Articles

Swinehart CD, Abbott LF (2005) Supervised learning through neuronal response modulation. Neural Comput. 2005 Mar;17(3):609-31.

Vogels TP, Rajan KS, Abbott LF (2005) Neural Network Dynamics. Annual Reviews Neuroscience (online)

Fusi S, Drew PJ, Abbott LF (2005) Cascade models of synaptically stored memories. Neuron. Feb 17;45(4):599-611.

Abbott LF, Regehr WG (2004) Synaptic computation. Nature 2004 Oct 14;431(7010)

Prinz AA, Abbott LF, Marder E (2004) The dynamic clamp comes of age. Trends Neurosci. 2004 Apr;27(4)

Rumsey CC, Abbott LF (2004) Equalization of synaptic efficacy by activity- and timing-dependent synaptic plasticity. J Neurophysiol. 2004 May;91(5)

Drew P.J., Abbott, L.F. (2003) A Model of Song Selectivity and Sequence Generation in Area HVc of the Songbird.Drew PJ and Abbott LF, Journal of Neurophysiology 89 : 2697-2706, 2003

Chance, F.S., Abbott, L.F. and Reyes, A.D. (2002) Gain Modulation Through Background Synaptic Input. Neuron 35:773-782.

Golowasch, J., Goldman, M.S., Abbott, L.F. and Marder, E. (2002) Failure of Averaging in the Construction of a Conductance-Based Neuron Model. J. Neurophysiol. 89:1129-1131.
Goldman, M.S., Maldonado, P. and Abbott, L.F. (2001) Redundancy Reduction and Sustained Firing with Stochastic Depressing Synapses. J. Neurosci. 22:584-591.
Abbott, L.F. and Chance, F.S. (2002) Mechanistic versus Functional Taxonomy of Visual Neurons. Nature Neurosci. 5:391-392.
Song, S. and Abbott, L.F. (2001) Column and Map Development and Cortical Re-Mapping Through Spike-Timing Dependent Plasticity. Neuron 32:339-350.
Goldman, M.S., Golowasch, J., Marder, E. and Abbott, L.F. (2001) Global structure, robustness, and modulation of neural models. J. Neurosci. 21:5229-5238.
Soto-Treviño, C., Thoroughman, K.A., Marder, E. and Abbott, L.F. (2001) Activity-Dependent Modification of Inhibitory Synapses in Models of Rhythmic Neural Networks. Nature Neurosci. 4:297-303.
Brunel, N., Chance, F.S., Fourcaud, N. and Abbott, L.F. (2001) Effects of Synaptic Noise and Filtering on the Frequency Response of Spiking Neurons. Phys. Rev. Lett. 86:2186-2189.
Salinas, E. and Abbott, L.F. (2001) Coordinate Transformations in the Visual System: How to Generate Gain Fields and What to Compute with Them.  Prog. Brain Res. 130:175-190.

Abbott, L.F. and Nelson, S.B. (2000) Synaptic Plasticity: Taming the Beast. Nature Neurosci. 3:1178-1183.

Abbott, L.F. (2001) The Timing Game? Nature Neurosci. 4:115-116.

Song, S., Miller, K.D. and Abbott, L.F. (2000) Competitive Hebbian Learning Through Spike-Timing Dependent Synaptic Plasticity. Nature Neurosci. 3:919-926.

Abbott, L.F. (2000) Integrating with Action Potentials. Neuron 26:3-4.

Chance, F.S. and Abbott, L.F. (2000) Divisive Inhibition in Recurrent Networks. Network: Comp. Neural Sys. 11:119-129.

Salinas, E. and Abbott, L.F. (2000) Do Simple Cells in Primary Visual Cortex Form a Tight Frame? Neural Comp. 12:313-336. Birmingham, J.T., Szuts, Z.B, Abbott, L.F. and Marder E. (1999) Encoding of muscle movement on two time scales by a sensory neuron that switches between spiking and bursting modes. J. Neurophysiol. 82:2786-2797.

Golowasch, J., Abbott, L.F. and Marder, E. (1999) Activity-Dependent Regulation of Ionic Conductances in an Identified Neuron of the Stomatogastric Ganglion of the Crab Cancer borealis. J. Neurosci. 19:RC33(1-5).

Golowasch, J., Casey, M., Abbott, L.F. and Marder, E. (1999) Network Stability from Activity-Dependent Regulation of Neuronal Conductances. Neural Comp. 11:1079-1096.

Chance, F.S., Nelson, S.B. and Abbott, L.F. (1999) Complex Cells as Cortically Amplified Simple Cells. Nature Neurosci. 2:277-282.

Abbott, L.F. (1999) Pointing the Way Toward Target Selection. Nature Neurosci. 2:688-689.

Abbott, L.F. (1999) Lapicque’s Introduction of the Integrate-and-Fire Model (1907). Brain Research Bulletin 50:303-304.

Abbott, L.F. and Dayan, P. (1998) The Effect of Correlated Variability on the Accuracy of a Population Code. Neural Comp. 11:91-102.

Jorge-Rivera, J.C., Sen, K., Birmingham, J.T., Abbott, L.F. and Marder, E. (1998) Temporal Dynamics of Convergent Modulation at a Crustacean Neuromuscular Junction. J. Neurophysiol. 80: 2559-2570.

Kopell, N., Abbott, L.F. and Soto-Trevino, C. (1998) On the Behavior of a Neural Oscillator Electrically Coupled to a Bistable Element. Physica D121:367-395.

Chance, F.S., Nelson, S.B. and Abbott, L.F. (1998) Synaptic Depression and the Temporal Response Characteristics of V1 Simple Cells. J. Neurosci. 18:4785-4799.

Liu, Z., Golowasch, J., Marder, E. and Abbott, L.F. (1998) A Model Neuron With Activity-Dependent Conductances Regulated By Multiple Calcium Sensors. J. Neurosci. 18:2309-2320.

Baddeley, R., Abbott, L.F., Booth, M.J.A., Sengpiel, F., Freeman, T., Wakeman, E.A. and Rolls, E.T. (1997) Responses of Neurons in Primary and Inferior Temporal Visual Cortices to Natural Scenes. Proc. Roy. Soc. (Lond.) B264:1775-1783.

Abbott, L.F. (1997) The Analytical Bend of the Leech (News and Views). Nature 391:18-19. Varela, J., Sen, K., Gibson, J., Fost, J., Abbott, L.F., Nelson, S.B. (1997) A Quantitative Description of Short-Term Plasticity at Excitatory Synapses in Layer 2/3 of Rat Primary Visual Cortex. J. Neurosci. 17:7926-7940. Abbott, L.F. (1997) Fiddling with the Neural Code (book review). Neuron 19:5-6. Manor, Y., Nadim, F., Abbott, L.F. and Marder, E. (1997) Temporal Dynamics of Graded Synaptic Transmission in the Lobster Stomatogastric Ganglion. J. Neurosci. 17:5610-5621. Salinas, E. and Abbott, L.F. (1997) Invariant Visual Perception from Attentional Gain Fields. J. Neurophysiol. 77:3267-3272. Abbott, L.F., Varela, J.A., Sen, K. and Nelson, S.B. (1997) Synaptic Depression and Cortical Gain Control. Science 275:220-223. Gerstner, W. and Abbott, L.F. (1997) Learning Navigational Maps Through Potentiation and Modulation of Hippocampal Place Cells. J. Computational Neurosci. 4:79-94. Marder, E., Abbott, L.F., Turrigiano, G.G., Liu, Z. and Golowasch, J. (1996) Memory from the Dynamics of Intrinsic Membrane Currents. Proc. Natl. Acad. Sci. USA 93:13481-13486.

Salinas, E. and Abbott, L.F. (1996) A Model of Multiplicative Neural Responses in Parietal Cortex. Proc. Natl. Acad. Sci. USA 93:11956-11961.

Sen, K., Jorge-Rivera, J.C., Marder, E. and Abbott, L.F. (1996) Decoding Synapses. J. Neurosci. 16:6307-6318.

Abbott, L.F., Rolls, E.T. and Tovee, M.J. (1996) Representational Capacity of Face Coding in Monkeys. Cerebral Cortex 6:498-505. Abbott, L.F. and Blum, K.I. (1996) Functional Significance of Long-Term Potentiation for Sequence Learning and Prediction. Cerebral Cortex 6:406-416. Turrigiano, G.G., Marder, E. and Abbott, L.F. (1996) Cellular Short-Term Memory from a Slow Potassium Conductance. J. Neurophysiol. 75:963-966. Marder, E. and Abbott, L.F. (1996) Theory in Motion. Curr. Opin. Neurobiol. 5:832-840.

Blum, K.I. and Abbott, L.F. (1996) A Model of Spatial Map Formation in the Hippocampus of the Rat. Neural Comp. 8:85-93.

Salinas, E. and Abbott, L.F. (1995) Transfer of Coded Information from Sensory to Motor Networks. J. Neurosci. 15:6461-6474. Idiart, M.A.P., Berk, B. and Abbott, L.F. (1995) Reduced Representation by Neural Networks with Finite Receptive Fields. Neural Comp. 7:507-517. Abbott, L.F. (1994) Decoding Neuronal Firing and Modeling Neural Networks. Quart. Rev. Biophys. 27:291-331. Van Vreeswijk, C., Abbott, L.F. and Ermentrout, G.B. (1994) When Inhibition Not Excitation Synchronizes Neuronal Firing. J. Computational Neurosci. 1:313-321. Siegel, M., Marder, E. and Abbott, L.F. (1994) Activity-Dependent Current Distributions in Model Neurons. Proc. Natl. Acad. Sci. USA 91:11308-11312. Dolnik, M., Abbott, L.F. and Epstein, I.R. (1994) Concentration-Dependent Regulation of Flow Rate in a Chemical Oscillator. J. Phys. Chem. 98:10124-10130.

Salinas, E. and Abbott, L.F. (1994) Vector Reconstruction from Firing Rates. J.Computational Neurosci. 1:89-107.

Turrigiano, G., Abbott, L.F. and Marder, E. (1994) Activity-Dependent Changes in the Intrinsic Properties of Cultured Neurons. Science 264:974-977. Marom, S. and Abbott, L.F. (1994) Modeling State-Dependent Inactivation of Membrane Currents. Biophys. J. 67:515-520. Idiart, M.A.P. and Abbott, L.F. (1993) Propagation of Excitation in Neural Network Models. Network: Comp. Neural Sys. 4:285-294. Sharp, A., O'Neil M.B, Abbott, L.F. and Marder, E. (1993) The Dynamic Clamp: Artificial Conductances in Biological Neurons. Trends In Neurosci. 16:389-394.

Abbott, L.F. and LeMasson, G. (1993) Analysis of Neuron Models with Dynamically Regulated Conductances. Neural Comp. 5:823-842.

Abbott, L.F. and Van Vreeswijk, C. (1993) Asynchronous States in Networks of Pulse-Coupled Oscillators. Phys. Rev. E2:1483-1490. Sharp, A.A., O'Neil, M.B., Abbott, L.F. and Marder, E. (1993) The Dynamic Clamp: Computer-Generated Conductances in Real Neurons. J. Neurophysiol. 69: 992-995.

LeMasson, G., Marder, E. and Abbott, L.F. (1993) Activity-Dependent Regulation of Conductances in Model Neurons. Science 259:1915-1917.

Cao, B.J. and Abbott, L.F. (1993) A New Computational Method for Cable Theory Problems. Biophys. J. 64: 303-313. VanVreeswijk, C. and Abbott, L.F. (1993) Self-Sustained Firing in Populations of Integrate and Fire Neurons. SIAM J. Appl. Math. 53:253-264. Marder, E., Abbott, L.F., Buchholtz, F., Epstein, I.R., Golowasch, J. Hooper, S.L. and Kepler, T.B. (1993) Physiological Insights from Cellular and Network Models of the Stomatogastric Nervous System of Lobsters and Crabs. Amer. Zool. 33:29-39.

Sharp, A.A., Abbott, L.F. and Marder, E. (1992) Artificial Electrical Synapses in Oscillating Networks. J. Neurophysiol. 67: 1691-1692.

Abbott, L.F. (1992) Simple Diagrammatic Rules for Solving Dendritic Cable Problems Physica A185: 343-356.

Kepler, T.B., Abbott, L.F. and Marder, E. (1992) Reduction of Conductance-Based Neuron Models. Biol. Cybern. 66: 381-387.

Abbott, L.F. (1991) Realistic Synaptic Inputs for Network Models. Network: Comp.Neural Sys. 2: 245-258.

Abbott, L.F., Farhi, E. and Gutmann, S. (1991) The Path Integral for Dendritic Trees. Biol. Cybern. 66: 49-60.

Abbott, L.F., Marder, E. and Hooper, S.L. (1991) Oscillating Networks: Control of Burst Duration by Electrically Coupled Neurons. Neural Computation 3: 487-497.

Abbott, L.F. (1990) Modulation of Function and Gated Learning in a Network Memory. Proc. Natl. Acad. Sci. USA 87: 9241-9245.

Kepler, T.B., Datt, S., Meyer, R. and Abbott, L.F. (1990) Chaos in a Neural Network Circuit. Physica D46: 449-457.

Abbott, L.F. (1990) A Network of Oscillators. J. Phys. A23: 3835-3859.

Kepler, T.B., Marder, E. and Abbott, L.F. (1990) The Effect of Electrical Coupling on the Frequency of a Model Neuronal Oscillator. Science 248: 83-85.

Abbott, L.F. (1990) Learning in Neural Network Memories. Network: Comp. Neural Sys. 1: 105-122.

Abbott, L.F. and Kepler, T.B. (1989) Optimal Learning in Neural Network Memories. J. Phys. A22: L711-L717.

Abbott, L.F. and Kepler, T.B. (1989) Universality in the Space of Interactions for Network Models. J. Phys. A22: 2031-2038.

Kepler, T.B. and Abbott, L.F. (1988) Domains of Attraction in Neural Networks. J. de Phys. (France) 49: 1657-1662.

Abbott, L.F. and Arian, Y. (1988) Storage Capacity of Generalized Networks. Phys. Rev. A36: 5091-5094.

Abbott, L.F. (1988) A Model of Auto-Catalytic Replication. J. Molecular Evolution 27: 114-120.


Books

Dayan, P. and Abbott, L.F. (2001) Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems (MIT Press, Cambridge MA) (in press).

Abbott, L.F. and Sejnowski, T.J. (Eds.) (1999) Neural Coding and Distributed Representations. (MIT Press, Cambridge MA).

Abbott, L.F. and Pi, S.-Y. (Eds.) (1986) Inflationary Cosmology (World Scientific, Singapore).


Book Chapters and Conference Proceedings

Drew, P.J. and Abbott, L.F. (2002) Modeling Temporal Combination Selective Neurons of the Songbird. In Bower, J. ed. Computational Neuroscience, Trends in Research 2002 (Elsevier, Amsterdam) pp. 789-794. Also in Neurocomputing 44-46: 789-794.

Abbott, L.F. and Marder, E. (2002) Activity-Dependent Regulation of Neuronal Conductances. In Arbib, M., ed. The Handbook of Brain Theory and Neural Networks (Second Edition) (Bradford MIT Press, Cambridge).

Abbott, L.F. and Nelson, S.B. (2002) Temporal Dynamics of Biological Synapses. In Arbib, M., ed. The Handbook of Brain Theory and Neural Networks (Second Edition) (Bradford MIT Press, Cambridge).

Abbott, L.F., Thoroughman, K., Prinz, A., Thirumalai, V. and Marder, E. (2001) Activity-dependent modification of intrinsic and synaptic conductances in neurons and rhythmic networks. In Van Ooyen, A., ed. Modeling Neural Development (MIT Press, Cambridge MA).

Marder, E., Prinz, A. and Abbott, L.F. (2001) Dynamic Clamp: Modeling with Biological Neurons. In Adelman, G. and Smith, B. eds. Elsevier’s Encyclopedia of Neuroscience (Compact Disk) (Elsevier Press, Amsterdam) pp. 579-581.

Abbott, L.F. (2001) Where are the Switches on this Thing? In J.L. van Hemmen and T.J. Sejnowski, eds. 23 Problems in Systems Neuroscience (Oxford University Press, Oxford).

Abbott, L.F., Chance, F.S. and Salinas, E. (2001) Gain Modulation: Applications and Mechanisms. In Elsner, N. and Kreutzberg, G.W. eds. The Neurosciences at the Turn of the Century: Proceedings of the Fourth Meeting of the German Neuroscience Society and Twenty-Eighth Göttingen Neurobiology Conference, Volume I (Georg-Theime-Verlag, Stuttgart) pp. 55-78.

Abbott, L.F. and Nelson, S.B. (2001) Temporal Dynamics of Biological Synapses. In Arbib, M., ed. The Handbook of Brain Theory and Neural Networks (Second Edition)  (Bradford MIT Press, Cambridge).

Chance, F.S. and Abbott, L.F. (2001) Input-Specific Adaptation in Complex Cells through Synaptic Depression. In Bower, J. ed. Computational Neuroscience, Trends in Research 2001 (Elsevier, Amsterdam) pp. 141-146. Also in Neurocomputing 38-40:141-146.

Zhang, J. and Abbott, L.F. (2000) Gain Modulation in Recurrent Networks. In Bower, J. ed. Computational Neuroscience, Trends in Research 2000 (Elsevier, Amsterdam) pp. 623-628. Also in Neurocomputing 32-33: 623-628 (2000).

Song, S. and Abbott, L.F. (2000) Temporally Asymmetric Hebbian Learning and Neuronal Response Variability. In Bower, J. ed. Computational Neuroscience, Trends in Research 2000 (Elsevier, Amsterdam) pp. 523-528. Also in Neurocomputing 32-33: 523-528 (2000).

Chance, F.S. and Abbott, L.F. (2000) A Recurrent Network Model for the Phase-Invariance of Complex Cell Responses. In Bower, J. ed. Computational Neuroscience, Trends in Research 2000 (Elsevier, Amsterdam) pp. 339-344. Also in Neurocomputing 32-33:339-344 (2000). Goldman, M.S., Golowasch, J., Abbott, L.F. and Marder, E. (2000) Dependence of Firing Pattern on Intrinsic Ionic Conductances: Sensitive and Insensitive Combinations. In Bower, J. ed. Computational Neuroscience, Trends in Research 2000 (Elsevier, Amsterdam) pp. 141-146. Also in Neurocomputing 32-33:141-146 (2000).

Salinas, E. and Abbott, L.F. (1999) Coordinate Transformations in the Visual System: How to Generate Gain Fields and What to Compute with Them. In Nicolelis. M., ed. Population Coding (Elsevier, Amsterdam).

Goldman, M.S., Nelson, S.B. and Abbott, L.F. (1999) Decorrelation of Spike Trains by Synaptic Depression. In Bower, J. ed. Computational Neuroscience, Trends in Research 1999 (Elsevier, Amsterdam) pp. 147-154. Also in Neurocomputing 26-27:147-153 (1999).

Marder, E., Golowasch, J., Richards, K.S., Soto-Treviño, C., Miller, W.L., and Abbott, L.F. (1999) Self-assembly of Oscillatory Neurons and Networks. In Mira, M, Sánchez-Andrés, J.V., eds. Foundations and Tools for Neural Modeling. Lecture Notes in Computer Science (Springer-Verlag, Berlin) 1606:1-11.

Abbott, L.F. and Song, Sen (1999) Temporally Asymmetric Hebbian Learning, Spike Timing and Neuronal Response Variability. Kearns, M.S., Solla, S.A. and Cohn, D.A. Eds. Advances in Neural Information Processing Systems 11 (MIT Press, Cambridge MA).

Chance, F.S., Nelson, S.B. and Abbott, L.F. (1999) Recurrent Cortical Amplification Produces Complex Cell Responses. Kearns, M.S., Solla, S.A. and Cohn, D.A. Eds. Advances in Neural Information Processing Systems 11 (MIT Press, Cambridge MA). Birmingham, J.T., Manor, Y., Nadim, F., Abbott, L.F. and Marder, E. (1998) An Empirical Model Describing the Dynamics of Graded Transmission in the Lobster Pyloric Network. In Bower, J. ed. Computational Neuroscience, Trends in Research 1998 (Plenum, NY) pp. 325-330.

Chance, F.S., Nelson, S.B. and Abbott, L.F. (1998) Temporal Characteristics of V1 Cells Arising from Synaptic Depression. In Bower, J. ed. Computational Neuroscience, Trends in Research 1998 (Plenum, NY) pp. 143-148.

Abbott, L.F. and Marder, E. (1998) Modeling Small Networks. In Koch, C. and Segev, I. eds. Methods in Neuronal Modeling (MIT Press, Cambridge MA) pp. 361-410.

Salinas, E. and Abbott, L.F. (1997) Attentional gain modulation as a basis for translation invariance. Bower, J. ed. Computational Neuroscience, Trends in Research (Plenum, NY) pp. 807-812. Abbott, L.F. and Jensen, O. (1997) Self-organizing circuits of model neurons. Bower, J. ed. Computational Neuroscience, Trends in Research (Plenum, NY) pp. 227-230. Nelson, S.B., Varela, J.A., Sen, Kamal and Abbott, L.F. (1997) Functional significance of synaptic depression between cortical neurons. Bower, J. ed. Computational Neuroscience, Trends in Research (Plenum, NY) pp. 429-434. Nadim, F., Manor, Y., Abbott, L.F. and Marder, E. (1997) Strength and Timing of Graded Synaptic Transmisssion Depend on Frequency and Shape of Presynaptic Waveform. Bower, J. ed. Computational Neuroscience, Trends in Research (Plenum, NY) pp. 19-22.

Liu, Z., Casey, M., Marder, E. and Abbott, L.F. (1997) Neurons and networks with activity-dependent conductances. Bower, J. ed. Computational Neuroscience, Trends in Research (Plenum, NY) pp. 723-728.

Marder, E. and Abbott, L.F. (1996) Dynamic Clamp: Modeling with Biological Neurons. Adelman, G. ed. The Encyclopedia of Neuroscience (Elsevier Press, Amsterdam, in press).

Abbott, L.F., Turrigiano, G., LeMasson, G. and Marder, E. (1996) Activity-Dependent Conductances in Model and Biological Neurons. In Waltz, D.L. ed. Natural and Artificial Parallel Computing (SIAM, NY) pp. 43-68.

Sen, K., Jorge-Rivera, J.C., Marder, E. and Abbott, L.F. (1996) Neural Decoding and Synaptic Response Prediction. Bower, J. ed. Computational Neuroscience (Academic Press, Norwell MA) pp. 131-136.

Blum K.I. and Abbott, L.F. (1996) Functional Significance of Long Term Potentiation in Recurrent Networks. Bower, J. ed. Computational Neuroscience (Academic Press, Norwell MA) pp. 163-166.

Abbott, L.F. (1996) Statistical Analysis of Neural Networks. In Smolensky, P., Mozer, M. and Rumelhart, D., eds. Mathematical Perspectives on Neural Networks (Lawrence Erlbaum, Hillsdale NJ).

O'Neil, M., Abbott, L.F., Sharp, A., Turrigiano, G. and Marder, E. (1995) The Dynamic Clamp: Using Neurons as Simulators. In Arbib, M., ed. The Handbook of Brain Theory and Neural Networks (Bradford MIT Press, Cambridge) pp. 326-328.

Abbott, L.F. and Marder, E. (1995) Activity-Dependent Regulation of Neuronal Conductances. In Arbib, M., ed. The Handbook of Brain Theory and Neural Networks (Bradford MIT Press, Cambridge) pp. 63-65.

Salinas, E. and Abbott, L.F. (1995) Decoding Vectorial Information from Firing Rates. In Bower, J.M., ed., The Neurobiology of Computation (Kluwer Academic, Norwell MA) pp. 299-304.

Blum, K.I. and Abbott, L.F. (1995) Functional Significance of Long Term Potentiation in Recurrent Networks. Intl. J. Neural Systems. Supplementary Issue: Neural Networks: From Biology to High Energy Physics. Ed. by D.J. Amit, P. del Giudice, B. Denby, E.T. Rolls and A. Treves. pp. 25-32.

Abbott, L.F. (1995) Information Transfer and Transformation By Neural Networks. Intl. J. Neural Systems. Supplementary Issue: Neural Networks: From Biology to High Energy Physics. Ed. by D.J. Amit, P. del Giudice, B. Denby, E.T. Rolls and A. Treves. pp. 115-122.

Abbott, L.F., LeMasson, G., Siegel, M. and Marder, E. (1993) Activity-Dependent Modification of Intrinsic Neuronal Properties. In Gielen, S. and Kappen, H. eds. ICANN'93: Proceedings of the International Conference on Artificial Neural Networks (Springler-Verlag, London) pp. 171-176.

Abbott, L.F. (1994) Single Neuron Dynamics: An Introduction. In Ventriglia, F., ed. Neural Modelling and Neural Networks (Pergamon Press, Oxford) pp. 57-78. Marder, E., Abbott, L.F., LeMasson, G., O'Neil, M.B., Renaud-LeMasson, S. and Sharp, S. (1994) Biological Simulators: Computer Modification of Neuronal Conductances and Formation of Novel Networks. In Stenger, D.A. and McKenna, T.M., eds. Enabling Technologies for Cultured Networks (Academic Press Harcourt Brace Jovanovich, Orlando FL).

Idiart, M. and Abbott, L.F. (1994) Propagating Waves of Activity in Firing-Rate Models. In Eeckman F.H., ed., Computation in Neurons and Neural Systems (Kluwer Academic, Norwell MA) pp. 263-268.

Abbott, L.F., Siegel, M. and Marder, E. (1994) Activity-Dependent Distributions of Neuronal Conductances. In Eeckman F.H., ed., Computation in Neurons and Neural Systems (Kluwer Academic, Norwell MA) pp. 47-52.

Van Vreeswijk, C. and Abbott, L.F. (1993) The Effect of Synaptic Time Constants on Firing Patterns in Populations of Spiking Neurons. In Gielen, S. and Kappen, H. eds. ICANN'93: Proceedings of the International Conference on Artificial Neural Networks (Springer-Verlag, London) pp. 666-669.

VanVreeswijk, C., Treves, A. and Abbott, L.F. (1993) The Effect of Slow Synaptic Coupling on Populations of Spiking Neurons. In Eeckman F.H. and Bower, J. eds., Computation and Neural Systems (Kluwer Academic Publishers, Boston) pp. 61-66.

Renaud-LeMasson, S., LeMasson, G., Marder, E. and Abbott, L.F. (1993) Hybrid Circuits of Interacting Computer Model and Biological Neurons. In Giles, C.L., Hanson, S.J. and Cowan, J.D., eds. Advances in Neural Information Processing Systems 5 (Morgan Kaufmann, San Mateo CA) pp. 813-819.

Marder, E., Abbott, L.F., Sharp, A.A. and Kopell, N. (1992) Electrical Coupling in Networks Containing Oscillators. In Arbib, M., Rudomin, P., Cervantes, F., eds. Research Notes in Neural Computing (Springer-Verlag, NY) pp. 287-296.

Marder, E., Weimann, J.M., Kepler, T.B. and Abbott, L.F. (1992) Computational Implications of a Serotonin-Sensitive Region of Axonal Membrane on a Dual Function Motor Neuron. In Eeckmann, F., ed. Neural Systems: Analysis and Modeling (Kluwer Academic Publishers, Boston) pp. 377-390.

Abbott, L.F. (1991) Firing-Rate Models for Neural Populations. In Benhar, O., Bosio, C., Del Giudice, P. and Tabet, E., eds. Neural Networks: From Biology to High-Energy Physics (ETS Editrice, Pisa) pp. 179-196.

Marder, E., Abbott, L.F., Kepler, T.B. and Hooper, S.L. (1992) Modification of Oscillator Function by Electrically Coupled Neurons. In Basar, E. and Bullock, T.H., eds. Induced Rhythms of the Brain (Birkhauser Boston, Cambridge MA) pp. 287-296.

Kepler, T.B., Abbott, L.F. and Marder, E. (1991) Order Reduction for Systems of Equations Describing the Behavior of Complex Neurons. In Lippmann, R.P., Moody, J.E, and Touretzky, D., eds. Advances in Neural Information Processing Systems 3 (Morgan Kaufmann, San Mateo CA) pp. 55-61.

Abbott, L.F. and Kepler, T. (1990) Model Neurons: From Hodgkin-Huxley to Hopfield, In Garrido, L., ed. Statistical Mechanics of Neural Networks (Springer-Verlag, Berlin) pp. 5-18.

Abbott, L.F., Hooper, S.L., Kepler, T. and Marder, E. (1990) Oscillating Networks: Modeling the Pyloric Circuit of the Stomatogastric Ganglion. In Proceedings of International Joint Conference on Neural Networks (IEEE, Ann Arbor, 1990) pp. I175 - I180. 

Neuroscience Applications for Mac


Three Mac applications that simulated classic experiments in neuroscience are available. The programs are in two forms, one for use with 68K-based Macs that have a math coprocessor and one for the PowerMac. There are Help files in the programs that describe features and options. The three applications are:

1) Channel: This simulates a patch clamp experiment with from 1 to 1000 channels in the patch. Passive or active channels can be selected and studied by a standard voltage clamp protocol. Clamping voltages and pulse timing can be set as can ion concentrations on both sides of the patch. The program will also plot the macroscopic, Hodgkin-Huxley currents and it is interesting to see how the channel current converges to the H-H current when many channels are included in the patch. The Nernst equation can be verified by changing ion concentrations and measuring reversal potentials.

2) Neuron: This simulates a single-compartment Hodgkin-Huxley neuron. The model can be studied in either current clamp or voltage clamp modes. Individual currents can be blocked to simulate a classic voltage clamp measurement. The timing and magnitude of voltage and current clamp pulses can be set. The surface area of the cell (and thus its capacitance) can be adjusted as can its input impedance (set by adjusting RLeak). A synaptic conductance change with variable time course and reversal potential can be simulated.

3) Cable: This simulates a squid axon as modeled by Hodgkin and Huxley. The top panel shows the axon divided into compartments. Three icons mark electrodes that can be moved to any position by grabbing them with the mouse. The triangle icon is a stimulating electrode and the other two are recording electrodes whose output appears in the bottom two panels. The second panel is a view of the potential everywhere along the axon. By moving the stimulating electrode around, action potentials can be made to propagate in either direction or in pairs from the middle of the axon. The diameter of the axon can be changed to study the effect this has on propagation speed. The cable can also be made passive to look at things like electrotonic length for different diameters. The cable program REQUIRES the file HHTable which must be in the same folder as the Cable application. Both 68K or PPC versions of the applications are included along with a set of sample assignments.