma membranes

Transport of ions across plasma membranes Transport of ions across plasma membranes Plasma Membranes of Excitable tissues Ref: Guyton, 13 th ed: pp: 61-71. 12 th ed: pp: 57-69. 11th ed: p57-71, Electrical properties of plasma membranes Part A:

More information

Housekeeping, 26 January 2009

Housekeeping, 26 January 2009 5 th & 6 th Lectures Mon 26 & Wed 28 Jan 2009 Vertebrate Physiology ECOL 437 (MCB/VetSci 437) Univ. of Arizona, spring 2009 Neurons Chapter 11 Kevin Bonine & Kevin Oh 1. Finish Solutes + Water 2. Neurons

More information

Neurons. 5 th & 6 th Lectures Mon 26 & Wed 28 Jan Finish Solutes + Water. 2. Neurons. Chapter 11

Neurons. 5 th & 6 th Lectures Mon 26 & Wed 28 Jan Finish Solutes + Water. 2. Neurons. Chapter 11 5 th & 6 th Lectures Mon 26 & Wed 28 Jan 2009 Vertebrate Physiology ECOL 437 (MCB/VetSci 437) Univ. of Arizona, spring 2009 Neurons Chapter 11 Kevin Bonine & Kevin Oh 1. Finish Solutes + Water 2. Neurons

More information

Lecture 10 : Neuronal Dynamics. Eileen Nugent

Lecture 10 : Neuronal Dynamics. Eileen Nugent Lecture 10 : Neuronal Dynamics Eileen Nugent Origin of the Cells Resting Membrane Potential: Nernst Equation, Donnan Equilbrium Action Potentials in the Nervous System Equivalent Electrical Circuits and

More information

4. Active Behavior of the Cell Membrane 4.1 INTRODUCTION

4. Active Behavior of the Cell Membrane  4.1 INTRODUCTION 1 of 50 10/17/2014 10:48 PM 4.1 INTRODUCTION When a stimulus current pulse is arranged to depolarize the resting membrane of a cell to or beyond the threshold voltage, then the membrane will respond with

More information

Compartmental Modelling

Compartmental Modelling Modelling Neurons Computing and the Brain Compartmental Modelling Spring 2010 2 1 Equivalent Electrical Circuit A patch of membrane is equivalent to an electrical circuit This circuit can be described

More information

Deconstructing Actual Neurons

Deconstructing Actual Neurons 1 Deconstructing Actual Neurons Richard Bertram Department of Mathematics and Programs in Neuroscience and Molecular Biophysics Florida State University Tallahassee, Florida 32306 Reference: The many ionic

More information

Supratim Ray

Supratim Ray Supratim Ray sray@cns.iisc.ernet.in Biophysics of Action Potentials Passive Properties neuron as an electrical circuit Passive Signaling cable theory Active properties generation of action potential Techniques

More information

J. Physiol. ('959) I48,

J. Physiol. ('959) I48, 665 J. Physiol. ('959) I48, 665-670 ON INCREASING THE VELOCITY OF A NERVE IMPULSE BY J. DEL CASTILLO* AND J. W. MOORE From the National Institute of Neurological Diseases and Blindness, National Institutes

More information

Lecture goals: Learning Objectives

Lecture goals: Learning Objectives Title: Membrane Potential in Excitable Cells 1 Subtitle: Voltage-Gated Ion Channels and the basis of the Action Potential Diomedes E. Logothetis, Ph.D. Lecture goals: This first of two lectures will use

More information

Nervous Systems: Neuron Structure and Function

Nervous Systems: Neuron Structure and Function Nervous Systems: Neuron Structure and Function Integration An animal needs to function like a coherent organism, not like a loose collection of cells. Integration = refers to processes such as summation

More information

Membrane Potentials, Action Potentials, and Synaptic Transmission. Membrane Potential

Membrane Potentials, Action Potentials, and Synaptic Transmission. Membrane Potential Cl Cl - - + K + K+ K + K Cl - 2/2/15 Membrane Potentials, Action Potentials, and Synaptic Transmission Core Curriculum II Spring 2015 Membrane Potential Example 1: K +, Cl - equally permeant no charge

More information

Topics in Neurophysics

Topics in Neurophysics Topics in Neurophysics Alex Loebel, Martin Stemmler and Anderas Herz Exercise 2 Solution (1) The Hodgkin Huxley Model The goal of this exercise is to simulate the action potential according to the model

More information

Lecture Notes 8C120 Inleiding Meten en Modelleren. Cellular electrophysiology: modeling and simulation. Nico Kuijpers

Lecture Notes 8C120 Inleiding Meten en Modelleren. Cellular electrophysiology: modeling and simulation. Nico Kuijpers Lecture Notes 8C2 Inleiding Meten en Modelleren Cellular electrophysiology: modeling and simulation Nico Kuijpers nico.kuijpers@bf.unimaas.nl February 9, 2 2 8C2 Inleiding Meten en Modelleren Extracellular

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION SUPPLEMENTARY INFORMATION Supplementary Figure S1. Pulses >3mJ reduce membrane resistance in HEK cells. Reversal potentials in a representative cell for IR-induced currents with laser pulses of 0.74 to

More information

Alteration of resting membrane potential

Alteration of resting membrane potential Observation electric current easuring electrodes Alteration of resting ebrane potential ebrán extracellular spece intracellular space 1. passive electric properties of the ebrane Inward current Depolarization

More information

Nervous System Organization

Nervous System Organization The Nervous System Chapter 44 Nervous System Organization All animals must be able to respond to environmental stimuli -Sensory receptors = Detect stimulus -Motor effectors = Respond to it -The nervous

More information

Math 345 Intro to Math Biology Lecture 20: Mathematical model of Neuron conduction

Math 345 Intro to Math Biology Lecture 20: Mathematical model of Neuron conduction Math 345 Intro to Math Biology Lecture 20: Mathematical model of Neuron conduction Junping Shi College of William and Mary November 8, 2018 Neuron Neurons Neurons are cells in the brain and other subsystems

More information

What are neurons for?

What are neurons for? 5 th & 6 th Lectures Mon 26 & Wed 28 Jan 2009 Vertebrate Physiology ECOL 437 (MCB/VetSci 437) Univ. of Arizona, spring 2009 Kevin Bonine & Kevin Oh 1. Finish Solutes Water 2. Neurons Neurons Chapter 11

More information

Nonlinear Observer Design and Synchronization Analysis for Classical Models of Neural Oscillators

Nonlinear Observer Design and Synchronization Analysis for Classical Models of Neural Oscillators Nonlinear Observer Design and Synchronization Analysis for Classical Models of Neural Oscillators Ranjeetha Bharath and Jean-Jacques Slotine Massachusetts Institute of Technology ABSTRACT This work explores

More information

Biomedical Instrumentation

Biomedical Instrumentation ELEC ENG 4BD4: Biomedical Instrumentation Lecture 5 Bioelectricity 1. INTRODUCTION TO BIOELECTRICITY AND EXCITABLE CELLS Historical perspective: Bioelectricity first discovered by Luigi Galvani in 1780s

More information

Lecture 11 : Simple Neuron Models. Dr Eileen Nugent

Lecture 11 : Simple Neuron Models. Dr Eileen Nugent Lecture 11 : Simple Neuron Models Dr Eileen Nugent Reading List Nelson, Biological Physics, Chapter 12 Phillips, PBoC, Chapter 17 Gerstner, Neuronal Dynamics: from single neurons to networks and models

More information

Neurons, Synapses, and Signaling

Neurons, Synapses, and Signaling LECTURE PRESENTATIONS For CAMPBELL BIOLOGY, NINTH EDITION Jane B. Reece, Lisa A. Urry, Michael L. Cain, Steven A. Wasserman, Peter V. Minorsky, Robert B. Jackson Chapter 48 Neurons, Synapses, and Signaling

More information

Nerve Signal Conduction. Resting Potential Action Potential Conduction of Action Potentials

Nerve Signal Conduction. Resting Potential Action Potential Conduction of Action Potentials Nerve Signal Conduction Resting Potential Action Potential Conduction of Action Potentials Resting Potential Resting neurons are always prepared to send a nerve signal. Neuron possesses potential energy

More information

1. Neurons & Action Potentials

1. Neurons & Action Potentials Lecture 6, 30 Jan 2008 Vertebrate Physiology ECOL 437 (MCB/VetSci 437) Univ. of Arizona, spring 2008 Kevin Bonine & Kevin Oh 1. Intro Nervous System Fxn (slides 32-60 from Mon 28 Jan; Ch10) 2. Neurons

More information

Synapses. Electrophysiology and Vesicle release

Synapses. Electrophysiology and Vesicle release Synapses Electrophysiology and Vesicle release Major point Cell theory (cells being separated) implies that cells must communicate with each other through extracellular connections most communication is

More information

Propagation& Integration: Passive electrical properties

Propagation& Integration: Passive electrical properties Fundamentals of Neuroscience (NSCS 730, Spring 2010) Instructor: Art Riegel; email: Riegel@musc.edu; Room EL 113; time: 9 11 am Office: 416C BSB (792.5444) Propagation& Integration: Passive electrical

More information

All-or-None Principle and Weakness of Hodgkin-Huxley Mathematical Model

All-or-None Principle and Weakness of Hodgkin-Huxley Mathematical Model All-or-None Principle and Weakness of Hodgkin-Huxley Mathematical Model S. A. Sadegh Zadeh, C. Kambhampati International Science Index, Mathematical and Computational Sciences waset.org/publication/10008281

More information

An Efficient Method for Computing Synaptic Conductances Based on a Kinetic Model of Receptor Binding

An Efficient Method for Computing Synaptic Conductances Based on a Kinetic Model of Receptor Binding NOTE Communicated by Michael Hines An Efficient Method for Computing Synaptic Conductances Based on a Kinetic Model of Receptor Binding A. Destexhe Z. F. Mainen T. J. Sejnowski The Howard Hughes Medical

More information

Physiology Unit 2. MEMBRANE POTENTIALS and SYNAPSES

Physiology Unit 2. MEMBRANE POTENTIALS and SYNAPSES Physiology Unit 2 MEMBRANE POTENTIALS and SYNAPSES Neuron Communication Neurons are stimulated by receptors on dendrites and cell bodies (soma) Ligand gated ion channels GPCR s Neurons stimulate cells

More information

MEMBRANE POTENTIALS AND ACTION POTENTIALS:

MEMBRANE POTENTIALS AND ACTION POTENTIALS: University of Jordan Faculty of Medicine Department of Physiology & Biochemistry Medical students, 2017/2018 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Review: Membrane physiology

More information

Biosciences in the 21st century

Biosciences in the 21st century Biosciences in the 21st century Lecture 1: Neurons, Synapses, and Signaling Dr. Michael Burger Outline: 1. Why neuroscience? 2. The neuron 3. Action potentials 4. Synapses 5. Organization of the nervous

More information

NEURON SYNAPSE BY QUANTUM MECHANICS

NEURON SYNAPSE BY QUANTUM MECHANICS NEURON SYNAPSE BY QUANTUM MECHANICS THOMAS PREVENSLIK QED Radiations Discovery Bay, Hong Kong Email: qedradiation@gmail.com ABSTRACT Mainstream theory of neurons is based on chemical signaling by neurotransmitters

More information

Control and Integration. Nervous System Organization: Bilateral Symmetric Animals. Nervous System Organization: Radial Symmetric Animals

Control and Integration. Nervous System Organization: Bilateral Symmetric Animals. Nervous System Organization: Radial Symmetric Animals Control and Integration Neurophysiology Chapters 10-12 Nervous system composed of nervous tissue cells designed to conduct electrical impulses rapid communication to specific cells or groups of cells Endocrine

More information

Basic elements of neuroelectronics -- membranes -- ion channels -- wiring. Elementary neuron models -- conductance based -- modelers alternatives

Basic elements of neuroelectronics -- membranes -- ion channels -- wiring. Elementary neuron models -- conductance based -- modelers alternatives Computing in carbon Basic elements of neuroelectronics -- membranes -- ion channels -- wiring Elementary neuron models -- conductance based -- modelers alternatives Wiring neurons together -- synapses

More information

Quantitative Electrophysiology

Quantitative Electrophysiology ECE 795: Quantitative Electrophysiology Notes for Lecture #1 Wednesday, September 13, 2006 1. INTRODUCTION TO EXCITABLE CELLS Historical perspective: Bioelectricity first discovered by Luigi Galvani in

More information

Electrophysiology of the neuron

Electrophysiology of the neuron School of Mathematical Sciences G4TNS Theoretical Neuroscience Electrophysiology of the neuron Electrophysiology is the study of ionic currents and electrical activity in cells and tissues. The work of

More information

Computational Neuroscience. Lubica Benuskova Lecture 1

Computational Neuroscience. Lubica Benuskova Lecture 1 Computational Neuroscience Lubica Benuskova Lecture 1 1 Outline Brief history of Computational Neuroscience, i.e. computational modelling of biological neurons Blue Brain project Basic concepts of computational

More information

Nervous System Organization

Nervous System Organization The Nervous System Nervous System Organization Receptors respond to stimuli Sensory receptors detect the stimulus Motor effectors respond to stimulus Nervous system divisions Central nervous system Command

More information

BIOLOGY 11/10/2016. Neurons, Synapses, and Signaling. Concept 48.1: Neuron organization and structure reflect function in information transfer

BIOLOGY 11/10/2016. Neurons, Synapses, and Signaling. Concept 48.1: Neuron organization and structure reflect function in information transfer 48 Neurons, Synapses, and Signaling CAMPBELL BIOLOGY TENTH EDITION Reece Urry Cain Wasserman Minorsky Jackson Lecture Presentation by Nicole Tunbridge and Kathleen Fitzpatrick Concept 48.1: Neuron organization

More information

1 Hodgkin-Huxley Theory of Nerve Membranes: The FitzHugh-Nagumo model

1 Hodgkin-Huxley Theory of Nerve Membranes: The FitzHugh-Nagumo model 1 Hodgkin-Huxley Theory of Nerve Membranes: The FitzHugh-Nagumo model Alan Hodgkin and Andrew Huxley developed the first quantitative model of the propagation of an electrical signal (the action potential)

More information

Quantitative Electrophysiology

Quantitative Electrophysiology ECE 795: Quantitative Electrophysiology Notes for Lecture #1 Tuesday, September 18, 2012 1. INTRODUCTION TO EXCITABLE CELLS Historical perspective: Bioelectricity first discovered by Luigi Galvani in 1780s

More information

BIOELECTRIC PHENOMENA

BIOELECTRIC PHENOMENA Chapter 11 BIOELECTRIC PHENOMENA 11.3 NEURONS 11.3.1 Membrane Potentials Resting Potential by separation of charge due to the selective permeability of the membrane to ions From C v= Q, where v=60mv and

More information

9 Generation of Action Potential Hodgkin-Huxley Model

9 Generation of Action Potential Hodgkin-Huxley Model 9 Generation of Action Potential Hodgkin-Huxley Model (based on chapter 12, W.W. Lytton, Hodgkin-Huxley Model) 9.1 Passive and active membrane models In the previous lecture we have considered a passive

More information

Neurons, Synapses, and Signaling

Neurons, Synapses, and Signaling Chapter 48 Neurons, Synapses, and Signaling PowerPoint Lecture Presentations for Biology Eighth Edition Neil Campbell and Jane Reece Lectures by Chris Romero, updated by Erin Barley with contributions

More information

Bo Deng University of Nebraska-Lincoln UNL Math Biology Seminar

Bo Deng University of Nebraska-Lincoln UNL Math Biology Seminar Mathematical Model of Neuron Bo Deng University of Nebraska-Lincoln UNL Math Biology Seminar 09-10-2015 Review -- One Basic Circuit By Kirchhoff's Current Law 0 = I C + I R + I L I ext By Kirchhoff s Voltage

More information

Simulating Hodgkin-Huxley-like Excitation using Comsol Multiphysics

Simulating Hodgkin-Huxley-like Excitation using Comsol Multiphysics Presented at the COMSOL Conference 2008 Hannover Simulating Hodgkin-Huxley-like Excitation using Comsol Multiphysics Martinek 1,2, Stickler 2, Reichel 1 and Rattay 2 1 Department of Biomedical Engineering

More information

Membrane Protein Channels

Membrane Protein Channels Membrane Protein Channels Potassium ions queuing up in the potassium channel Pumps: 1000 s -1 Channels: 1000000 s -1 Pumps & Channels The lipid bilayer of biological membranes is intrinsically impermeable

More information

Quantitative Electrophysiology

Quantitative Electrophysiology ECE 795: Quantitative Electrophysiology Notes for Lecture #4 Wednesday, October 4, 2006 7. CHEMICAL SYNAPSES AND GAP JUNCTIONS We will look at: Chemical synapses in the nervous system Gap junctions in

More information

How and why neurons fire

How and why neurons fire How and why neurons fire 1 Neurophysiological Background The Neuron Contents: Structure Electrical Mebrane Properties Ion Channels Actionpotential Signal Propagation Synaptic Transission 2 Structure of

More information

Biological membranes and bioelectric phenomena

Biological membranes and bioelectric phenomena Lectures on Medical Biophysics Dept. Biophysics, Medical faculty, Masaryk University in Brno Biological membranes and bioelectric phenomena A part of this lecture was prepared on the basis of a presentation

More information

Basic elements of neuroelectronics -- membranes -- ion channels -- wiring

Basic elements of neuroelectronics -- membranes -- ion channels -- wiring Computing in carbon Basic elements of neuroelectronics -- membranes -- ion channels -- wiring Elementary neuron models -- conductance based -- modelers alternatives Wires -- signal propagation -- processing

More information

R7.3 Receptor Kinetics

R7.3 Receptor Kinetics Chapter 7 9/30/04 R7.3 Receptor Kinetics Professional Reference Shelf Just as enzymes are fundamental to life, so is the living cell s ability to receive and process signals from beyond the cell membrane.

More information

Signal processing in nervous system - Hodgkin-Huxley model

Signal processing in nervous system - Hodgkin-Huxley model Signal processing in nervous system - Hodgkin-Huxley model Ulrike Haase 19.06.2007 Seminar "Gute Ideen in der theoretischen Biologie / Systembiologie" Signal processing in nervous system Nerve cell and

More information

Executable Symbolic Modeling of Neural Processes

Executable Symbolic Modeling of Neural Processes Executable Symbolic Modeling of Neural Processes M Sriram Iyengar 1, Carolyn Talcott 2, Riccardo Mozzachiodi 3, Douglas Baxter 3 1 School of Health Information Sciences, Univ. of Texas Health Science Center

More information

Intracellular recording

Intracellular recording 9780521516228c03 CUP/BRRR April 24, 2012 18:28 Page-44 3 Intracellular recording ROMAIN BRETTE AND ALAIN DESTEXHE 3.1 Introduction Intracellular recording is the measurement of voltage or current across

More information

Biology September 2015 Exam One FORM G KEY

Biology September 2015 Exam One FORM G KEY Biology 251 17 September 2015 Exam One FORM G KEY PRINT YOUR NAME AND ID NUMBER in the space that is provided on the answer sheet, and then blacken the letter boxes below the corresponding letters of your

More information

Biology September 2015 Exam One FORM W KEY

Biology September 2015 Exam One FORM W KEY Biology 251 17 September 2015 Exam One FORM W KEY PRINT YOUR NAME AND ID NUMBER in the space that is provided on the answer sheet, and then blacken the letter boxes below the corresponding letters of your

More information

Cellular Electrophysiology. Cardiac Electrophysiology

Cellular Electrophysiology. Cardiac Electrophysiology Part 1: Resting and Action Potentials Cardiac Electrophysiology Theory Simulation Experiment Scale The membrane: structure, channels and gates The cell: resting potential, whole cell currents, cardiac

More information

9 Generation of Action Potential Hodgkin-Huxley Model

9 Generation of Action Potential Hodgkin-Huxley Model 9 Generation of Action Potential Hodgkin-Huxley Model (based on chapter 2, W.W. Lytton, Hodgkin-Huxley Model) 9. Passive and active membrane models In the previous lecture we have considered a passive

More information

Information processing. Divisions of nervous system. Neuron structure and function Synapse. Neurons, synapses, and signaling 11/3/2017

Information processing. Divisions of nervous system. Neuron structure and function Synapse. Neurons, synapses, and signaling 11/3/2017 Neurons, synapses, and signaling Chapter 48 Information processing Divisions of nervous system Central nervous system (CNS) Brain and a nerve cord Integration center Peripheral nervous system (PNS) Nerves

More information

Special Lecture Series Biosensors and Instrumentation

Special Lecture Series Biosensors and Instrumentation !1 Special Lecture Series Biosensors and Instrumentation Lecture 9 - Microsystems for Neuroscience and Medicine This lecture looks at an important area of research and development in biomedical engineering

More information

Neurons, Synapses, and Signaling

Neurons, Synapses, and Signaling Chapter 48 Neurons, Synapses, and Signaling PowerPoint Lectures for Biology, Eighth Edition Lectures by Chris Romero, updated by Erin Barley with contributions from Joan Sharp and Janette Lewis Copyright

More information

From neuronal oscillations to complexity

From neuronal oscillations to complexity 1/39 The Fourth International Workshop on Advanced Computation for Engineering Applications (ACEA 2008) MACIS 2 Al-Balqa Applied University, Salt, Jordan Corson Nathalie, Aziz Alaoui M.A. University of

More information

BME 5742 Biosystems Modeling and Control

BME 5742 Biosystems Modeling and Control BME 5742 Biosystems Modeling and Control Hodgkin-Huxley Model for Nerve Cell Action Potential Part 1 Dr. Zvi Roth (FAU) 1 References Hoppensteadt-Peskin Ch. 3 for all the mathematics. Cooper s The Cell

More information

Single-Cell and Mean Field Neural Models

Single-Cell and Mean Field Neural Models 1 Single-Cell and Mean Field Neural Models Richard Bertram Department of Mathematics and Programs in Neuroscience and Molecular Biophysics Florida State University Tallahassee, Florida 32306 The neuron

More information

Voltage-clamp and Hodgkin-Huxley models

Voltage-clamp and Hodgkin-Huxley models Voltage-clamp and Hodgkin-Huxley models Read: Hille, Chapters 2-5 (best Koch, Chapters 6, 8, 9 See also Hodgkin and Huxley, J. Physiol. 117:500-544 (1952. (the source Clay, J. Neurophysiol. 80:903-913

More information

CISC 3250 Systems Neuroscience

CISC 3250 Systems Neuroscience CISC 3250 Systems Neuroscience Systems Neuroscience How the nervous system performs computations How groups of neurons work together to achieve intelligence Professor Daniel Leeds dleeds@fordham.edu JMH

More information

Nervous Tissue. Neurons Electrochemical Gradient Propagation & Transduction Neurotransmitters Temporal & Spatial Summation

Nervous Tissue. Neurons Electrochemical Gradient Propagation & Transduction Neurotransmitters Temporal & Spatial Summation Nervous Tissue Neurons Electrochemical Gradient Propagation & Transduction Neurotransmitters Temporal & Spatial Summation What is the function of nervous tissue? Maintain homeostasis & respond to stimuli

More information

Integration of synaptic inputs in dendritic trees

Integration of synaptic inputs in dendritic trees Integration of synaptic inputs in dendritic trees Theoretical Neuroscience Fabrizio Gabbiani Division of Neuroscience Baylor College of Medicine One Baylor Plaza Houston, TX 77030 e-mail:gabbiani@bcm.tmc.edu

More information

Equivalent Circuit Model of the Neuron

Equivalent Circuit Model of the Neuron Generator Potentials, Synaptic Potentials and Action Potentials All Can Be Described by the Equivalent Circuit Model of the Membrane Equivalent Circuit Model of the Neuron PNS, Fig 211 The Nerve (or Muscle)

More information

NEURONS Excitable cells Therefore, have a RMP Synapse = chemical communication site between neurons, from pre-synaptic release to postsynaptic

NEURONS Excitable cells Therefore, have a RMP Synapse = chemical communication site between neurons, from pre-synaptic release to postsynaptic NEUROPHYSIOLOGY NOTES L1 WHAT IS NEUROPHYSIOLOGY? NEURONS Excitable cells Therefore, have a RMP Synapse = chemical communication site between neurons, from pre-synaptic release to postsynaptic receptor

More information

Presented by Sarah Hedayat. Supervised by Pr.Cappy and Dr.Hoel

Presented by Sarah Hedayat. Supervised by Pr.Cappy and Dr.Hoel 1 Presented by Sarah Hedayat Supervised by Pr.Cappy and Dr.Hoel Outline 2 Project objectives Key elements Membrane models As simple as possible Phase plane analysis Review of important Concepts Conclusion

More information

Kirchhoff s Rules. Survey available this week. $ closed loop. Quiz on a simple DC circuit. Quiz on a simple DC circuit

Kirchhoff s Rules. Survey available this week. $ closed loop. Quiz on a simple DC circuit. Quiz on a simple DC circuit RC Circuits. Start Magnetic Fields Announcement on MTE 1 This Lecture: RC circuits Membrane electrical currents Magnetic Fields and Magnets Wednesday Oct. 4, slightly later start time:5:45 pm - 7:15 pm

More information

Parameters for Minimal Model of Cardiac Cell from Two Different Methods: Voltage-Clamp and MSE Method

Parameters for Minimal Model of Cardiac Cell from Two Different Methods: Voltage-Clamp and MSE Method Parameters for Minimal Model of Cardiac Cell from Two Different Methods: oltage-clamp and MSE Method Soheila Esmaeili 1, * and Bahareh beheshti 1 Department of Biomedical engineering, ran University of

More information

Nerve Excitation. L. David Roper This is web page

Nerve Excitation. L. David Roper  This is web page Nerve Excitation L. David Roper http://arts.bev.net/roperldavid This is web page http://www.roperld.com/science/nerveexcitation.pdf Chapter 1. The Action Potential A typical action potential (inside relative

More information

Electricity in biology

Electricity in biology Electricity in biology Maintaining an osmotic balance Different strategies Animal: pumping ions out Plants/some bacteria: using a rigid shell Amoeba: extruding water bubble periodically Animal Plant/Bacteria

More information

Mathematical analysis of a 3D model of cellular electrophysiology

Mathematical analysis of a 3D model of cellular electrophysiology Mathematical analysis of a 3D model of cellular electrophysiology Hiroshi Matano (Univ. of Tokyo) joint work with Yoichiro Mori (Univ. of Minnesota) Seoul-Tokyo Conference on Elliptic and Parabolic PDEs

More information

Voltage-clamp and Hodgkin-Huxley models

Voltage-clamp and Hodgkin-Huxley models Voltage-clamp and Hodgkin-Huxley models Read: Hille, Chapters 2-5 (best) Koch, Chapters 6, 8, 9 See also Clay, J. Neurophysiol. 80:903-913 (1998) (for a recent version of the HH squid axon model) Rothman

More information

Robert Szlavik, California Polytechnic State University. Page American Society for Engineering Education, 2008

Robert Szlavik, California Polytechnic State University. Page American Society for Engineering Education, 2008 AC 2008-1367: NICOTINIC ACETYLCHOLINE RECEPTOR KINETICS OF THE NEUROMUSCULAR JUNCTION SIMULATED USING SPICE - AN ILLUSTRATION OF PHYSIOLOGICAL PROCESS SIMULATION WITH CONVENTIONAL CIRCUIT SIMULATION SOFTWARE

More information

Physiology Unit 2. MEMBRANE POTENTIALS and SYNAPSES

Physiology Unit 2. MEMBRANE POTENTIALS and SYNAPSES Physiology Unit 2 MEMBRANE POTENTIALS and SYNAPSES In Physiology Today Ohm s Law I = V/R Ohm s law: the current through a conductor between two points is directly proportional to the voltage across the

More information

Chapter 2: Neurons and Glia

Chapter 2: Neurons and Glia Chapter 2: Neurons and Glia The Prototypical Neuron The Soma Cytosol: watery fluid inside the cell Organelles: membrane-enclosed structures within the soma Cytoplasm: contents within a cell membrane, e.g.,

More information

Chapter 37 Active Reading Guide Neurons, Synapses, and Signaling

Chapter 37 Active Reading Guide Neurons, Synapses, and Signaling Name: AP Biology Mr. Croft Section 1 1. What is a neuron? Chapter 37 Active Reading Guide Neurons, Synapses, and Signaling 2. Neurons can be placed into three groups, based on their location and function.

More information

STEIN IN-TERM EXAM -- BIOLOGY FEBRUARY 12, PAGE 1 of 7

STEIN IN-TERM EXAM -- BIOLOGY FEBRUARY 12, PAGE 1 of 7 STEIN IN-TERM EXAM -- BIOLOGY 3058 -- FEBRUARY 12, 2009 -- PAGE 1 of 7 There are 25 questions in this Biology 3058 exam. All questions are "A, B, C, D, E, F, G, H" questions worth one point each. There

More information

MATH 3104: THE HODGKIN-HUXLEY EQUATIONS

MATH 3104: THE HODGKIN-HUXLEY EQUATIONS MATH 3104: THE HODGKIN-HUXLEY EQUATIONS Parallel conductance model A/Prof Geoffrey Goodhill, Semester 1, 2009 So far we have modelled neuronal membranes by just one resistance (conductance) variable. We

More information

Decoding. How well can we learn what the stimulus is by looking at the neural responses?

Decoding. How well can we learn what the stimulus is by looking at the neural responses? Decoding How well can we learn what the stimulus is by looking at the neural responses? Two approaches: devise explicit algorithms for extracting a stimulus estimate directly quantify the relationship

More information

Study and Analysis of Human Nervous System and Effects of External EM Signals on Conduction in Human Nerves

Study and Analysis of Human Nervous System and Effects of External EM Signals on Conduction in Human Nerves Study and Analysis of Human Nervous System and Effects of External EM Signals on Conduction in Human Nerves Manish Kumar Gupta, R K Khanna Vivekananda Global University, Jaipur, K J Rangra CEERI Pilani

More information

Simulation of Cardiac Action Potentials Background Information

Simulation of Cardiac Action Potentials Background Information Simulation of Cardiac Action Potentials Background Information Rob MacLeod and Quan Ni February 7, 2 Introduction The goal of assignments related to this document is to experiment with a numerical simulation

More information

Introduction Principles of Signaling and Organization p. 3 Signaling in Simple Neuronal Circuits p. 4 Organization of the Retina p.

Introduction Principles of Signaling and Organization p. 3 Signaling in Simple Neuronal Circuits p. 4 Organization of the Retina p. Introduction Principles of Signaling and Organization p. 3 Signaling in Simple Neuronal Circuits p. 4 Organization of the Retina p. 5 Signaling in Nerve Cells p. 9 Cellular and Molecular Biology of Neurons

More information